Search Results

Search found 2338 results on 94 pages for 'donut caching'.

Page 46/94 | < Previous Page | 42 43 44 45 46 47 48 49 50 51 52 53  | Next Page >

  • lowering the use of the memory controller in OpenCL based applications

    - by user827992
    With my first experiments I noticed that OpenCL is a good technology but often hampered by the X86 architecture and finding a mid-range VGA driven by a low-end chipset is not that unusual in the real world scenarios, sometimes this can happen with some high-end VGA too. Are there some caching techniques? Something that can bypass this inconvenience in some ways. The amount of dedicated memory on today's VGA is usually high, it's possible to use this memory to create some kind of buffer with instructions.

    Read the article

  • Slicing the EDG

    - by Antony Reynolds
    Different SOA Domain Configurations In this blog entry I would like to introduce three different configurations for a SOA environment.  I have omitted load balancers and OTD/OHS as they introduce a whole new round of discussion.  For each possible deployment architecture I have identified some of the advantages. Super Domain This is a single EDG style domain for everything needed for SOA/OSB.   It extends the standard EDG slightly but otherwise assumes a single “super” domain. This is basically the SOA EDG.  I have broken out JMS servers and Coherence servers to improve scalability and reduce dependencies. Key Points Separate JMS allows those servers to be kept up separately from rest of SOA Domain, allowing JMS clients to post messages even if rest of domain is unavailable. JMS servers are only used to host application specific JMS destinations, SOA/OSB JMS destinations remain in relevant SOA/OSB managed servers. Separate Coherence servers allow OSB cache to be offloaded from OSB servers. Use of Coherence by other components as a shared infrastructure data grid service. Coherence cluster may be managed by WLS but more likely run as a standalone Coherence cluster. Benefits Single Administration Point (1 Admin Server) Closely follows EDG with addition of application specific JMS servers and standalone Coherence servers for OSB caching and application specific caches. Coherence grid can be scaled independent of OSB/SOA. JMS queues provide for inter-application communication. Drawbacks Patching is an all or nothing affair. Startup time for SOA may be slow if large number of composites deployed. Multiple Domains This extends the EDG into multiple domains, allowing separate management and update of these domains.  I see this type of configuration quite often with customers, although some don't have OWSM, others don't have separate Coherence etc. SOA & BAM are kept in the same domain as little benefit is obtained by separating them. Key Points Separate JMS allows those servers to be kept up separately from rest of SOA Domain, allowing JMS clients to post messages even if other domains are unavailable. JMS servers are only used to host application specific JMS destinations, SOA/OSB JMS destinations remain in relevant SOA/OSB managed servers. Separate Coherence servers allow OSB cache to be offloaded from OSB servers. Use of Coherence by other components as a shared infrastructure data grid service. Coherence cluster may be managed by WLS but more likely run as a standalone Coherence cluster. Benefits Follows EDG but in separate domains and with addition of application specific JMS servers and standalone Coherence servers for OSB caching and application specific caches. Coherence grid can be scaled independent of OSB/SOA. JMS queues provide for inter-application communication. Patch lifecycle of OSB/SOA/JMS are no longer lock stepped. JMS may be kept running independently of other domains allowing applications to insert messages fro later consumption by SOA/OSB. OSB may be kept running independent of other domains, allowing service virtualization to continue independent of other domains availability. All domains use same OWSM policy store (MDS-WSM). Drawbacks Multiple domains to manage and configure. Multiple Admin servers (single view requires use of Grid Control) Multiple Admin servers/WSM clusters waste resources. Additional homes needed to enjoy benefits of separate patching. Cross domain trust needs setting up to simplify cross domain interactions. Startup time for SOA may be slow if large number of composites deployed. Shared Service Environment This model extends the previous multiple domain arrangement to provide a true shared service environment.This extends the previous model by allowing multiple additional SOA domains and/or other domains to take advantage of the shared services.  Only one non-shared domain is shown, but there could be multiple, allowing groups of applications to share patching independent of other application groups. Key Points Separate JMS allows those servers to be kept up separately from rest of SOA Domain, allowing JMS clients to post messages even if other domains are unavailable. JMS servers are only used to host application specific JMS destinations, SOA/OSB JMS destinations remain in relevant SOA/OSB managed servers. Separate Coherence servers allow OSB cache to be offloaded from OSB servers. Use of Coherence by other components as a shared infrastructure data grid service Coherence cluster may be managed by WLS but more likely run as a standalone Coherence cluster. Shared SOA Domain hosts Human Workflow Tasks BAM Common "utility" composites Single OSB domain provides "Enterprise Service Bus" All domains use same OWSM policy store (MDS-WSM) Benefits Follows EDG but in separate domains and with addition of application specific JMS servers and standalone Coherence servers for OSB caching and application specific caches. Coherence grid can be scaled independent of OSB/SOA. JMS queues provide for inter-application communication. Patch lifecycle of OSB/SOA/JMS are no longer lock stepped. JMS may be kept running independently of other domains allowing applications to insert messages fro later consumption by SOA/OSB. OSB may be kept running independent of other domains, allowing service virtualization to continue independent of other domains availability. All domains use same OWSM policy store (MDS-WSM). Supports large numbers of deployed composites in multiple domains. Single URL for Human Workflow end users. Single URL for BAM end users. Drawbacks Multiple domains to manage and configure. Multiple Admin servers (single view requires use of Grid Control) Multiple Admin servers/WSM clusters waste resources. Additional homes needed to enjoy benefits of separate patching. Cross domain trust needs setting up to simplify cross domain interactions. Human Workflow needs to be specially configured to point to shared services domain. Summary The alternatives in this blog allow for patching to have different impacts, depending on the model chosen.  Each organization must decide the tradeoffs for itself.  One extreme is to go for the shared services model and have one domain per SOA application.  This requires a lot of administration of the multiple domains.  The other extreme is to have a single super domain.  This makes the entire enterprise susceptible to an outage at the same time due to patching or other domain level changes.  Hopefully this blog will help your organization choose the right model for you.

    Read the article

  • WebFoundations

    - by csharp-source.net
    A simple, SEO Friendly, C#, ASP.NET, XML Content Management System (CMS) These 'WebFoundations' are a great starting block when developing an ASP.NET CMS. Features: * A WYSIWYG editor (FCKEditor) * Content caching (No IO overhead) * Multi language support (can be set on querystring or dropdown) * Search engine friendly URL's (url rewriting) * Easily themable (Build on ASP.Net Master Pages) * An image gallery control (it consumes XML Picasa exports) Web Foundation sites can be hosted on inexpensive hosting as there is NO Database requirement (all the data is stored in XML files).

    Read the article

  • GlynnTucker.Cache

    - by csharp-source.net
    The GlynnTucker.Cache assembly provides a data structure for caching slow data retrievals, for example data retrieved from a database server over the network. Think of it as a Hashtable that can automatically expire its data after a set amount of time or a specified period of inactivity, on a per-object basis. It is written in C# and dual licensed under the GPL/MPL, it should work with any .NET language.

    Read the article

  • StarterSTS v1.5 Beta 1

    - by Your DisplayName here!
    I just uploaded a new drop of StarterSTS. This release has many changes and new features, e.g.: Built-in support for Windows Azure Caching New REST endpoint Federated Sign-Out Extended tracing (including real time tracing to a WCF service and logging of RST(R)s and tokens) I will drill deeper into the new features in the forthcoming blog posts. Please try it out and give me feedback.

    Read the article

  • Facebook: Releasing Flashcache

    <b>Facebook:</b> "We built Flashcache to help us scale InnoDB/MySQL, but it was designed as a generic caching module that can be used with any application built on top of any block device."

    Read the article

  • Combres 2.0 - A Library for ASP.NET Website Optimization

    .NET library which enables combination, minification, compression, and caching of JavaScript and CSS resources for ASP.NET Web Forms and ASP.NET MVC web applications....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

  • Chapter 5: From 2005 to 2010: Business Logic and Data

    After reading this chapter, you will be able to Use the Entity Framework (EF) to build a data access layer using an existing database or with the Model-First approach .Generate entity types from the Entity Data Model (EDM) Designer using the ADO.NET Entity Framework POCO templates. Get data from Web services Learn about data caching using the Microsoft Windows Server AppFabric (formerly known by the codename “Velocity”)

    Read the article

  • Automatically minify and combine JavaScript and CSS files in any web site

    This article describes a complete package that speeds up loading of JavaScript, CSS, and images in an ASP.NET web site. It accomplishes this by minifying JavaScript and CSS files on the fly (and caching the minified content), combining JavaScript and CSS files, making it easy to load files from cookieless domains, and much more. This article has full step by step installation instructions for both IIS 7 and IIS 6 (each version requires different additions to web.config). It will also detail how to use all the features, complete with short examples.

    Read the article

  • Does OO, TDD, and Refactoring to Smaller Functions affect Speed of Code?

    - by Dennis
    In Computer Science field, I have noticed a notable shift in thinking when it comes to programming. The advice as it stands now is write smaller, more testable code refactor existing code into smaller and smaller chunks of code until most of your methods/functions are just a few lines long write functions that only do one thing (which makes them smaller again) This is a change compared to the "old" or "bad" code practices where you have methods spanning 2500 lines, and big classes doing everything. My question is this: when it call comes down to machine code, to 1s and 0s, to assembly instructions, should I be at all concerned that my class-separated code with variety of small-to-tiny functions generates too much extra overhead? While I am not exactly familiar with how OO code and function calls are handled in ASM in the end, I do have some idea. I assume that each extra function call, object call, or include call (in some languages), generate an extra set of instructions, thereby increasing code's volume and adding various overhead, without adding actual "useful" code. I also imagine that good optimizations can be done to ASM before it is actually ran on the hardware, but that optimization can only do so much too. Hence, my question -- how much overhead (in space and speed) does well-separated code (split up across hundreds of files, classes, and methods) actually introduce compared to having "one big method that contains everything", due to this overhead? UPDATE for clarity: I am assuming that adding more and more functions and more and more objects and classes in a code will result in more and more parameter passing between smaller code pieces. It was said somewhere (quote TBD) that up to 70% of all code is made up of ASM's MOV instruction - loading CPU registers with proper variables, not the actual computation being done. In my case, you load up CPU's time with PUSH/POP instructions to provide linkage and parameter passing between various pieces of code. The smaller you make your pieces of code, the more overhead "linkage" is required. I am concerned that this linkage adds to software bloat and slow-down and I am wondering if I should be concerned about this, and how much, if any at all, because current and future generations of programmers who are building software for the next century, will have to live with and consume software built using these practices. UPDATE: Multiple files I am writing new code now that is slowly replacing old code. In particular I've noted that one of the old classes was a ~3000 line file (as mentioned earlier). Now it is becoming a set of 15-20 files located across various directories, including test files and not including PHP framework I am using to bind some things together. More files are coming as well. When it comes to disk I/O, loading multiple files is slower than loading one large file. Of course not all files are loaded, they are loaded as needed, and disk caching and memory caching options exist, and yet still I believe that loading multiple files takes more processing than loading a single file into memory. I am adding that to my concern.

    Read the article

  • JSR Updates

    - by heathervc
    JSR 349, Bean Validation 1.1, has published a Public Review. The review closes on 12 November. JSR 331, Constraint Programming API, has published a Maintenance Release. JSR 335, Lambda Expressions for the Java Programming Language, has moved to JCP 2.8!  Check out their java.net project. JSR 107, JCACHE - Java Temporary Caching API, has posted their Early Draft Release.  The review closes on 22 November.

    Read the article

  • SSDs at PASS 2012

    - by jchang
    There were 7 companies exhibiting SSD products as PASS this year, and one with a product to support SSD storage. This is not counting Dell, EMC and HP who have SSD products, but were at PASS for other reasons. This shows that many have aspirations with the hope that market leadership is not yet firmly set. The products fall into the following: PCI-E SSDs (Fusion-io, LSI, Virident) SSD SAN (Violin, TMS, Whiptail) SSD caching (LSI, GridIron) I am inclined to be of the opinion that SSD market is not...(read more)

    Read the article

  • What's special in July 26th and why is it used in examples for Expires header so often?

    - by zerkms
    I've noticed that July 26th (my birthday) is used really often in various examples related to preventing http caching using Expires header, like: http://stackoverflow.com/questions/12398714/cache-issue-with-private-networking-stream http://stackoverflow.com/questions/2833305/how-to-expire-page-in-php-when-user-logout http://expressionengine.com/archived_forums/viewthread/81945/ What's special in that date? PS: couldn't add conspiracy tag to the tags because of lack of rep points

    Read the article

  • FileCache for ASP.NET

     FileCache provides fast, file-based caching of any serializable object for both ASP.NET and non-web .NET applications. Article with complete free downloadable source code....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

  • Large virtual memory size of ElasticSearch JVM

    - by wfaulk
    I am running a JVM to support ElasticSearch. I am still working on sizing and tuning, so I left the JVM's max heap size at ElasticSearch's default of 1GB. After putting data in the database, I find that the JVM's process is showing 50GB in SIZE in top output. It appears that this is actually causing performance problems on the system; other processes are having trouble allocating memory. In asking the ElasticSearch community, they suggested that it's "just" filesystem caching. In my experience, filesystem caching doesn't show up as memory used by a particular process. Of course, they may have been talking about something other than the OS's filesystem cache, maybe something that the JVM or ElasticSearch itself is doing on top of the OS. But they also said that it would be released if needed, and that didn't seem to be happening. So can anyone help me figure out how to tune the JVM, or maybe ElasticSearch itself, to not use so much RAM. System is Solaris 10 x86 with 72GB RAM. JVM is "Java(TM) SE Runtime Environment (build 1.7.0_45-b18)".

    Read the article

  • Prestashop is not saving Memcached settings

    - by ianenri
    I have a issue with the admin site of prestashop. I'm trying to activate the caching system but it doesn't save the setting. When I add a server (I'm using an Amazon ElasticCache server) saves it, but when I select the enable option and click Save, it redirects me to "Back Office Preferences Performance" but with a blank page and the admin tabs visible. I go back to those settings again and i see that the caching option is disabled. Also, there is a warning: "To use Memcached, you must install the Memcache PECL extension on your server. http://www.php.net/manual/en/memcache.installation.php" , even if i already installed memcached via yum. I tried also, by modifying the settings.inc.php file editing define('_PS_CACHE_ENABLED_', '0'); to: define('_PS_CACHE_ENABLED_', '1'); But i get 500 Internal Server Error in every page, so i prefer to leave it as before. Any ideas? I'm using PrestaShop 1.4.6.2 with Nginx 1.0.11 and PHP-FPM 5.3.8 in a CentOS 5.7 system.

    Read the article

  • Expected IOPS for log writing on PS6000X SAN?

    - by dssz
    Customer is experiencing poor Sybase ASE 15 performance on a PS6000X SAN with 16 X 450GB 10K in RAID-50. The server is a Dell R710 running 2003 server R2 64bit in ESX 4.0.0,256968 I've used sqlio to benchmark the sequential write performance of 4KB blocks on the drive. sqlio -kW -t1 -s600 -dE -o1 -fsequential -b4 -BH -LS sqliotestfile.dat Result is 1900 IOPS. However, when Sybase is running a sustained workload of small inserts SAN HQ shows a consistent 590 IOPS (and 100% 4K write activity). It also shows that the write latency increases to 1.2ms from <1ms. Monitoring and tests in Sybase demonstrate the performance problem is IO related and in particular there is a lot of wait time writing to the log. The SAN indicates that write caching is enabled. What IOPS should the SAN be capable of for 4k sequential write activity? Also, with write caching enabled, shouldn't the controller be batching up the 4K writes into something more efficient? Also, any tips on Sybase on ESX would be appreciated.

    Read the article

  • Webserver optimization

    - by f-aminov
    Hi guys! I have a website hosted on a VPS (512Mb - minimum guranteed memory, 510Mhz proccessor, Debian 5.0 Lenny, Apache 2.2.9 with nginx 0.7.65 as a frontend to serve static content, MySQL 5.1.44, PHP 5.3.2 with APC caching). I'm a web developer, so I'm not very good at optimizing servers, but I've managed to install and setup all those neccessary components (LAMP, nginx, etc.). After that I decided to stress test my website (which uses Drupal 6.16 with caching and all possible optimization enabled) using a utility called "Webserver Stress Tool 7". And it seems to me that the results aren't any good - here is a graph (sorry, as a new user I'm not allowed to post images) As you can see the response time depending on amount of simultaneous users increases very quickly. With 10 simultaneous users the time is about 1000ms, with 100 simultaneous users it's about 15000ms (15s!). The question is do you think this is normal behavior for such a server or something is wrong with the settings and optimization? If you think something is wrong what particulary could be wrong? Any other suggestion how to speed this a little bit up?

    Read the article

  • performance wise htaccess

    - by purpler
    hese's the my htaccess template, i wonder if anything could be added to increase website performance.. # Defaults AddDefaultCharset UTF-8 DefaultLanguage en-US ServerSignature Off FileETag None Header unset ETag Options -MultiViews #Options All -Indexes # Force the latest IE version or ChromeFrame <IfModule mod_setenvif.c> <IfModule mod_headers.c> BrowserMatch MSIE ie Header set X-UA-Compatible "IE=Edge,chrome=1" env=ie </IfModule> </IfModule> # Proxy X-UA Setup <IfModule mod_headers.c> Header append Vary User-Agent </IfModule> #Rewrites Options +FollowSymlinks RewriteEngine On RewriteBase / # Redirect to non-WWW RewriteCond %{HTTPS} !=on RewriteCond %{HTTP_HOST} ^www\.(.+)$ [NC] RewriteRule ^(.*)$ http://%1/$1 [R=301,L] # Redirect to WWW RewriteCond %{HTTP_HOST} ^domain.com RewriteRule (.*) http://www.domain.com/$1 [R=301,L] # Redirect index to root RewriteRule ^(.*)index\.(php|html)$ /$1 [R=301,L] # Caching ExpiresActive On ExpiresDefault A0 Header set Cache-Control "public" # 1 Year Long Cache <FilesMatch "\.(flv|fla|ico|pdf|avi|mov|ppt|doc|mp3|wmv|wav|png|jpg|jpeg|gif|swf|js|css|ttf|eot|woff|svg|svgz)$"> ExpiresDefault A31622400 </FilesMatch> # Proxy Caching <FilesMatch "\.(css|js|png)$"> ExpiresDefault A31622400 Header set Cache-Control "private" </FilesMatch> # Protect against DOS attacks by limiting file upload size LimitRequestBody 10240000 # Proper SVG serving AddType image/svg+xml svg svgz AddEncoding gzip svgz # GZip Compression <IfModule mod_deflate.c> <FilesMatch "\.(php|html|css|js|xml|txt|ttf|otf|eot|svg)$" > SetOutputFilter DEFLATE </FilesMatch> </IfModule> # Error page ErrorDocument 404 /404.html # Deny access to sensitive files <FilesMatch "\.(htaccess|ini|log|psd)$"> Order Allow,Deny Deny from all </FilesMatch>

    Read the article

  • APC uptime 0 because of Fast

    - by demlasjr
    I have a VPS using Parallels/Plesk (11.0.9 Update #22, last updated at Oct 31, 2012 03:33 AM CentOS 6.3 (Final) x86_64) I have apache (CGI/FastCGI) installed and nginx as reverse proxy. Everything is working just fine. I installed APC for caching, but the issue is that the uptime is 0 always. It's restarting each 15 seconds or so. I checked everywhere and can't find a solution to fix it. The server have the grace restart enabled, but every 6 hours, which shouldn't influence the APC uptime. Searching in Google I found that this could be related to Apache, running with FCGId instead of FastCGI. Plesk/Apache is using this config file: usr/local/psa/admin/conf/templates/default/service/php_over_fastcgi.php which content is: <IfModule mod_fcgid.c> <Files ~ (\.php)> SetHandler fcgid-script FCGIWrapper <?php echo $VAR->server->webserver->apache->phpCgiBin ?> .p$ Options +ExecCGI allow from all </Files> Is here the issue or elsewhere ? How can I fix this to work with FastCGI and make APC working properly. I forgot to specify that even if the uptime is below one minute, APC is doing pretty good job caching (92% are hits).

    Read the article

< Previous Page | 42 43 44 45 46 47 48 49 50 51 52 53  | Next Page >