Search Results

Search found 7213 results on 289 pages for 'multi processor'.

Page 97/289 | < Previous Page | 93 94 95 96 97 98 99 100 101 102 103 104  | Next Page >

  • Build 2013&ndash;Keynote Thoughts

    - by D'Arcy Lussier
    Originally posted on: http://geekswithblogs.net/dlussier/archive/2013/06/26/153243.aspxSome thoughts on the Build 2013 keynote. They Listened to Feedback while Keeping to their Plans I am one of the people in the “bring back the start menu” camp. I want my start menu. I *like* my start menu. Microsoft heard that and put it back, fantastic. But they implemented it in a way that still pushes the Windows 8 UI – and I’m actually pretty happy with it. When you hit the Start menu, you get the live-tiles displayed overlaying the desktop. But you can also swipe from the bottom to get the “all-applications” view. This, in essense, is really what those that like the Start Menu want. I believe it was mentioned that you can configure the all-applications view to be the default. They’re Committed to Improving Windows 8 The commitment to rapid deployments Ballmer talked about is crucial to Windows 8’s success. They need to keep it evolving quickly to maintain the interest of users and developers. I think the little improvements they showed are excellent (hands-free mode, multi window docking, better multi-monitor support, new developer controls, etc.). Hardware Vendors are Committed to Windows 8 They showed off a number of new hardware products (Windows 8 and Windows Phone). The Surface’s introduction to the market has done nothing to dissuade their hardware partners. Bing as a Platform is Huge for Developers!!! This was the biggest take-away from the keynote! What the team is doing with Bing not as a search engine but as a developer API is very impressive! I’m going to be diving into this over the rest of Build so watch more blog posts coming on it. Azure, Office 365, and other topics will be covered at tomorrow’s keynote. So far, great kick off to Build. Now on to sessions! D

    Read the article

  • SPARC SuperCluster Papers

    - by user12616590
    Oracle has been publishing white papers that describe uses and characteristics of the SPARC SuperCluster product. Here are just a few: A Technical Overview of the Oracle SPARC SuperCluster T4-4SPARC SuperCluster T4-4 is a high performance, multi-purpose engineered system that has been designed, tested and integrated to run a wide array of enterprise applications. It is well suited for multi-tier enterprise applications with Web, database and application components. This 20-page paper discusses the components and technical characteristics of this product. SPARC SuperCluster T4-4 Platform Security Principles and CapabilitiesThe security capabilities designed into the SPARC SuperCluster, and architectural, deployment, and operational best practices for taking advantage of them. Consolidating Oracle E-Business Suite on Oracle’s SPARC SuperClusterThis Oracle Optimized Solution describes the implementation and use of SPARC SuperCluster as a consolidation platform for E-Business Suite in 30 pages. Oracle Optimized Solution for Oracle PeopleSoft Human Capital Management on SPARC SuperClusterThe Oracle Optimized Solution for PeopleSoft Human Capital Management on SPARC SuperCluster is the industry's only proven, tested, applications-to-disk solution that maintains excellence managing absences, optimizing collaborative activities, streamlining knowledge and honing processes; 31 pages. I hope you find some of those papers useful.

    Read the article

  • How can we add arch specific conflicts tag when building .deb package?

    - by Sphopale
    We are trying to build multi-arch supported i386 .deb package. There are two .deb packages build on i386 X1 & X2 (X2 is a subset of X1 binaries). X1 <- X2 conflict each other when installing . Only one .deb package can be installed at any instance. We similarly have binaries on xa64 arch. Again on xa64, there are two .deb packages X1 & X2 (X2 is a subset of X1 binaries). X1 <- X2 conflict each other when installing . Only one .deb package can be installed at any instance. In case of multi-arch i386 .deb package,i386 .deb packages (X1 & X2) can be installed on xa64 along side with 64bit (X1 & X2) However I see that when installing X1:i386 & X1:amd64 can co-exist However, it throws conflict error when trying to install X1:i386 & X2:amd64 In short, Can we mark package to conflict based on arch Conflict: X2:i386 X1:i386 package should only conflict with X2:i386 & allow other packages to co-exist X1:amd64 package should only conflict with X2:amd64 & allow other packages to co-exist X1:i386 can co-exist with X1:amd64 OR X2:amd64 X2:i386 can co-exist with X1:amd64 OR X2:amd64 Thanks for your reply

    Read the article

  • wireless internet in linux is very very slow... but in windows.... everythnings fine

    - by Cody Acer
    yesterday when i was connecting to our neighbors wifi connection which is the signal strength is below 50%, i cant browse anything... even ping to gateway. 100% packet loss, and sometimes.. i can connect awesomely i can open my facebook account for 15 minutes but after 15min.. connection is extremely slow. but not windows i can surf even the signal str is very poor weird ey??.. root@Emely:~# lspci -knn 00:00.0 Host bridge [0600]: Intel Corporation Atom Processor D4xx/D5xx/N4xx/N5xx DMI Bridge [8086:a010] Subsystem: Samsung Electronics Co Ltd Notebook N150P [144d:c072] Kernel driver in use: agpgart-intel 00:02.0 VGA compatible controller [0300]: Intel Corporation Atom Processor D4xx/D5xx/N4xx/N5xx Integrated Graphics Controller [8086:a011] Subsystem: Samsung Electronics Co Ltd Notebook N150P [144d:c072] Kernel driver in use: i915 Kernel modules: i915 00:02.1 Display controller [0380]: Intel Corporation Atom Processor D4xx/D5xx/N4xx/N5xx Integrated Graphics Controller [8086:a012] Subsystem: Samsung Electronics Co Ltd Notebook N150P [144d:c072] 00:1b.0 Audio device [0403]: Intel Corporation NM10/ICH7 Family High Definition Audio Controller [8086:27d8] (rev 02) Subsystem: Samsung Electronics Co Ltd Notebook N150P [144d:c072] Kernel driver in use: snd_hda_intel Kernel modules: snd-hda-intel 00:1c.0 PCI bridge [0604]: Intel Corporation NM10/ICH7 Family PCI Express Port 1 [8086:27d0] (rev 02) Kernel driver in use: pcieport Kernel modules: shpchp 00:1c.1 PCI bridge [0604]: Intel Corporation NM10/ICH7 Family PCI Express Port 2 [8086:27d2] (rev 02) Kernel driver in use: pcieport Kernel modules: shpchp 00:1c.2 PCI bridge [0604]: Intel Corporation NM10/ICH7 Family PCI Express Port 3 [8086:27d4] (rev 02) Kernel driver in use: pcieport Kernel modules: shpchp 00:1c.3 PCI bridge [0604]: Intel Corporation NM10/ICH7 Family PCI Express Port 4 [8086:27d6] (rev 02) Kernel driver in use: pcieport Kernel modules: shpchp 00:1d.0 USB controller [0c03]: Intel Corporation NM10/ICH7 Family USB UHCI Controller #1 [8086:27c8] (rev 02) Subsystem: Samsung Electronics Co Ltd Notebook N150P [144d:c072] Kernel driver in use: uhci_hcd 00:1d.1 USB controller [0c03]: Intel Corporation NM10/ICH7 Family USB UHCI Controller #2 [8086:27c9] (rev 02) Subsystem: Samsung Electronics Co Ltd Notebook N150P [144d:c072] Kernel driver in use: uhci_hcd 00:1d.2 USB controller [0c03]: Intel Corporation NM10/ICH7 Family USB UHCI Controller #3 [8086:27ca] (rev 02) Subsystem: Samsung Electronics Co Ltd Notebook N150P [144d:c072] Kernel driver in use: uhci_hcd 00:1d.3 USB controller [0c03]: Intel Corporation NM10/ICH7 Family USB UHCI Controller #4 [8086:27cb] (rev 02) Subsystem: Samsung Electronics Co Ltd Notebook N150P [144d:c072] Kernel driver in use: uhci_hcd 00:1d.7 USB controller [0c03]: Intel Corporation NM10/ICH7 Family USB2 EHCI Controller [8086:27cc] (rev 02) Subsystem: Samsung Electronics Co Ltd Notebook N150P [144d:c072] Kernel driver in use: ehci-pci 00:1e.0 PCI bridge [0604]: Intel Corporation 82801 Mobile PCI Bridge [8086:2448] (rev e2) 00:1f.0 ISA bridge [0601]: Intel Corporation NM10 Family LPC Controller [8086:27bc] (rev 02) Subsystem: Samsung Electronics Co Ltd Notebook N150P [144d:c072] Kernel driver in use: lpc_ich Kernel modules: lpc_ich 00:1f.2 SATA controller [0106]: Intel Corporation NM10/ICH7 Family SATA Controller [AHCI mode] [8086:27c1] (rev 02) Subsystem: Samsung Electronics Co Ltd Notebook N150P [144d:c072] Kernel driver in use: ahci Kernel modules: ahci 00:1f.3 SMBus [0c05]: Intel Corporation NM10/ICH7 Family SMBus Controller [8086:27da] (rev 02) Subsystem: Samsung Electronics Co Ltd Notebook N150P [144d:c072] Kernel modules: i2c-i801 05:00.0 Network controller [0280]: Broadcom Corporation BCM4313 802.11bgn Wireless Network Adapter [14e4:4727] (rev 01) Subsystem: Wistron NeWeb Corp. Device [185f:051a] Kernel driver in use: bcma-pci-bridge Kernel modules: bcma 09:00.0 Ethernet controller [0200]: Marvell Technology Group Ltd. 88E8040 PCI-E Fast Ethernet Controller [11ab:4354] Subsystem: Samsung Electronics Co Ltd Notebook N150P [144d:c072] Kernel driver in use: sky2 Kernel modules: sky2 root@Emely:~# ip addr show 1: lo: mtu 65536 qdisc noqueue state UNKNOWN link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00 inet 127.0.0.1/8 scope host lo inet6 ::1/128 scope host valid_lft forever preferred_lft forever 2: eth0: mtu 1500 qdisc pfifo_fast state DOWN qlen 1000 link/ether e8:11:32:2e:a6:fd brd ff:ff:ff:ff:ff:ff 3: wlan0: mtu 1500 qdisc mq state UP qlen 1000 link/ether 00:1b:b1:a9:ac:e0 brd ff:ff:ff:ff:ff:ff inet 192.168.1.108/24 brd 192.168.1.255 scope global wlan0 inet6 fe80::21b:b1ff:fea9:ace0/64 scope link valid_lft forever preferred_lft forever root@Emely:~# ip link show 1: lo: mtu 65536 qdisc noqueue state UNKNOWN link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00 2: eth0: mtu 1500 qdisc pfifo_fast state DOWN qlen 1000 link/ether e8:11:32:2e:a6:fd brd ff:ff:ff:ff:ff:ff 3: wlan0: mtu 1500 qdisc mq state UP qlen 1000 link/ether 00:1b:b1:a9:ac:e0 brd ff:ff:ff:ff:ff:ff root@Emely:~# rfkill list all 0: samsung-wlan: Wireless LAN Soft blocked: no Hard blocked: no 1: samsung-bluetooth: Bluetooth Soft blocked: no Hard blocked: no 2: hci0: Bluetooth Soft blocked: no Hard blocked: no 3: phy0: Wireless LAN Soft blocked: no Hard blocked: no is this a wireless driver issue?

    Read the article

  • Parallelism in .NET – Part 5, Partitioning of Work

    - by Reed
    When parallelizing any routine, we start by decomposing the problem.  Once the problem is understood, we need to break our work into separate tasks, so each task can be run on a different processing element.  This process is called partitioning. Partitioning our tasks is a challenging feat.  There are opposing forces at work here: too many partitions adds overhead, too few partitions leaves processors idle.  Trying to work the perfect balance between the two extremes is the goal for which we should aim.  Luckily, the Task Parallel Library automatically handles much of this process.  However, there are situations where the default partitioning may not be appropriate, and knowledge of our routines may allow us to guide the framework to making better decisions. First off, I’d like to say that this is a more advanced topic.  It is perfectly acceptable to use the parallel constructs in the framework without considering the partitioning taking place.  The default behavior in the Task Parallel Library is very well-behaved, even for unusual work loads, and should rarely be adjusted.  I have found few situations where the default partitioning behavior in the TPL is not as good or better than my own hand-written partitioning routines, and recommend using the defaults unless there is a strong, measured, and profiled reason to avoid using them.  However, understanding partitioning, and how the TPL partitions your data, helps in understanding the proper usage of the TPL. I indirectly mentioned partitioning while discussing aggregation.  Typically, our systems will have a limited number of Processing Elements (PE), which is the terminology used for hardware capable of processing a stream of instructions.  For example, in a standard Intel i7 system, there are four processor cores, each of which has two potential hardware threads due to Hyperthreading.  This gives us a total of 8 PEs – theoretically, we can have up to eight operations occurring concurrently within our system. In order to fully exploit this power, we need to partition our work into Tasks.  A task is a simple set of instructions that can be run on a PE.  Ideally, we want to have at least one task per PE in the system, since fewer tasks means that some of our processing power will be sitting idle.  A naive implementation would be to just take our data, and partition it with one element in our collection being treated as one task.  When we loop through our collection in parallel, using this approach, we’d just process one item at a time, then reuse that thread to process the next, etc.  There’s a flaw in this approach, however.  It will tend to be slower than necessary, often slower than processing the data serially. The problem is that there is overhead associated with each task.  When we take a simple foreach loop body and implement it using the TPL, we add overhead.  First, we change the body from a simple statement to a delegate, which must be invoked.  In order to invoke the delegate on a separate thread, the delegate gets added to the ThreadPool’s current work queue, and the ThreadPool must pull this off the queue, assign it to a free thread, then execute it.  If our collection had one million elements, the overhead of trying to spawn one million tasks would destroy our performance. The answer, here, is to partition our collection into groups, and have each group of elements treated as a single task.  By adding a partitioning step, we can break our total work into small enough tasks to keep our processors busy, but large enough tasks to avoid overburdening the ThreadPool.  There are two clear, opposing goals here: Always try to keep each processor working, but also try to keep the individual partitions as large as possible. When using Parallel.For, the partitioning is always handled automatically.  At first, partitioning here seems simple.  A naive implementation would merely split the total element count up by the number of PEs in the system, and assign a chunk of data to each processor.  Many hand-written partitioning schemes work in this exactly manner.  This perfectly balanced, static partitioning scheme works very well if the amount of work is constant for each element.  However, this is rarely the case.  Often, the length of time required to process an element grows as we progress through the collection, especially if we’re doing numerical computations.  In this case, the first PEs will finish early, and sit idle waiting on the last chunks to finish.  Sometimes, work can decrease as we progress, since previous computations may be used to speed up later computations.  In this situation, the first chunks will be working far longer than the last chunks.  In order to balance the workload, many implementations create many small chunks, and reuse threads.  This adds overhead, but does provide better load balancing, which in turn improves performance. The Task Parallel Library handles this more elaborately.  Chunks are determined at runtime, and start small.  They grow slowly over time, getting larger and larger.  This tends to lead to a near optimum load balancing, even in odd cases such as increasing or decreasing workloads.  Parallel.ForEach is a bit more complicated, however. When working with a generic IEnumerable<T>, the number of items required for processing is not known in advance, and must be discovered at runtime.  In addition, since we don’t have direct access to each element, the scheduler must enumerate the collection to process it.  Since IEnumerable<T> is not thread safe, it must lock on elements as it enumerates, create temporary collections for each chunk to process, and schedule this out.  By default, it uses a partitioning method similar to the one described above.  We can see this directly by looking at the Visual Partitioning sample shipped by the Task Parallel Library team, and available as part of the Samples for Parallel Programming.  When we run the sample, with four cores and the default, Load Balancing partitioning scheme, we see this: The colored bands represent each processing core.  You can see that, when we started (at the top), we begin with very small bands of color.  As the routine progresses through the Parallel.ForEach, the chunks get larger and larger (seen by larger and larger stripes). Most of the time, this is fantastic behavior, and most likely will out perform any custom written partitioning.  However, if your routine is not scaling well, it may be due to a failure in the default partitioning to handle your specific case.  With prior knowledge about your work, it may be possible to partition data more meaningfully than the default Partitioner. There is the option to use an overload of Parallel.ForEach which takes a Partitioner<T> instance.  The Partitioner<T> class is an abstract class which allows for both static and dynamic partitioning.  By overriding Partitioner<T>.SupportsDynamicPartitions, you can specify whether a dynamic approach is available.  If not, your custom Partitioner<T> subclass would override GetPartitions(int), which returns a list of IEnumerator<T> instances.  These are then used by the Parallel class to split work up amongst processors.  When dynamic partitioning is available, GetDynamicPartitions() is used, which returns an IEnumerable<T> for each partition.  If you do decide to implement your own Partitioner<T>, keep in mind the goals and tradeoffs of different partitioning strategies, and design appropriately. The Samples for Parallel Programming project includes a ChunkPartitioner class in the ParallelExtensionsExtras project.  This provides example code for implementing your own, custom allocation strategies, including a static allocator of a given chunk size.  Although implementing your own Partitioner<T> is possible, as I mentioned above, this is rarely required or useful in practice.  The default behavior of the TPL is very good, often better than any hand written partitioning strategy.

    Read the article

  • HTC to launch Windows 7 phone in India

    - by samsudeen
    It is a good news for the Indian smart phone users as the wait is finally over for Windows 7 mobile.The Taiwanese  mobile giant HTC is all set to release its Windows 7 based Smartphone series in India from January. HTC HD7 & HTC Mozart , the two smart phones running on Windows 7 OS started appearing on the HTC Indian website (HTC India) from last week.Though Flip kart (Indian online e-commerce website)  has started getting pre -orders for HTC HD7 a month ago , the buzz has started from last week after the introduction of “HTC Mozart”. The complete feature comparison between both the smart phones is given below. Feature Comparison HTC Mozart HTC HD 7 Microsoft Windows 7 Microsoft Windows 7 Qualcomm Snapdragon Processor QSD 8250 1 GHz CPU Qualcomm Snapdragon Processor QSD 8250 1 GHz CPU 8MegaPixel camera with Xenon Flash 5 MP, 2592?1944 pixels, autofocus, dual-LED flash, 480 x 800 pixels, 3.7 inches 480 x 800 pixels, 4.3 inches 11.9mm thick and Weighs 130g 11.2 mm thick and Weighs 162 g Bluetooth 2.1 Bluetooth 2.1 8 GB of internal storage memory 8 GB of internal storage memory 512MB of ROM and 576 of RAM 512MB of ROM and 576 of RAM 3G HSDPA 7.2 Mbps and HSUPA 2 Mbps 3G HSDPA 7.2 Mbps; HSUPA 2 Mbps Wi-Fi 802.11 b/g/n Wi-Fi 802.11 b/g/n Micro-USB interconnector Micro-USB interconnector 3.5mm audio jack 3.5mm audio jack GPS antenna GPS antenna Standard battery Li-Po 1300 MA Standard battery, Li-Ion 1230 MA Standby 360 h (2G) up to 435 h (3G) Up to 310 h (2G) / Up to 320 h (3G) Talk time Up to 6 h 40 min (2G) and 5 h 30 min (3G) Up to 6 h 20 min (2G) / Up to 5 h 20 min (3G) Estimated Price “HTC HD 7″ is priced between  INR 27855 to 32000. though the price of “HDT Mozart” is officially not announced it is estimated to be around INR 30000. Where to Buy The Windows 7 phone is not yet available in stores directly, but most of the leading mobile stores are getting pre -orders. I have given some of the online store links below. Flip kart UniverCell This article titled,HTC to launch Windows 7 phone in India, was originally published at Tech Dreams. Grab our rss feed or fan us on Facebook to get updates from us.

    Read the article

  • SQLAuthority News – SQL SERVER 2008 R2 Pricing

    - by pinaldave
    I was recently asked question about SQL Server 2008 pricing. I have bookmarked official site here which lists the pricing. Official site: What’s New in SQL Server 2008 R2 Editions Editions Per Processor PricingRetail Per Server Plus CAL PricingRetail Parallel Data Warehouse $57,498 Not offered via Server CAL Datacenter $57,498 Not offered via Server CAL Enterprise $28,749 $13,969 with 25 CALs Standard $7,499 $1,849 with 5 CALs However, I have [...]

    Read the article

  • Four Emerging Payment Stories

    - by David Dorf
    The world of alternate payments has been moving fast of late.  Innovation in this area will help both consumers and retailers, but probably hurt the banks (at least that's the plan).  Here are four recent news items in this area: Dwolla, a start-up in Iowa, is trying to make credit cards obsolete.  Twelve guys in Des Moines are using $1.3M they raised to allow businesses to skip the credit card networks and avoid the fees.  Today they move about $1M a day across their network with an average transaction size of $500. Instead of charging merchants 2.9% plus $.30 per transaction, Dwolla charges a quarter -- yep, that coin featuring George Washington. Dwolla (Web + Dollar = Dwolla) avoids the credit networks and connects directly to bank accounts using the bank's ACH network.  They are signing up banks and merchants targeting both B2B and C2B as well as P2P payments.  They leverage social networks to notify people they have a money transfer, and also have a mobile app that uses GPS location. However, all is not rosy.  There have been complaints about unexpected chargebacks and with debit fees being reduced by the big banks, the need is not as pronounced.  The big banks are working on their own network called clearXchange that could provide stiff competition. VeriFone just bought European payment processor Point for around $1B.  By itself this would not have caught my attention except for the fact that VeriFone also announced the acquisition of GlobalBay earlier this month.  In addition to their core business of selling stand-beside payment terminals, with GlobalBay they get employee-operated mobile selling tools and with Point they get a very big payment processing platform. MasterCard and Intel announced a partnership around payments, starting with PayPass, MasterCard's new payment technology.  Intel will lend its expertise to add additional levels of security, which seems to be the biggest barrier for consumer adoption.  Everyone is scrambling to get their piece of cash transactions, which still represents 85% of all transactions. Apple was awarded another mobile payment patent further cementing the rumors that the iPhone 5 will support NFC payments.  As usual, Apple is upsetting the apple cart (sorry) by moving control of key data from the carriers to Apple.  With Apple's vast number of iTunes accounts, they have a ready-made customer base to use the payment infrastructure, which I bet will slowly transition people away from credit cards and toward cheaper ACH.  Gary Schwartz explains the three step process Apple is taking to become a payment processor. Below is a picture I drew representing payments in the retail industry. There's certainly a lot of innovation happening.

    Read the article

  • SQLAuthority News SQL SERVER 2008 R2 Pricing

    I was recently asked question about SQL Server 2008 pricing. I have bookmarked official site here which lists the pricing.Official site: What’s New in SQL Server 2008 R2 EditionsEditionsPer Processor PricingRetailPer Server Plus CAL PricingRetailParallel Data Warehouse$57,498Not offered via Server CALDatacenter $57,498Not offered via Server CALEnterprise$28,749$13,969 with 25 CALsStandard $7,499$1,849 with 5 CALsHowever, I have [...]...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

    Read the article

  • Tricks and Optimizations for you Sitecore website

    - by amaniar
    When working with Sitecore there are some optimizations/configurations I usually repeat in order to make my app production ready. Following is a small list I have compiled from experience, Sitecore documentation, communicating with Sitecore Engineers etc. This is not supposed to be technically complete and might not be fit for all environments.   Simple configurations that can make a difference: 1) Configure Sitecore Caches. This is the most straight forward and sure way of increasing the performance of your website. Data and item cache sizes (/databases/database/ [id=web] ) should be configured as needed. You may start with a smaller number and tune them as needed. <cacheSizes hint="setting"> <data>300MB</data> <items>300MB</items> <paths>5MB</paths> <standardValues>5MB</standardValues> </cacheSizes> Tune the html, registry etc cache sizes for your website.   <cacheSizes> <sites> <website> <html>300MB</html> <registry>1MB</registry> <viewState>10MB</viewState> <xsl>5MB</xsl> </website> </sites> </cacheSizes> Tune the prefetch cache settings under the App_Config/Prefetch/ folder. Sample /App_Config/Prefetch/Web.Config: <configuration> <cacheSize>300MB</cacheSize> <!--preload items that use this template--> <template desc="mytemplate">{XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX}</template> <!--preload this item--> <item desc="myitem">{XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX }</item> <!--preload children of this item--> <children desc="childitems">{XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX}</children> </configuration> Break your page into sublayouts so you may cache most of them. Read the caching configuration reference: http://sdn.sitecore.net/upload/sitecore6/sc62keywords/cache_configuration_reference_a4.pdf   2) Disable Analytics for the Shell Site <site name="shell" virtualFolder="/sitecore/shell" physicalFolder="/sitecore/shell" rootPath="/sitecore/content" startItem="/home" language="en" database="core" domain="sitecore" loginPage="/sitecore/login" content="master" contentStartItem="/Home" enableWorkflow="true" enableAnalytics="false" xmlControlPage="/sitecore/shell/default.aspx" browserTitle="Sitecore" htmlCacheSize="2MB" registryCacheSize="3MB" viewStateCacheSize="200KB" xslCacheSize="5MB" />   3) Increase the Check Interval for the MemoryMonitorHook so it doesn’t run every 5 seconds (default). <hook type="Sitecore.Diagnostics.MemoryMonitorHook, Sitecore.Kernel"> <param desc="Threshold">800MB</param> <param desc="Check interval">00:05:00</param> <param desc="Minimum time between log entries">00:01:00</param> <ClearCaches>false</ClearCaches> <GarbageCollect>false</GarbageCollect> <AdjustLoadFactor>false</AdjustLoadFactor> </hook>   4) Set Analytics.PeformLookup (Sitecore.Analytics.config) to false if your environment doesn’t have access to the internet or you don’t intend to use reverse DNS lookup. <setting name="Analytics.PerformLookup" value="false" />   5) Set the value of the “Media.MediaLinkPrefix” setting to “-/media”: <setting name="Media.MediaLinkPrefix" value="-/media" /> Add the following line to the customHandlers section: <customHandlers> <handler trigger="-/media/" handler="sitecore_media.ashx" /> <handler trigger="~/media/" handler="sitecore_media.ashx" /> <handler trigger="~/api/" handler="sitecore_api.ashx" /> <handler trigger="~/xaml/" handler="sitecore_xaml.ashx" /> <handler trigger="~/icon/" handler="sitecore_icon.ashx" /> <handler trigger="~/feed/" handler="sitecore_feed.ashx" /> </customHandlers> Link: http://squad.jpkeisala.com/2011/10/sitecore-media-library-performance-optimization-checklist/   6) Performance counters should be disabled in production if not being monitored <setting name="Counters.Enabled" value="false" />   7) Disable Item/Memory/Timing threshold warnings. Due to the nature of this component, it brings no value in production. <!--<processor type="Sitecore.Pipelines.HttpRequest.StartMeasurements, Sitecore.Kernel" />--> <!--<processor type="Sitecore.Pipelines.HttpRequest.StopMeasurements, Sitecore.Kernel"> <TimingThreshold desc="Milliseconds">1000</TimingThreshold> <ItemThreshold desc="Item count">1000</ItemThreshold> <MemoryThreshold desc="KB">10000</MemoryThreshold> </processor>—>   8) The ContentEditor.RenderCollapsedSections setting is a hidden setting in the web.config file, which by default is true. Setting it to false will improve client performance for authoring environments. <setting name="ContentEditor.RenderCollapsedSections" value="false" />   9) Add a machineKey section to your Web.Config file when using a web farm. Link: http://msdn.microsoft.com/en-us/library/ff649308.aspx   10) If you get errors in the log files similar to: WARN Could not create an instance of the counter 'XXX.XXX' (category: 'Sitecore.System') Exception: System.UnauthorizedAccessException Message: Access to the registry key 'Global' is denied. Make sure the ApplicationPool user is a member of the system “Performance Monitor Users” group on the server.   11) Disable WebDAV configurations on the CD Server if not being used. More: http://sitecoreblog.alexshyba.com/2011/04/disable-webdav-in-sitecore.html   12) Change Log4Net settings to only log Errors on content delivery environments to avoid unnecessary logging. <root> <priority value="ERROR" /> <appender-ref ref="LogFileAppender" /> </root>   13) Disable Analytics for any content item that doesn’t add value. For example a page that redirects to another page.   14) When using Web User Controls avoid registering them on the page the asp.net way: <%@ Register Src="~/layouts/UserControls/MyControl.ascx" TagName="MyControl" TagPrefix="uc2" %> Use Sublayout web control instead – This way Sitecore caching could be leveraged <sc:Sublayout ID="ID" Path="/layouts/UserControls/MyControl.ascx" Cacheable="true" runat="server" />   15) Avoid querying for all children recursively when all items are direct children. Sitecore.Context.Database.SelectItems("/sitecore/content/Home//*"); //Use: Sitecore.Context.Database.GetItem("/sitecore/content/Home");   16) On IIS — you enable static & dynamic content compression on CM and CD More: http://technet.microsoft.com/en-us/library/cc754668%28WS.10%29.aspx   17) Enable HTTP Keep-alive and content expiration in IIS.   18) Use GUID’s when accessing items and fields instead of names or paths. Its faster and wont break your code when things get moved or renamed. Context.Database.GetItem("{324DFD16-BD4F-4853-8FF1-D663F6422DFF}") Context.Item.Fields["{89D38A8F-394E-45B0-826B-1A826CF4046D}"]; //is better than Context.Database.GetItem("/Home/MyItem") Context.Item.Fields["FieldName"]   Hope this helps.

    Read the article

  • SQLBits 8 – Conor’s back

    - by simonsabin
    I recently announced the awesome line up for SQLBits 8 in which I mentioned Conor Cunningham . Yes we have Conor coming back. Conor is the most popular SQLBits speaker ever. Conor Cunningham is a Principal Software Architect at Microsoft on the SQL Server Query Processor Team.  He's worked on database technologies for Microsoft for over 10 years and is holds numerous patents related to Query Optimization and Query Processing.  Conor is the author of a number of peer-reviewed articles...(read more)

    Read the article

  • New Netra SPARC T3 Servers

    - by Ferhat Hatay
    Today at the Mobile World Congress 2011, Oracle announced two new carrier-grade NEBS Level 3- certified servers: Oracle’s Netra SPARC T3-1 rackmount server and Oracle’s Netra SPARC T3-1BA ATCA blade server bringing the performance, scalability and power efficiency of the newest SPARC T3 processor to the communications market.    The Netra SPARC T3-1 server enclosure has a compact 20inch-deep carrier-grade rack-optimized design The new Netra SPARC T3 servers further expand Oracle’s complete portfolio for the communications industry, which includes carrier-grade servers, storage and application software to run operations support systems and service delivery platforms with easy migration capabilities and unmatched investment protection via the binary compatibility guarantee of the Oracle Solaris operating system. With advanced reliability, networking and security features built-in to Oracle Solaris – the most widely deployed carrier-grade OS – the systems announced today are uniquely suited for mission-critical core network infrastructure and service delivery. The world’s first carrier-grade system using the 16-core, 128-thread SPARC T3 processor, the Netra SPARC T3-1 server supports 2x the I/O bandwidth, 2x the memory and is 35 percent faster than the previous generation. With integrated on-chip 10 Gigabit Ethernet, on-chip cryptographic acceleration, and built-in, no-cost Oracle VM Server for SPARC and Oracle Solaris Containers for virtualization, the Netra SPARC T3-1 server is an ideal platform for consolidation, offering 128 virtual systems in a single server. As the next generation Netra SPARC ATCA blade, Netra SPARC T3-1BA ATCA blade server brings the PICMG 3.0 compatibility, NEBS Level 3 Certification, ETSI compliance and the Netra business practices to the customer solution. The Netra SPARC T3-1BA ATCA blade server can be mixed in the Sun Netra CT900 blade chassis with other ATCA UltraSPARC and x86 blades.     The Netra SPARC T3-1BA ATCA blade server   The Netra SPARC T3-1BA ATCA blade server delivers industry-leading scalability, density and cost efficiency with up to 36 SPARC T3 processors (3456 processing threads) in a single rack – a 50 percent increase over the previous generation. The Netra SPARC T3-1BA blade server also offers high-bandwidth and high-capacity I/O, with greater memory capacity to tackle the increasing business demands of the communications industry. For service providers faced with the rapid growth of broadband networks and the dramatic surge in global smartphone adoption, the new Netra SPARC T3 systems deliver continuous availability with massive scalability, tested and certified to run in the harshest conditions. More information Oracle’s Sun Netra Servers Scaling Throughput and Managing TCO with Oracle’s Netra SPARC T3-1 Servers Enabling End-to-End 10 Gigabit Ethernet in Oracle's Sun Netra ATCA Product Family Data Sheet: Netra SPARC T3-1BA ATCA Blade Server Data Sheet: Netra SPARC T3-1 Server Oracle Solaris: The Carrier Grade Operating System

    Read the article

  • Going Parallel with the Task Parallel Library and PLINQ

    With more and more computers using a multi-core processor, the free lunch of increased clock speeds and the inherent performance gains are over. Software developers must instead make sure their applications take use of all the cores available in an efficient manner. New features in .NET 4.0 mean that managed code developers too can join the party.

    Read the article

  • NET Math Libraries

    - by JoshReuben
    NET Mathematical Libraries   .NET Builder for Matlab The MathWorks Inc. - http://www.mathworks.com/products/netbuilder/ MATLAB Builder NE generates MATLAB based .NET and COM components royalty-free deployment creates the components by encrypting MATLAB functions and generating either a .NET or COM wrapper around them. .NET/Link for Mathematica www.wolfram.com a product that 2-way integrates Mathematica and Microsoft's .NET platform call .NET from Mathematica - use arbitrary .NET types directly from the Mathematica language. use and control the Mathematica kernel from a .NET program. turns Mathematica into a scripting shell to leverage the computational services of Mathematica. write custom front ends for Mathematica or use Mathematica as a computational engine for another program comes with full source code. Leverages MathLink - a Wolfram Research's protocol for sending data and commands back and forth between Mathematica and other programs. .NET/Link abstracts the low-level details of the MathLink C API. Extreme Optimization http://www.extremeoptimization.com/ a collection of general-purpose mathematical and statistical classes built for the.NET framework. It combines a math library, a vector and matrix library, and a statistics library in one package. download the trial of version 4.0 to try it out. Multi-core ready - Full support for Task Parallel Library features including cancellation. Broad base of algorithms covering a wide range of numerical techniques, including: linear algebra (BLAS and LAPACK routines), numerical analysis (integration and differentiation), equation solvers. Mathematics leverages parallelism using .NET 4.0's Task Parallel Library. Basic math: Complex numbers, 'special functions' like Gamma and Bessel functions, numerical differentiation. Solving equations: Solve equations in one variable, or solve systems of linear or nonlinear equations. Curve fitting: Linear and nonlinear curve fitting, cubic splines, polynomials, orthogonal polynomials. Optimization: find the minimum or maximum of a function in one or more variables, linear programming and mixed integer programming. Numerical integration: Compute integrals over finite or infinite intervals, over 2D and higher dimensional regions. Integrate systems of ordinary differential equations (ODE's). Fast Fourier Transforms: 1D and 2D FFT's using managed or fast native code (32 and 64 bit) BigInteger, BigRational, and BigFloat: Perform operations with arbitrary precision. Vector and Matrix Library Real and complex vectors and matrices. Single and double precision for elements. Structured matrix types: including triangular, symmetrical and band matrices. Sparse matrices. Matrix factorizations: LU decomposition, QR decomposition, singular value decomposition, Cholesky decomposition, eigenvalue decomposition. Portability and performance: Calculations can be done in 100% managed code, or in hand-optimized processor-specific native code (32 and 64 bit). Statistics Data manipulation: Sort and filter data, process missing values, remove outliers, etc. Supports .NET data binding. Statistical Models: Simple, multiple, nonlinear, logistic, Poisson regression. Generalized Linear Models. One and two-way ANOVA. Hypothesis Tests: 12 14 hypothesis tests, including the z-test, t-test, F-test, runs test, and more advanced tests, such as the Anderson-Darling test for normality, one and two-sample Kolmogorov-Smirnov test, and Levene's test for homogeneity of variances. Multivariate Statistics: K-means cluster analysis, hierarchical cluster analysis, principal component analysis (PCA), multivariate probability distributions. Statistical Distributions: 25 29 continuous and discrete statistical distributions, including uniform, Poisson, normal, lognormal, Weibull and Gumbel (extreme value) distributions. Random numbers: Random variates from any distribution, 4 high-quality random number generators, low discrepancy sequences, shufflers. New in version 4.0 (November, 2010) Support for .NET Framework Version 4.0 and Visual Studio 2010 TPL Parallellized – multicore ready sparse linear program solver - can solve problems with more than 1 million variables. Mixed integer linear programming using a branch and bound algorithm. special functions: hypergeometric, Riemann zeta, elliptic integrals, Frensel functions, Dawson's integral. Full set of window functions for FFT's. Product  Price Update subscription Single Developer License $999  $399  Team License (3 developers) $1999  $799  Department License (8 developers) $3999  $1599  Site License (Unlimited developers in one physical location) $7999  $3199    NMath http://www.centerspace.net .NET math and statistics libraries matrix and vector classes random number generators Fast Fourier Transforms (FFTs) numerical integration linear programming linear regression curve and surface fitting optimization hypothesis tests analysis of variance (ANOVA) probability distributions principal component analysis cluster analysis built on the Intel Math Kernel Library (MKL), which contains highly-optimized, extensively-threaded versions of BLAS (Basic Linear Algebra Subroutines) and LAPACK (Linear Algebra PACKage). Product  Price Update subscription Single Developer License $1295 $388 Team License (5 developers) $5180 $1554   DotNumerics http://www.dotnumerics.com/NumericalLibraries/Default.aspx free DotNumerics is a website dedicated to numerical computing for .NET that includes a C# Numerical Library for .NET containing algorithms for Linear Algebra, Differential Equations and Optimization problems. The Linear Algebra library includes CSLapack, CSBlas and CSEispack, ports from Fortran to C# of LAPACK, BLAS and EISPACK, respectively. Linear Algebra (CSLapack, CSBlas and CSEispack). Systems of linear equations, eigenvalue problems, least-squares solutions of linear systems and singular value problems. Differential Equations. Initial-value problem for nonstiff and stiff ordinary differential equations ODEs (explicit Runge-Kutta, implicit Runge-Kutta, Gear's BDF and Adams-Moulton). Optimization. Unconstrained and bounded constrained optimization of multivariate functions (L-BFGS-B, Truncated Newton and Simplex methods).   Math.NET Numerics http://numerics.mathdotnet.com/ free an open source numerical library - includes special functions, linear algebra, probability models, random numbers, interpolation, integral transforms. A merger of dnAnalytics with Math.NET Iridium in addition to a purely managed implementation will also support native hardware optimization. constants & special functions complex type support real and complex, dense and sparse linear algebra (with LU, QR, eigenvalues, ... decompositions) non-uniform probability distributions, multivariate distributions, sample generation alternative uniform random number generators descriptive statistics, including order statistics various interpolation methods, including barycentric approaches and splines numerical function integration (quadrature) routines integral transforms, like fourier transform (FFT) with arbitrary lengths support, and hartley spectral-space aware sequence manipulation (signal processing) combinatorics, polynomials, quaternions, basic number theory. parallelized where appropriate, to leverage multi-core and multi-processor systems fully managed or (if available) using native libraries (Intel MKL, ACMS, CUDA, FFTW) provides a native facade for F# developers

    Read the article

  • ANTS CLR and Memory Profiler In Depth Review (Part 1 of 2 &ndash; CLR Profiler)

    - by ToStringTheory
    One of the things that people might not know about me, is my obsession to make my code as efficient as possible.  Many people might not realize how much of a task or undertaking that this might be, but it is surely a task as monumental as climbing Mount Everest, except this time it is a challenge for the mind…  In trying to make code efficient, there are many different factors that play a part – size of project or solution, tiers, language used, experience and training of the programmer, technologies used, maintainability of the code – the list can go on for quite some time. I spend quite a bit of time when developing trying to determine what is the best way to implement a feature to accomplish the efficiency that I look to achieve.  One program that I have recently come to learn about – Red Gate ANTS Performance (CLR) and Memory profiler gives me tools to accomplish that job more efficiently as well.  In this review, I am going to cover some of the features of the ANTS profiler set by compiling some hideous example code to test against. Notice As a member of the Geeks With Blogs Influencers program, one of the perks is the ability to review products, in exchange for a free license to the program.  I have not let this affect my opinions of the product in any way, and Red Gate nor Geeks With Blogs has tried to influence my opinion regarding this product in any way. Introduction The ANTS Profiler pack provided by Red Gate was something that I had not heard of before receiving an email regarding an offer to review it for a license.  Since I look to make my code efficient, it was a no brainer for me to try it out!  One thing that I have to say took me by surprise is that upon downloading the program and installing it you fill out a form for your usual contact information.  Sure enough within 2 hours, I received an email from a sales representative at Red Gate asking if she could help me to achieve the most out of my trial time so it wouldn’t go to waste.  After replying to her and explaining that I was looking to review its feature set, she put me in contact with someone that setup a demo session to give me a quick rundown of its features via an online meeting.  After having dealt with a massive ordeal with one of my utility companies and their complete lack of customer service, Red Gates friendly and helpful representatives were a breath of fresh air, and something I was thankful for. ANTS CLR Profiler The ANTS CLR profiler is the thing I want to focus on the most in this post, so I am going to dive right in now. Install was simple and took no time at all.  It installed both the profiler for the CLR and Memory, but also visual studio extensions to facilitate the usage of the profilers (click any images for full size images): The Visual Studio menu options (under ANTS menu) Starting the CLR Performance Profiler from the start menu yields this window If you follow the instructions after launching the program from the start menu (Click File > New Profiling Session to start a new project), you are given a dialog with plenty of options for profiling: The New Session dialog.  Lots of options.  One thing I noticed is that the buttons in the lower right were half-covered by the panel of the application.  If I had to guess, I would imagine that this is caused by my DPI settings being set to 125%.  This is a problem I have seen in other applications as well that don’t scale well to different dpi scales. The profiler options give you the ability to profile: .NET Executable ASP.NET web application (hosted in IIS) ASP.NET web application (hosted in IIS express) ASP.NET web application (hosted in Cassini Web Development Server) SharePoint web application (hosted in IIS) Silverlight 4+ application Windows Service COM+ server XBAP (local XAML browser application) Attach to an already running .NET 4 process Choosing each option provides a varying set of other variables/options that one can set including options such as application arguments, operating path, record I/O performance performance counters to record (43 counters in all!), etc…  All in all, they give you the ability to profile many different .Net project types, and make it simple to do so.  In most cases of my using this application, I would be using the built in Visual Studio extensions, as they automatically start a new profiling project in ANTS with the options setup, and start your program, however RedGate has made it easy enough to profile outside of Visual Studio as well. On the flip side of this, as someone who lives most of their work life in Visual Studio, one thing I do wish is that instead of opening an entirely separate application/gui to perform profiling after launching, that instead they would provide a Visual Studio panel with the information, and integrate more of the profiling project information into Visual Studio.  So, now that we have an idea of what options that the profiler gives us, its time to test its abilities and features. Horrendous Example Code – Prime Number Generator One of my interests besides development, is Physics and Math – what I went to college for.  I have especially always been interested in prime numbers, as they are something of a mystery…  So, I decided that I would go ahead and to test the abilities of the profiler, I would write a small program, website, and library to generate prime numbers in the quantity that you ask for.  I am going to start off with some terrible code, and show how I would see the profiler being used as a development tool. First off, the IPrimes interface (all code is downloadable at the end of the post): interface IPrimes { IEnumerable<int> GetPrimes(int retrieve); } Simple enough, right?  Anything that implements the interface will (hopefully) provide an IEnumerable of int, with the quantity specified in the parameter argument.  Next, I am going to implement this interface in the most basic way: public class DumbPrimes : IPrimes { public IEnumerable<int> GetPrimes(int retrieve) { //store a list of primes already found var _foundPrimes = new List<int>() { 2, 3 }; //if i ask for 1 or two primes, return what asked for if (retrieve <= _foundPrimes.Count()) return _foundPrimes.Take(retrieve); //the next number to look at int _analyzing = 4; //since I already determined I don't have enough //execute at least once, and until quantity is sufficed do { //assume prime until otherwise determined bool isPrime = true; //start dividing at 2 //divide until number is reached, or determined not prime for (int i = 2; i < _analyzing && isPrime; i++) { //if (i) goes into _analyzing without a remainder, //_analyzing is NOT prime if (_analyzing % i == 0) isPrime = false; } //if it is prime, add to found list if (isPrime) _foundPrimes.Add(_analyzing); //increment number to analyze next _analyzing++; } while (_foundPrimes.Count() < retrieve); return _foundPrimes; } } This is the simplest way to get primes in my opinion.  Checking each number by the straight definition of a prime – is it divisible by anything besides 1 and itself. I have included this code in a base class library for my solution, as I am going to use it to demonstrate a couple of features of ANTS.  This class library is consumed by a simple non-MVVM WPF application, and a simple MVC4 website.  I will not post the WPF code here inline, as it is simply an ObservableCollection<int>, a label, two textbox’s, and a button. Starting a new Profiling Session So, in Visual Studio, I have just completed my first stint developing the GUI and DumbPrimes IPrimes class, so now I want to check my codes efficiency by profiling it.  All I have to do is build the solution (surprised initiating a profiling session doesn’t do this, but I suppose I can understand it), and then click the ANTS menu, followed by Profile Performance.  I am then greeted by the profiler starting up and already monitoring my program live: You are provided with a realtime graph at the top, and a pane at the bottom giving you information on how to proceed.  I am going to start by asking my program to show me the first 15000 primes: After the program finally began responding again (I did all the work on the main UI thread – how bad!), I stopped the profiler, which did kill the process of my program too.  One important thing to note, is that the profiler by default wants to give you a lot of detail about the operation – line hit counts, time per line, percent time per line, etc…  The important thing to remember is that this itself takes a lot of time.  When running my program without the profiler attached, it can generate the 15000 primes in 5.18 seconds, compared to 74.5 seconds – almost a 1500 percent increase.  While this may seem like a lot, remember that there is a trade off.  It may be WAY more inefficient, however, I am able to drill down and make improvements to specific problem areas, and then decrease execution time all around. Analyzing the Profiling Session After clicking ‘Stop Profiling’, the process running my application stopped, and the entire execution time was automatically selected by ANTS, and the results shown below: Now there are a number of interesting things going on here, I am going to cover each in a section of its own: Real Time Performance Counter Bar (top of screen) At the top of the screen, is the real time performance bar.  As your application is running, this will constantly update with the currently selected performance counters status.  A couple of cool things to note are the fact that you can drag a selection around specific time periods to drill down the detail views in the lower 2 panels to information pertaining to only that period. After selecting a time period, you can bookmark a section and name it, so that it is easy to find later, or after reloaded at a later time.  You can also zoom in, out, or fit the graph to the space provided – useful for drilling down. It may be hard to see, but at the top of the processor time graph below the time ticks, but above the red usage graph, there is a green bar. This bar shows at what times a method that is selected in the ‘Call tree’ panel is called. Very cool to be able to click on a method and see at what times it made an impact. As I said before, ANTS provides 43 different performance counters you can hook into.  Click the arrow next to the Performance tab at the top will allow you to change between different counters if you have them selected: Method Call Tree, ADO.Net Database Calls, File IO – Detail Panel Red Gate really hit the mark here I think. When you select a section of the run with the graph, the call tree populates to fill a hierarchical tree of method calls, with information regarding each of the methods.   By default, methods are hidden where the source is not provided (framework type code), however, Red Gate has integrated Reflector into ANTS, so even if you don’t have source for something, you can select a method and get the source if you want.  Methods are also hidden where the impact is seen as insignificant – methods that are only executed for 1% of the time of the overall calling methods time; in other words, working on making them better is not where your efforts should be focused. – Smart! Source Panel – Detail Panel The source panel is where you can see line level information on your code, showing the code for the currently selected method from the Method Call Tree.  If the code is not available, Reflector takes care of it and shows the code anyways! As you can notice, there does seem to be a problem with how ANTS determines what line is the actual line that a call is completed on.  I have suspicions that this may be due to some of the inline code optimizations that the CLR applies upon compilation of the assembly.  In a method with comments, the problem is much more severe: As you can see here, apparently the most offending code in my base library was a comment – *gasp*!  Removing the comments does help quite a bit, however I hope that Red Gate works on their counter algorithm soon to improve the logic on positioning for statistics: I did a small test just to demonstrate the lines are correct without comments. For me, it isn’t a deal breaker, as I can usually determine the correct placements by looking at the application code in the region and determining what makes sense, but it is something that would probably build up some irritation with time. Feature – Suggest Method for Optimization A neat feature to really help those in need of a pointer, is the menu option under tools to automatically suggest methods to optimize/improve: Nice feature – clicking it filters the call tree and stars methods that it thinks are good candidates for optimization.  I do wish that they would have made it more visible for those of use who aren’t great on sight: Process Integration I do think that this could have a place in my process.  After experimenting with the profiler, I do think it would be a great benefit to do some development, testing, and then after all the bugs are worked out, use the profiler to check on things to make sure nothing seems like it is hogging more than its fair share.  For example, with this program, I would have developed it, ran it, tested it – it works, but slowly. After looking at the profiler, and seeing the massive amount of time spent in 1 method, I might go ahead and try to re-implement IPrimes (I actually would probably rewrite the offending code, but so that I can distribute both sets of code easily, I’m just going to make another implementation of IPrimes).  Using two pieces of knowledge about prime numbers can make this method MUCH more efficient – prime numbers fall into two buckets 6k+/-1 , and a number is prime if it is not divisible by any other primes before it: public class SmartPrimes : IPrimes { public IEnumerable<int> GetPrimes(int retrieve) { //store a list of primes already found var _foundPrimes = new List<int>() { 2, 3 }; //if i ask for 1 or two primes, return what asked for if (retrieve <= _foundPrimes.Count()) return _foundPrimes.Take(retrieve); //the next number to look at int _k = 1; //since I already determined I don't have enough //execute at least once, and until quantity is sufficed do { //assume prime until otherwise determined bool isPrime = true; int potentialPrime; //analyze 6k-1 //assign the value to potential potentialPrime = 6 * _k - 1; //if there are any primes that divise this, it is NOT a prime number //using PLINQ for quick boost isPrime = !_foundPrimes.AsParallel() .Any(prime => potentialPrime % prime == 0); //if it is prime, add to found list if (isPrime) _foundPrimes.Add(potentialPrime); if (_foundPrimes.Count() == retrieve) break; //analyze 6k+1 //assign the value to potential potentialPrime = 6 * _k + 1; //if there are any primes that divise this, it is NOT a prime number //using PLINQ for quick boost isPrime = !_foundPrimes.AsParallel() .Any(prime => potentialPrime % prime == 0); //if it is prime, add to found list if (isPrime) _foundPrimes.Add(potentialPrime); //increment k to analyze next _k++; } while (_foundPrimes.Count() < retrieve); return _foundPrimes; } } Now there are definitely more things I can do to help make this more efficient, but for the scope of this example, I think this is fine (but still hideous)! Profiling this now yields a happy surprise 27 seconds to generate the 15000 primes with the profiler attached, and only 1.43 seconds without.  One important thing I wanted to call out though was the performance graph now: Notice anything odd?  The %Processor time is above 100%.  This is because there is now more than 1 core in the operation.  A better label for the chart in my mind would have been %Core time, but to each their own. Another odd thing I noticed was that the profiler seemed to be spot on this time in my DumbPrimes class with line details in source, even with comments..  Odd. Profiling Web Applications The last thing that I wanted to cover, that means a lot to me as a web developer, is the great amount of work that Red Gate put into the profiler when profiling web applications.  In my solution, I have a simple MVC4 application setup with 1 page, a single input form, that will output prime values as my WPF app did.  Launching the profiler from Visual Studio as before, nothing is really different in the profiler window, however I did receive a UAC prompt for a Red Gate helper app to integrate with the web server without notification. After requesting 500, 1000, 2000, and 5000 primes, and looking at the profiler session, things are slightly different from before: As you can see, there are 4 spikes of activity in the processor time graph, but there is also something new in the call tree: That’s right – ANTS will actually group method calls by get/post operations, so it is easier to find out what action/page is giving the largest problems…  Pretty cool in my mind! Overview Overall, I think that Red Gate ANTS CLR Profiler has a lot to offer, however I think it also has a long ways to go.  3 Biggest Pros: Ability to easily drill down from time graph, to method calls, to source code Wide variety of counters to choose from when profiling your application Excellent integration/grouping of methods being called from web applications by request – BRILLIANT! 3 Biggest Cons: Issue regarding line details in source view Nit pick – Processor time vs. Core time Nit pick – Lack of full integration with Visual Studio Ratings Ease of Use (7/10) – I marked down here because of the problems with the line level details and the extra work that that entails, and the lack of better integration with Visual Studio. Effectiveness (10/10) – I believe that the profiler does EXACTLY what it purports to do.  Especially with its large variety of performance counters, a definite plus! Features (9/10) – Besides the real time performance monitoring, and the drill downs that I’ve shown here, ANTS also has great integration with ADO.Net, with the ability to show database queries run by your application in the profiler.  This, with the line level details, the web request grouping, reflector integration, and various options to customize your profiling session I think create a great set of features! Customer Service (10/10) – My entire experience with Red Gate personnel has been nothing but good.  their people are friendly, helpful, and happy! UI / UX (8/10) – The interface is very easy to get around, and all of the options are easy to find.  With a little bit of poking around, you’ll be optimizing Hello World in no time flat! Overall (8/10) – Overall, I am happy with the Performance Profiler and its features, as well as with the service I received when working with the Red Gate personnel.  I WOULD recommend you trying the application and seeing if it would fit into your process, BUT, remember there are still some kinks in it to hopefully be worked out. My next post will definitely be shorter (hopefully), but thank you for reading up to here, or skipping ahead!  Please, if you do try the product, drop me a message and let me know what you think!  I would love to hear any opinions you may have on the product. Code Feel free to download the code I used above – download via DropBox

    Read the article

  • Speed-start your Linux App: Using DB2 and the DB2 Control Center

    This article guides you through setting up and using IBM DB2 7.2 with the Command Line Processor. You'll also learn to use the graphical Control Center, which helps you explore and control your databases, and the graphical Command Center, which helps you generate SQL queries. Other topics covered include Java runtime environment setup, useful Linux utility functions, and bash profile customization.

    Read the article

  • Storage Configuration

    - by jchang
    Storage performance is not inherently complicated subject. The concepts are relatively simple. In fact, scaling storage performance is far easier compared with the difficulties encounters in scaling processor performance in NUMA systems. Storage performance is achieved by properly distributing IO over: 1) multiple independent PCI-E ports (system memory and IO bandwith is key) 2) multiple RAID controllers or host bus adapters (HBAs) 3) multiple storage IO channels (SAS or FC, complete path) most importantly,...(read more)

    Read the article

  • Don’t miss the Receiving Webcast on November 20th

    - by user793553
    This one-hour session is recommended for technical and functional users who are interested to know about the Receiving transactions and its debugging techniques. TOPICS WILL INCLUDE: Using generic diagnostic scripts. How to read debug logs in receiving. Data flow for various document types (PO, RMA, ISO, IOT) to help debug issues Receiving Transaction processor Generic datafixes.  See DocID 1456150.1 to sign up now!

    Read the article

  • Game Boy Generates Music In An Unexpected Way [Video]

    - by Jason Fitzpatrick
    When we saw a link about a Game Boy generated melody we assumed it was a chip-tune track generated by the Game Boy’s sound processor. We were pleasantly surprised to see the Game Boy itself was the instrument. [via Geeks Are Sexy] Reader Request: How To Repair Blurry Photos HTG Explains: What Can You Find in an Email Header? The How-To Geek Guide to Getting Started with TrueCrypt

    Read the article

  • Storage Configuration

    - by jchang
    Storage performance is not inherently complicated subject. The concepts are relatively simple. In fact, scaling storage performance is far easier compared with the difficulties encounters in scaling processor performance in NUMA systems. Storage performance is achieved by properly distributing IO over: 1) multiple independent PCI-E ports (system memory and IO bandwith is key) 2) multiple RAID controllers or host bus adapters (HBAs) 3) multiple storage IO channels (SAS or FC, complete path) most importantly,...(read more)

    Read the article

  • Thread placement policies on NUMA systems - update

    - by Dave
    In a prior blog entry I noted that Solaris used a "maximum dispersal" placement policy to assign nascent threads to their initial processors. The general idea is that threads should be placed as far away from each other as possible in the resource topology in order to reduce resource contention between concurrently running threads. This policy assumes that resource contention -- pipelines, memory channel contention, destructive interference in the shared caches, etc -- will likely outweigh (a) any potential communication benefits we might achieve by packing our threads more densely onto a subset of the NUMA nodes, and (b) benefits of NUMA affinity between memory allocated by one thread and accessed by other threads. We want our threads spread widely over the system and not packed together. Conceptually, when placing a new thread, the kernel picks the least loaded node NUMA node (the node with lowest aggregate load average), and then the least loaded core on that node, etc. Furthermore, the kernel places threads onto resources -- sockets, cores, pipelines, etc -- without regard to the thread's process membership. That is, initial placement is process-agnostic. Keep reading, though. This description is incorrect. On Solaris 10 on a SPARC T5440 with 4 x T2+ NUMA nodes, if the system is otherwise unloaded and we launch a process that creates 20 compute-bound concurrent threads, then typically we'll see a perfect balance with 5 threads on each node. We see similar behavior on an 8-node x86 x4800 system, where each node has 8 cores and each core is 2-way hyperthreaded. So far so good; this behavior seems in agreement with the policy I described in the 1st paragraph. I recently tried the same experiment on a 4-node T4-4 running Solaris 11. Both the T5440 and T4-4 are 4-node systems that expose 256 logical thread contexts. To my surprise, all 20 threads were placed onto just one NUMA node while the other 3 nodes remained completely idle. I checked the usual suspects such as processor sets inadvertently left around by colleagues, processors left offline, and power management policies, but the system was configured normally. I then launched multiple concurrent instances of the process, and, interestingly, all the threads from the 1st process landed on one node, all the threads from the 2nd process landed on another node, and so on. This happened even if I interleaved thread creating between the processes, so I was relatively sure the effect didn't related to thread creation time, but rather that placement was a function of process membership. I this point I consulted the Solaris sources and talked with folks in the Solaris group. The new Solaris 11 behavior is intentional. The kernel is no longer using a simple maximum dispersal policy, and thread placement is process membership-aware. Now, even if other nodes are completely unloaded, the kernel will still try to pack new threads onto the home lgroup (socket) of the primordial thread until the load average of that node reaches 50%, after which it will pick the next least loaded node as the process's new favorite node for placement. On the T4-4 we have 64 logical thread contexts (strands) per socket (lgroup), so if we launch 48 concurrent threads we will find 32 placed on one node and 16 on some other node. If we launch 64 threads we'll find 32 and 32. That means we can end up with our threads clustered on a small subset of the nodes in a way that's quite different that what we've seen on Solaris 10. So we have a policy that allows process-aware packing but reverts to spreading threads onto other nodes if a node becomes too saturated. It turns out this policy was enabled in Solaris 10, but certain bugs suppressed the mixed packing/spreading behavior. There are configuration variables in /etc/system that allow us to dial the affinity between nascent threads and their primordial thread up and down: see lgrp_expand_proc_thresh, specifically. In the OpenSolaris source code the key routine is mpo_update_tunables(). This method reads the /etc/system variables and sets up some global variables that will subsequently be used by the dispatcher, which calls lgrp_choose() in lgrp.c to place nascent threads. Lgrp_expand_proc_thresh controls how loaded an lgroup must be before we'll consider homing a process's threads to another lgroup. Tune this value lower to have it spread your process's threads out more. To recap, the 'new' policy is as follows. Threads from the same process are packed onto a subset of the strands of a socket (50% for T-series). Once that socket reaches the 50% threshold the kernel then picks another preferred socket for that process. Threads from unrelated processes are spread across sockets. More precisely, different processes may have different preferred sockets (lgroups). Beware that I've simplified and elided details for the purposes of explication. The truth is in the code. Remarks: It's worth noting that initial thread placement is just that. If there's a gross imbalance between the load on different nodes then the kernel will migrate threads to achieve a better and more even distribution over the set of available nodes. Once a thread runs and gains some affinity for a node, however, it becomes "stickier" under the assumption that the thread has residual cache residency on that node, and that memory allocated by that thread resides on that node given the default "first-touch" page-level NUMA allocation policy. Exactly how the various policies interact and which have precedence under what circumstances could the topic of a future blog entry. The scheduler is work-conserving. The x4800 mentioned above is an interesting system. Each of the 8 sockets houses an Intel 7500-series processor. Each processor has 3 coherent QPI links and the system is arranged as a glueless 8-socket twisted ladder "mobius" topology. Nodes are either 1 or 2 hops distant over the QPI links. As an aside the mapping of logical CPUIDs to physical resources is rather interesting on Solaris/x4800. On SPARC/Solaris the CPUID layout is strictly geographic, with the highest order bits identifying the socket, the next lower bits identifying the core within that socket, following by the pipeline (if present) and finally the logical thread context ("strand") on the core. But on Solaris on the x4800 the CPUID layout is as follows. [6:6] identifies the hyperthread on a core; bits [5:3] identify the socket, or package in Intel terminology; bits [2:0] identify the core within a socket. Such low-level details should be of interest only if you're binding threads -- a bad idea, the kernel typically handles placement best -- or if you're writing NUMA-aware code that's aware of the ambient placement and makes decisions accordingly. Solaris introduced the so-called critical-threads mechanism, which is expressed by putting a thread into the FX scheduling class at priority 60. The critical-threads mechanism applies to placement on cores, not on sockets, however. That is, it's an intra-socket policy, not an inter-socket policy. Solaris 11 introduces the Power Aware Dispatcher (PAD) which packs threads instead of spreading them out in an attempt to be able to keep sockets or cores at lower power levels. Maximum dispersal may be good for performance but is anathema to power management. PAD is off by default, but power management polices constitute yet another confounding factor with respect to scheduling and dispatching. If your threads communicate heavily -- one thread reads cache lines last written by some other thread -- then the new dense packing policy may improve performance by reducing traffic on the coherent interconnect. On the other hand if your threads in your process communicate rarely, then it's possible the new packing policy might result on contention on shared computing resources. Unfortunately there's no simple litmus test that says whether packing or spreading is optimal in a given situation. The answer varies by system load, application, number of threads, and platform hardware characteristics. Currently we don't have the necessary tools and sensoria to decide at runtime, so we're reduced to an empirical approach where we run trials and try to decide on a placement policy. The situation is quite frustrating. Relatedly, it's often hard to determine just the right level of concurrency to optimize throughput. (Understanding constructive vs destructive interference in the shared caches would be a good start. We could augment the lines with a small tag field indicating which strand last installed or accessed a line. Given that, we could augment the CPU with performance counters for misses where a thread evicts a line it installed vs misses where a thread displaces a line installed by some other thread.)

    Read the article

  • SQL University: Parallelism Week - Part 3, Settings and Options

    - by Adam Machanic
    Congratulations! You've made it back for the the third and final installment of Parallelism Week here at SQL University . So far we've covered the fundamentals of multitasking vs. parallel processing and delved into how parallel query plans actually work . Today we'll take a look at the settings and options that influence intra-query parallelism and discuss how best to set things up in various situations. Instance-Level Configuration Your database server probably has more than one logical processor....(read more)

    Read the article

  • CodePlex Daily Summary for Wednesday, May 19, 2010

    CodePlex Daily Summary for Wednesday, May 19, 2010New Projects3FD - Framework For Fast Development: This is a C++ framework that provides a solid error handling structure, garbage collection, multi-threading and portability between compilers. The ...ali test project: test projectAttribute Builder: The Attribute Builder builds an attribute from a lambda expression because it can.BDK0008: it is a food lovers websitecgdigest: cg digest template for non-profit orgCokmez: Bilmuh cokmez duyuru sistemiDot Game: It is a dot game that our Bangladeshi people used to play at their childhood time and their last time when they are poor for working.ESRI Javascript .NET Integration: Visual Studio project that shows how to integrate the Esri Javascript API with .NET Exchange 2010 RBAC Editor (RBAC GUI): Exchange 2010 RBAC Editor (RBAC GUI) Developed in C# and using Powershell behind the scenes RBAC tool to simplfy RBAC administrationFile Validator (Validador de Archivos): Componente que permite realizar la validación de archivos (txt, imagenes, PDF, etc) actualmente solo tiene implementado la parte de los txt, permit...Grip 09 Lab4: GripjPageFlipper: This is a wonderful implementation of page flipper entirely based on HTML 5 <canvas> tag. It means that it can work in any browser that supports HT...Main project: Index bird families and associated species. Malware Analysis and Can Handler: MACH is a tool to organize and catalog your malware analysis canned responses, and to track the topic response lifecycle for forum experts.Perf Web: Performance team web sitePiPiBugNet: PiPiBugNet是一套全新的开源Bug管理系统。 PiPiBugNet代码基于ASP.NET 2.0平台开发,编程语言为C#。 PiPiBugNet界面基于Ext JS设计,提供了极佳的用户体验。RemoteDesktop: integrated remote console, desktop and chat utilityRuneScape emulation done right.: RuneScape emulator.Sandkasten: SandkastenSilverlight Metro Theme: Metro Theme for Silverlight.Silverlight Stereoscopy: Stereoscopy with Silverlight.Twitivia: Twitivia is an online trivia service that runs through twitter and is being used as an example set of projects. C#, MVC, Windows Services, Linq ...XPool: A simple school project.New ReleasesDot Game: 'Dot Game' first release: Dot Game first release This is the 'Dot Game' first release.DotNetNuke® Store: 02.01.35: What's New in this release? Bugs corrected: - Fixed a resource for the header in the Category list of the Store Admin module. - Added several test...ESRI Javascript .NET Integration: Map search results in a DataView: Visual Studio 2010 example showing how to pass Map results back to ASP.NET for use in a DataView.Exchange 2010 RBAC Editor (RBAC GUI): RBAC Editor: This binary is still beta (0.0.9.1) but in most case it's very stableExtending C# editor - Outlining, classification: first revision: a couple of bug has been eliminated, performance improvementFloe IRC Client: Floe IRC Client 2010-05 R6: Corrected bug where text would be unexpectedly copied to the clipboard.Floe IRC Client: Floe IRC Client 2010-05 R7: - Fixed bug where text would show up in a query window with someone if they said something on a channel that you are both present on.Free Silverlight & WPF Chart Control - Visifire: Visifire SL and WPF Charts v3.0.9 GA released: Hi, Today we have released the final version of Visifire v3.0.9 which contains the following enhancements: * Two new properties ActualAxisMin...Free Silverlight & WPF Chart Control - Visifire: Visifire SL and WPF Charts v3.5.2 GA Released: Hi, Today we have released the final version of Visifire v3.5.2 which contains the following enhancements: Two new properties ActualAxisMinimum a...HB Batch Encoder Mk 2: HB Batch Encoder Mk2 v1.02: Added .mov support.jPageFlipper: jPageFlipper 0.9: This is an initial community preview of jPageFlipper. It's not ready for production usage but has almost all functionality implemented.linq.js - LINQ for JavaScript: ver 2.1.0.0: Add Class Dictionary Lookup Grouping OrderedEnumerable Add Method ToDictionary MemoizeAll Share Let Add Overload ...Microsoft Research Biology Extension for Excel: MSR Biology Extension for Excel - M9: M9 Release includes the following updates to the previous release: > Import / Export support from Excel for multiple file formats > Bug fixes and ...Nifty CSharp Tools: Event Watcher: Event Watcher!Paint.NET Bulk Image Processor: Paint.NET Bulk Image Processor v1.0: This is the initial release of the Paint.NET Bulk Image processor plugin. All feedback is welcome.PiPiBugNet: PiPiBugNet架构设计: PiPiBugNet架构设计,未包含功能实现RuneScape emulation done right.: rc0: Release cantidate 0.Rx Contrib: V1.6: Adding CCR queue as adapter for the ReactiveQueue credits goes to Yuval Mazor http://blogs.microsoft.co.il/blogs/yuvmaz/Silverlight Metro Theme: Silverlight Metro Theme Alpha 1: Silverlight Metro Theme Alpha 1Silverlight Stereoscopy: Silverlight Stereoscopy Alpha 1: Silverlight Stereoscopy Alpha 20100518Stratosphere: Stratosphere 1.0.6.0: Introduced support for batch put Introduced Support for conditional updates and consistent read Added support for select conditions Brought t...VCC: Latest build, v2.1.30518.0: Automatic drop of latest buildVideo Downloader: Example Program - 1.1: Example Program showing the features of the DLL and what can be achieved using it. For DLL Version 1.1.Video Downloader: Version 1.1: Version 1.1 See Home Page for usage and more information regarding new features. Please remember changes at You-Tube can prevent this software from...WatchersNET.TagCloud: WatchersNET.TagCloud 01.06.00: Whats New New Tag Mode: Show Tags from Ventrian.com NewsArticles Module New Tag Mode: Show Tags from Ventrian.com SimpleGallery Module Hyperlin...Windows Double Explorer: WDE v0.4: -optimization -switch to new vst2010 -viewer close now by pressing escape -reorder tabs -send selected fullname or shortnames via email (eye button...Most Popular ProjectsRawrWBFS ManagerAJAX Control ToolkitMicrosoft SQL Server Product Samples: DatabaseSilverlight ToolkitWindows Presentation Foundation (WPF)patterns & practices – Enterprise LibraryMicrosoft SQL Server Community & SamplesPHPExcelASP.NETMost Active Projectspatterns & practices – Enterprise LibraryRawrPHPExcelGMap.NET - Great Maps for Windows Forms & PresentationCustomer Portal Accelerator for Microsoft Dynamics CRMBlogEngine.NETWindows Azure Command-line Tools for PHP DevelopersCassiniDev - Cassini 3.5/4.0 Developers EditionSQL Server PowerShell ExtensionsFluent Ribbon Control Suite

    Read the article

  • Ubuntu turns off instead of suspend / sleeping

    - by Marcos
    I'm using Ubuntu 11.10 on my notebook as the main OS. How ever, I've been facing a serious problem: Every time I try to suspend it, or it just stays idle for a while, the computer shuts down, instead of suspending. It actually seems to be suspended, but when I press the button the awake it, it turns on, the open works are all lost. How can i fix this? P.s: On windows 7 the suspend / sleep resumes just fine. Here is a complete list of hardware: 00:00.0 Host bridge [0600]: Intel Corporation 2nd Generation Core Processor Family DRAM Controller [8086:0104] (rev 09) 00:02.0 VGA compatible controller [0300]: Intel Corporation 2nd Generation Core Processor Family Integrated Graphics Controller [8086:0116] (rev 09) 00:16.0 Communication controller [0780]: Intel Corporation 6 Series/C200 Series Chipset Family MEI Controller #1 [8086:1c3a] (rev 04) 00:1a.0 USB Controller [0c03]: Intel Corporation 6 Series/C200 Series Chipset Family USB Enhanced Host Controller #2 [8086:1c2d] (rev 04) 00:1b.0 Audio device [0403]: Intel Corporation 6 Series/C200 Series Chipset Family High Definition Audio Controller [8086:1c20] (rev 04) 00:1c.0 PCI bridge [0604]: Intel Corporation 6 Series/C200 Series Chipset Family PCI Express Root Port 1 [8086:1c10] (rev b4) 00:1c.1 PCI bridge [0604]: Intel Corporation 6 Series/C200 Series Chipset Family PCI Express Root Port 2 [8086:1c12] (rev b4) 00:1c.2 PCI bridge [0604]: Intel Corporation 6 Series/C200 Series Chipset Family PCI Express Root Port 3 [8086:1c14] (rev b4) 00:1d.0 USB Controller [0c03]: Intel Corporation 6 Series/C200 Series Chipset Family USB Enhanced Host Controller #1 [8086:1c26] (rev 04) 00:1f.0 ISA bridge [0601]: Intel Corporation HM65 Express Chipset Family LPC Controller [8086:1c49] (rev 04) 00:1f.2 SATA controller [0106]: Intel Corporation 6 Series/C200 Series Chipset Family 6 port SATA AHCI Controller [8086:1c03] (rev 04) 00:1f.3 SMBus [0c05]: Intel Corporation 6 Series/C200 Series Chipset Family SMBus Controller [8086:1c22] (rev 04) 01:00.0 Network controller [0280]: Realtek Semiconductor Co., Ltd. RTL8188CE 802.11b/g/n WiFi Adapter [10ec:8176] (rev 01) 02:00.0 System peripheral [0880]: JMicron Technology Corp. SD/MMC Host Controller [197b:2382] (rev 80) 02:00.2 SD Host controller [0805]: JMicron Technology Corp. Standard SD Host Controller [197b:2381] (rev 80) 02:00.3 System peripheral [0880]: JMicron Technology Corp. MS Host Controller [197b:2383] (rev 80) 02:00.5 Ethernet controller [0200]: JMicron Technology Corp. JMC250 PCI Express Gigabit Ethernet Controller [197b:0250] (rev 03) I've updated the kernel to 3.2 still and hibernate or suspend is still not working. SWAP is 1/4 of my RAM.

    Read the article

  • ASP.Net 4.5 Garbage Collection Improvement

    - by Aligned
    Originally posted on: http://geekswithblogs.net/Aligned/archive/2013/06/24/asp.net-4.5-garbage-collection-improvement.aspxI just read Five Great .NET Framework 4.5 Features on CodeProject by Shivprasad koirala. Feature 5 in his article mentions the GC background cleanup and has a good explanation of the work the GC has to do for ASP.Net on the server. “Garbage collector is one real heavy task in a .NET application. And it becomes heavier when it is an ASP.NET application. ASP.NET applications run on the server and a lot of clients send requests to the server thus creating loads of objects, making the GC really work hard for cleaning up unwanted objects.” “To overcome the above problem, server GC was introduced. In server GC there is one more thread created which runs in the background. This thread works in the background and keeps cleaning…objects thus minimizing the load on the main GC thread. Due to double GC threads running, the main application threads are less suspended, thus increasing application throughput. To enable server GC, we need to use the gcServer XML tag and enable it to true.” <configuration> <runtime> <gcServer enabled="true"/> </runtime> </configuration> This is not done by default. The MSDN information page says “There are only two garbage collection options, workstation or server. For single-processor computers, the default workstation garbage collection should be the fastest option. Either workstation or server can be used for two-processor computers. Server garbage collection should be the fastest option for more than two processors. Use the GCSettingsIsServerGC property to determine if server garbage collection is enabled.” “In the .NET Framework 4 and earlier versions, concurrent garbage collection is not available when server garbage collection is enabled. Starting with the .NET Framework 4.5, server garbage collection is concurrent. To use non-concurrent server garbage collection, set the <gcServer> element to true and the <gcConcurrent> element to false. “ So if you’re using ASP.Net 4.5 and have a multi-core server, you should try turning on the Server Garbage Collection and do some profiling to see if it improves the performance of your site.

    Read the article

< Previous Page | 93 94 95 96 97 98 99 100 101 102 103 104  | Next Page >