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  • How are benchmarks for multiple cores calculated?

    - by B Seven
    I found this site to compare CPU's. http://www.cpubenchmark.net/high_end_cpus.html What wasn't clear is how the benchmark for multiple core processors is calculated. If one CPU has 4 cores (such as Intel Core i7 which comes in 2, 4, and 6 core versions: http://en.wikipedia.org/wiki/Intel_Core_i7#Core_i7), does that mean that the benchmark should be double that of the version that has 2 cores (assuming the same clock frequency)?

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  • Doctrine lazy loading classes takes 100 ms?!

    - by ropstah
    I'm lazy loading my Doctrine classes in my website. Benchmarking has showed that Doctrine::loadModels('models') takes over 100 ms to complete! I have 118 tables in total, but still... setting attribute to conservative loading: Doctrine_Manager::getInstance()->setAttribute(Doctrine::ATTR_MODEL_LOADING, Doctrine::MODEL_LOADING_CONSERVATIVE); running the benchmark part: $CI->benchmark->mark('Doctrineload_start'); Doctrine::loadModels(APPPATH.'models'); $CI->benchmark->mark('Doctrineload_end'); And the result: Doctrineload 0.1085 (seconds) Is this 'normal'? 'context': Loading Time Base Classes 0.0233 Doctrineinit 0.0435 //doctrine_pi.php file, doctrine configuration + db account Doctrineload 0.1085 Masterpageset 0.0001 Userload 0.1208 //1 db query Masterpageaddcontent 0.1565 //1 db query, loading view with some <?=?> php parsing Masterpageshow 0.0203 //loading view Controller Execution Time ( Home / Index ) 0.3591 Total Execution Time 0.3826

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  • What a Performance! MySQL 5.5 and InnoDB 1.1 running on Oracle Linux

    - by zeynep.koch(at)oracle.com
    The MySQL performance team in Oracle has recently completed a series of benchmarks comparing Read / Write and Read-Only performance of MySQL 5.5 with the InnoDB and MyISAM storage engines. Compared to MyISAM, InnoDB delivered 35x higher throughput on the Read / Write test and 5x higher throughput on the Read-Only test, with 90% scalability across 36 CPU cores. A full analysis of results and MySQL configuration parameters are documented in a new whitepaperIn addition to the benchmark, the new whitepaper, also includes:- A discussion of the use-cases for each storage engine- Best practices for users considering the migration of existing applications from MyISAM to InnoDB- A summary of the performance and scalability enhancements introduced with MySQL 5.5 and InnoDB 1.1.The benchmark itself was based on Sysbench, running on AMD Opteron "Magny-Cours" processors, and Oracle Linux with the Unbreakable Enterprise Kernel You can learn more about MySQL 5.5 and InnoDB 1.1 from here and download it from here to test whether you witness performance gains in your real-world applications.  By Mat Keep

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  • SQL SERVER – PAGEIOLATCH_DT, PAGEIOLATCH_EX, PAGEIOLATCH_KP, PAGEIOLATCH_SH, PAGEIOLATCH_UP – Wait Type – Day 9 of 28

    - by pinaldave
    It is very easy to say that you replace your hardware as that is not up to the mark. In reality, it is very difficult to implement. It is really hard to convince an infrastructure team to change any hardware because they are not performing at their best. I had a nightmare related to this issue in a deal with an infrastructure team as I suggested that they replace their faulty hardware. This is because they were initially not accepting the fact that it is the fault of their hardware. But it is really easy to say “Trust me, I am correct”, while it is equally important that you put some logical reasoning along with this statement. PAGEIOLATCH_XX is such a kind of those wait stats that we would directly like to blame on the underlying subsystem. Of course, most of the time, it is correct – the underlying subsystem is usually the problem. From Book On-Line: PAGEIOLATCH_DT Occurs when a task is waiting on a latch for a buffer that is in an I/O request. The latch request is in Destroy mode. Long waits may indicate problems with the disk subsystem. PAGEIOLATCH_EX Occurs when a task is waiting on a latch for a buffer that is in an I/O request. The latch request is in Exclusive mode. Long waits may indicate problems with the disk subsystem. PAGEIOLATCH_KP Occurs when a task is waiting on a latch for a buffer that is in an I/O request. The latch request is in Keep mode. Long waits may indicate problems with the disk subsystem. PAGEIOLATCH_SH Occurs when a task is waiting on a latch for a buffer that is in an I/O request. The latch request is in Shared mode. Long waits may indicate problems with the disk subsystem. PAGEIOLATCH_UP Occurs when a task is waiting on a latch for a buffer that is in an I/O request. The latch request is in Update mode. Long waits may indicate problems with the disk subsystem. PAGEIOLATCH_XX Explanation: Simply put, this particular wait type occurs when any of the tasks is waiting for data from the disk to move to the buffer cache. ReducingPAGEIOLATCH_XX wait: Just like any other wait type, this is again a very challenging and interesting subject to resolve. Here are a few things you can experiment on: Improve your IO subsystem speed (read the first paragraph of this article, if you have not read it, I repeat that it is easy to say a step like this than to actually implement or do it). This type of wait stats can also happen due to memory pressure or any other memory issues. Putting aside the issue of a faulty IO subsystem, this wait type warrants proper analysis of the memory counters. If due to any reasons, the memory is not optimal and unable to receive the IO data. This situation can create this kind of wait type. Proper placing of files is very important. We should check file system for the proper placement of files – LDF and MDF on separate drive, TempDB on separate drive, hot spot tables on separate filegroup (and on separate disk), etc. Check the File Statistics and see if there is higher IO Read and IO Write Stall SQL SERVER – Get File Statistics Using fn_virtualfilestats. It is very possible that there are no proper indexes on the system and there are lots of table scans and heap scans. Creating proper index can reduce the IO bandwidth considerably. If SQL Server can use appropriate cover index instead of clustered index, it can significantly reduce lots of CPU, Memory and IO (considering cover index has much lesser columns than cluster table and all other it depends conditions). You can refer to the two articles’ links below previously written by me that talk about how to optimize indexes. Create Missing Indexes Drop Unused Indexes Updating statistics can help the Query Optimizer to render optimal plan, which can only be either directly or indirectly. I have seen that updating statistics with full scan (again, if your database is huge and you cannot do this – never mind!) can provide optimal information to SQL Server optimizer leading to efficient plan. Checking Memory Related Perfmon Counters SQLServer: Memory Manager\Memory Grants Pending (Consistent higher value than 0-2) SQLServer: Memory Manager\Memory Grants Outstanding (Consistent higher value, Benchmark) SQLServer: Buffer Manager\Buffer Hit Cache Ratio (Higher is better, greater than 90% for usually smooth running system) SQLServer: Buffer Manager\Page Life Expectancy (Consistent lower value than 300 seconds) Memory: Available Mbytes (Information only) Memory: Page Faults/sec (Benchmark only) Memory: Pages/sec (Benchmark only) Checking Disk Related Perfmon Counters Average Disk sec/Read (Consistent higher value than 4-8 millisecond is not good) Average Disk sec/Write (Consistent higher value than 4-8 millisecond is not good) Average Disk Read/Write Queue Length (Consistent higher value than benchmark is not good) Note: The information presented here is from my experience and there is no way that I claim it to be accurate. I suggest reading Book OnLine for further clarification. All of the discussions of Wait Stats in this blog is generic and varies from system to system. It is recommended that you test this on a development server before implementing it to a production server. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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  • SQL SERVER – LCK_M_XXX – Wait Type – Day 15 of 28

    - by pinaldave
    Locking is a mechanism used by the SQL Server Database Engine to synchronize access by multiple users to the same piece of data, at the same time. In simpler words, it maintains the integrity of data by protecting (or preventing) access to the database object. From Book On-Line: LCK_M_BU Occurs when a task is waiting to acquire a Bulk Update (BU) lock. LCK_M_IS Occurs when a task is waiting to acquire an Intent Shared (IS) lock. LCK_M_IU Occurs when a task is waiting to acquire an Intent Update (IU) lock. LCK_M_IX Occurs when a task is waiting to acquire an Intent Exclusive (IX) lock. LCK_M_S Occurs when a task is waiting to acquire a Shared lock. LCK_M_SCH_M Occurs when a task is waiting to acquire a Schema Modify lock. LCK_M_SCH_S Occurs when a task is waiting to acquire a Schema Share lock. LCK_M_SIU Occurs when a task is waiting to acquire a Shared With Intent Update lock. LCK_M_SIX Occurs when a task is waiting to acquire a Shared With Intent Exclusive lock. LCK_M_U Occurs when a task is waiting to acquire an Update lock. LCK_M_UIX Occurs when a task is waiting to acquire an Update With Intent Exclusive lock. LCK_M_X Occurs when a task is waiting to acquire an Exclusive lock. LCK_M_XXX Explanation: I think the explanation of this wait type is the simplest. When any task is waiting to acquire lock on any resource, this particular wait type occurs. The common reason for the task to be waiting to put lock on the resource is that the resource is already locked and some other operations may be going on within it. This wait also indicates that resources are not available or are occupied at the moment due to some reasons. There is a good chance that the waiting queries start to time out if this wait type is very high. Client application may degrade the performance as well. You can use various methods to find blocking queries: EXEC sp_who2 SQL SERVER – Quickest Way to Identify Blocking Query and Resolution – Dirty Solution DMV – sys.dm_tran_locks DMV – sys.dm_os_waiting_tasks Reducing LCK_M_XXX wait: Check the Explicit Transactions. If transactions are very long, this wait type can start building up because of other waiting transactions. Keep the transactions small. Serialization Isolation can build up this wait type. If that is an acceptable isolation for your business, this wait type may be natural. The default isolation of SQL Server is ‘Read Committed’. One of my clients has changed their isolation to “Read Uncommitted”. I strongly discourage the use of this because this will probably lead to having lots of dirty data in the database. Identify blocking queries mentioned using various methods described above, and then optimize them. Partition can be one of the options to consider because this will allow transactions to execute concurrently on different partitions. If there are runaway queries, use timeout. (Please discuss this solution with your database architect first as timeout can work against you). Check if there is no memory and IO-related issue using the following counters: Checking Memory Related Perfmon Counters SQLServer: Memory Manager\Memory Grants Pending (Consistent higher value than 0-2) SQLServer: Memory Manager\Memory Grants Outstanding (Consistent higher value, Benchmark) SQLServer: Buffer Manager\Buffer Hit Cache Ratio (Higher is better, greater than 90% for usually smooth running system) SQLServer: Buffer Manager\Page Life Expectancy (Consistent lower value than 300 seconds) Memory: Available Mbytes (Information only) Memory: Page Faults/sec (Benchmark only) Memory: Pages/sec (Benchmark only) Checking Disk Related Perfmon Counters Average Disk sec/Read (Consistent higher value than 4-8 millisecond is not good) Average Disk sec/Write (Consistent higher value than 4-8 millisecond is not good) Average Disk Read/Write Queue Length (Consistent higher value than benchmark is not good) Read all the post in the Wait Types and Queue series. Note: The information presented here is from my experience and there is no way that I claim it to be accurate. I suggest reading Book OnLine for further clarification. All the discussion of Wait Stats in this blog is generic and varies from system to system. It is recommended that you test this on a development server before implementing it to a production server. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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  • links for 2010-04-07

    - by Bob Rhubart
    James McGovern: Enterprise Architecture and Social CRM "With a few exceptions, the vast majority of enterprise architects I know spend an awful lot of time focused on internal issues whether it is rationalization, the cloud, storage governance, data center consolidation, creation of reference architectures, portfolio management and other considerations that aren’t even visible to customers. One should ask whether IT can be truly successful if we are busy listening to the business but otherwise are blissfully ignorant towards the customers they serve." -- James McGovern (tags: enterprisearchitecture crm socialcomputing) WRF Benchmark: X6275 Beats Power6 - BestPerf "Oracle's Sun Blade X6275 cluster is 28% faster than the IBM POWER6 cluster on Weather Research and Forecasting (WRF) continental United Status (CONUS) benchmark datasets. The Sun Blade X6275 cluster used a Quad Data Rate (QDR) InfiniBand connection along with Intel compilers and MPI." (tags: oracle sun x6275 benchmarks)

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  • Újabb Oracle TPC-H rekord 3 TB-on, a nem klaszterezett kategóriában

    - by Fekete Zoltán
    A TPC-H a döntéstámogatási, adattárházas, üzleti intelligencia rendszerek teljesítményét méri, www.tpc.org. Most a 3 TB-os méretben született új rekord a TPC-H teszten a non-clustered kategóriában az Oracle Database 11gR2-vel, Sun M9000 hardveren. „A nagy méretu rendszerekben elért TPC-H benchmark-rekordokkal az Oracle Database 11g továbbra is orzi vezeto helyét az adattárház-rendszerek között" - nyilatkozta Juan Loaiza, az Oracle rendszertechnológiáért felelos elso alelnöke. „Ez az eredmény bizonyítja, hogy az Oracle Database 11g és az Oracle Sun SPARC Enterprise M9000 kiszolgálója együttesen nagyteljesítményu alapot biztosít az ügyfelek adattárház-alkalmazásai számára." Az Oracle sajtóhír magyar nyelven: Az Oracle® Database 11g új világrekordot állított fel a Sun SPARC Enterprise M9000 kiszolgálón végzett három terabájtos fürtözés nélküli TPC-H sebességpróbán Az Oracle sajtóhír angol nyelven: Oracle® Database 11g Sets New World Record TPC-H Three Terabyte Non-Clustered Benchmark Result on Sun SPARC Enterprise M9000 Server

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  • 12.04 on Pentium Dual Core with 1GB or ram running slow

    - by Alex
    hey i have a Lenovo Thinkpad Laptop with Ubuntu 12.04 installed. It runs slow. I tried "System profiler and Benchmark" to test the computer. but the application quits and closes after the first few benchmark test. before it even gets to the other tests. So i tried "Hardinfo" that installed on the Puppy Linux live cd. that did the same thing (the apps look just a like). the memory usage isnt the problem on this pc. its the cpu processes. just running the "system profiler" app that comes with ubuntu uses about 34% on each core, default with nothing running its 5-10% on each core. i cant really find what the deal is other than that ubuntu is a cpu hog. so im testing unity2D at the moment to see how it goes. if you have any other suggestions, feel free to answer this question. thanks

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  • Benchmarks Using Oracle Solaris 11

    - by Brian
    The following is a list of links to recent benchmarks which used Oracle Solaris 11. Oracle TimesTen In-Memory Database Performance on SPARC T4-2 World Record Performance on PeopleSoft Enterprise Financials Benchmark on SPARC T4-2 SPARC T4 Servers Running Oracle Solaris 11 and Oracle RAC Deliver World Record on PeopleSoft HRMS 9.1 SPEC CPU2006 Results on Oracle's Sun x86 Servers SPARC T4-4 Beats 8-CPU IBM POWER7 on TPC-H @3000GB Benchmark SPARC T4-2 Delivers World Record SPECjvm2008 Result with Oracle Solaris 11 SPARC T4-2 Server Beats Intel (Westmere AES-NI) on ZFS Encryption Tests SPARC T4 Processor Beats Intel (Westmere AES-NI) on AES Encryption Tests SPARC T4 Processor Outperforms IBM POWER7 and Intel (Westmere AES-NI) on OpenSSL AES Encryption Test SPARC T4-1 Server Outperforms Intel (Westmere AES-NI) on IPsec Encryption Tests SPARC T4-2 Server Beats Intel (Westmere AES-NI) on SSL Network Tests SPARC T4-2 Server Beats Intel (Westmere AES-NI) on Oracle Database Tablespace Encryption Queries

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  • quad sli with gtx 690 not working

    - by Moaadh
    I have two cards GTX 690 (dual core). I did the Sli successfully. Nvidia control panel acknowledges the two cards as quad Sli. However, the problem is that Windows 7 64-bit Ultimate is showing me the graph memory size as 4 GB while it is supposed to be 8 GB because of the Sli. Also the benchmark from all software is giving me a very low score compared to some other guy's benchmark on YouTube. It gives me a big headache. Does anyone know why this is happening? If so, how can I get Windows 7 to recognize all 8 GB of memory? Thanks for your help in advance. My computer specifications: (Processor: Intel Core i7-3930k @3.2GHz(12CPUs))--- (Memory: 65536 MB Ram 1866 MHz)-- (OS: Windows 7 Ultimate 64-bit)-- (OCZ 240GB as SSD PCIe drive for booting and storage disk)-- (DirextX version: DirectX 11)-- (VGA Card: 2 X EVGA GTX 690 Dual GPU. Each GPU is 2 GB, so total memory should be 8 GB.)-- (MotherBoard: ASUS Rampage IV Extreme)-- Others with lesser specifications get a 2500 score in heaven benchmark while I get 1501 as if it is one card.

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  • Does Mac OS X throttle the RATE of socket creation?

    - by pbhogan
    This may seem programming related, but this is an OS question. I'm writing a small high performance daemon that takes thousands of connections per second. It's working fine on Linux (specifically Ubuntu 9.10 on EC2). On Mac OS X if I throw a few thousand connections at it (roughly about 16350) in a benchmark that simply opens a connection, does it's thing and closes the connection, then the benchmark program hangs for several seconds waiting for a socket to become available before continuing (or timing out in the process). I used both Apache Bench as well as Siege (to make sure it wasn't the benchmark application). So why/how is Mac OS X limiting the RATE at which sockets can be used, and can I stop it from doing this? Or is there something else going on? I know there is a file descriptor limit, but I'm not hitting that. There is no error on accepting a socket, it's simply hangs for a while after the first (roughly) 16000, waiting -- I assume -- for the OS to release a socket. This shouldn't happen since all prior the sockets are closed at that point. They're supposed to come available at the rate they're closed, and do on Ubuntu, but there seems to be some kind of multi (5-10?) second delay on Mac OS X. I tried tweaking with ulimit every-which-way. Nada.

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  • Does Mac OS X throttle the RATE of socket creation?

    - by pbhogan
    This may seem programming related, but this is an OS question. I'm writing a small high performance daemon that takes thousands of connections per second. It's working fine on Linux (specifically Ubuntu 9.10 on EC2). On Mac OS X if I throw a few thousand connections at it (roughly about 16350) in a benchmark that simply opens a connection, does it's thing and closes the connection, then the benchmark program hangs for several seconds waiting for a socket to become available before continuing (or timing out in the process). I used both Apache Bench as well as Siege (to make sure it wasn't the benchmark application). So why/how is Mac OS X limiting the RATE at which sockets can be used, and can I stop it from doing this? Or is there something else going on? I know there is a file descriptor limit, but I'm not hitting that. There is no error on accepting a socket, it's simply hangs for a while after the first (roughly) 16000, waiting -- I assume -- for the OS to release a socket. This shouldn't happen since all prior the sockets are closed at that point. They're supposed to come available at the rate they're closed, and do on Ubuntu, but there seems to be some kind of multi (5-10?) second delay on Mac OS X. I tried tweaking with ulimit every-which-way. Nada.

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  • Best way to say "sync all system clocks to this server, when and ONLY when I say so?" Mixed setup of Windows+Linux servers.

    - by twblamer
    Title pretty much explains it. Let's say there's 100 servers, various versions of Windows and Linux, and one Windows server is the "master clock." I did look at this question: How do I synchronize clocks between Linux and Windows? This hints that ntp can do what I want if I run "ntpd -q" on a client (?). If I install ntp I also need to guarantee that it will only sync the times when I force it to. Even better if I have a log that tells me every time a sync was performed. I'm doing benchmark runs and I need to be able to say something like this: "Clocks were synced on all the benchmark systems at 09:42:01am on the master. A benchmark run was then initiated and allowed to run for six hours. None of the system clocks were altered during this time interval." I understand there is subsequent clock drift, but for now that's the way we're doing things and I'm doing it with a manual process. I'd rather at least automate the one-time sync.

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  • Denormalization database

    - by Pedro Magalhaes
    I was taking a look at SSB (Star Schema Benchmark -http://www.percona.com/docs/wiki/_media/benchmark:ssb:starschemab.pdf) and then i was thinking if is possible to denormalize all tables from the SSB? So database size will increase a lot but potencially the performance will grow up. Is that right? Is It possible? Thanks and sorry for my poor english

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  • Flash10 Triangle Rendering

    - by anon
    I know about Papervision 3D. However, alot of the realism there comes from textures. Does anyone know of a benchmark that shows how many single-color, flash-shaded 3D triagnels flash10 can reasonably render? I can't find this benchmark online or an engine for this (most seems to really value bitmaps / texture). Thanks!

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  • Is LuaJIT really faster than every other JIT-ed dynamic languages?

    - by Gabriel Cuvillier
    According to the computer language benchmark game, the LuaJIT implementation seems to beat every other JIT-ed dynamic language (V8, Tracemonkey, PLT Scheme, Erlang HIPE) by an order of magnitude. I know that these benchmarks are not representative (as they say: "Which programming language implementations have the fastest benchmark programs?"), but this is still really impressive. In practice, is it really the case? Someone have tested that Lua implementation?

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  • Setuptools not passing arguments for entry_points

    - by Austin
    I'm using setuptools for a Python script I wrote After installing, I do: $ megazord -i input -d database -v xx-xx -w yy-yy Like I would if I was running it ./like_this However, I get: Traceback (most recent call last): File "/usr/local/bin/megazord", line 9, in <module> load_entry_point('megazord==1.0.0', 'console_scripts', 'megazord')() TypeError: main() takes exactly 1 argument (0 given) Which looks like setuptools is not sending my arguments to main() to be parsed (by optparse) Here's my setuptools config for entry_points: entry_points = { 'console_scripts': [ 'megazord = megazord.megazord:main', 'megazord-benchmark = megazord.benchmark:main', 'megazord-hash = megazord.mzhash:main', 'megazord-mutate = megazord.mutator:main', ] } Any ideas?

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  • Benchmarking Java programs

    - by stefan-ock
    For university, I perform bytecode modifications and analyze their influence on performance of Java programs. Therefore, I need Java programs---in best case used in production---and appropriate benchmarks. For instance, I already got HyperSQL and measure its performance by the benchmark program PolePosition. The Java programs running on a JVM without JIT compiler. Thanks for your help! P.S.: I cannot use programs to benchmark the performance of the JVM or of the Java language itself (such as Wide Finder).

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  • Sun's JVM instruction speed table

    - by Pindatjuh
    Is there a benchmark available how much relative time each instruction costs in a single-thread, average-case scenario (either with or without JIT compiler), for the JVM (any version) by Sun? If there is not a benchmark already available, how can I get this information? E.g.: TIME iload_1 1 iadd 12 getfield 40 etc. Where getfield is equivalent to 40 iload_1 instructions.

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  • How to Identify Which Hardware Component is Failing in Your Computer

    - by Chris Hoffman
    Concluding that your computer has a hardware problem is just the first step. If you’re dealing with a hardware issue and not a software issue, the next step is determining what hardware problem you’re actually dealing with. If you purchased a laptop or pre-built desktop PC and it’s still under warranty, you don’t need to care about this. Have the manufacturer fix the PC for you — figuring it out is their problem. If you’ve built your own PC or you want to fix a computer that’s out of warranty, this is something you’ll need to do on your own. Blue Screen 101: Search for the Error Message This may seem like obvious advice, but searching for information about a blue screen’s error message can help immensely. Most blue screens of death you’ll encounter on modern versions of Windows will likely be caused by hardware failures. The blue screen of death often displays information about the driver that crashed or the type of error it encountered. For example, let’s say you encounter a blue screen that identified “NV4_disp.dll” as the driver that caused the blue screen. A quick Google search will reveal that this is the driver for NVIDIA graphics cards, so you now have somewhere to start. It’s possible that your graphics card is failing if you encounter such an error message. Check Hard Drive SMART Status Hard drives have a built in S.M.A.R.T. (Self-Monitoring, Analysis, and Reporting Technology) feature. The idea is that the hard drive monitors itself and will notice if it starts to fail, providing you with some advance notice before the drive fails completely. This isn’t perfect, so your hard drive may fail even if SMART says everything is okay. If you see any sort of “SMART error” message, your hard drive is failing. You can use SMART analysis tools to view the SMART health status information your hard drives are reporting. Test Your RAM RAM failure can result in a variety of problems. If the computer writes data to RAM and the RAM returns different data because it’s malfunctioning, you may see application crashes, blue screens, and file system corruption. To test your memory and see if it’s working properly, use Windows’ built-in Memory Diagnostic tool. The Memory Diagnostic tool will write data to every sector of your RAM and read it back afterwards, ensuring that all your RAM is working properly. Check Heat Levels How hot is is inside your computer? Overheating can rsult in blue screens, crashes, and abrupt shut downs. Your computer may be overheating because you’re in a very hot location, it’s ventilated poorly, a fan has stopped inside your computer, or it’s full of dust. Your computer monitors its own internal temperatures and you can access this information. It’s generally available in your computer’s BIOS, but you can also view it with system information utilities such as SpeedFan or Speccy. Check your computer’s recommended temperature level and ensure it’s within the appropriate range. If your computer is overheating, you may see problems only when you’re doing something demanding, such as playing a game that stresses your CPU and graphics card. Be sure to keep an eye on how hot your computer gets when it performs these demanding tasks, not only when it’s idle. Stress Test Your CPU You can use a utility like Prime95 to stress test your CPU. Such a utility will fore your computer’s CPU to perform calculations without allowing it to rest, working it hard and generating heat. If your CPU is becoming too hot, you’ll start to see errors or system crashes. Overclockers use Prime95 to stress test their overclock settings — if Prime95 experiences errors, they throttle back on their overclocks to ensure the CPU runs cooler and more stable. It’s a good way to check if your CPU is stable under load. Stress Test Your Graphics Card Your graphics card can also be stress tested. For example, if your graphics driver crashes while playing games, the games themselves crash, or you see odd graphical corruption, you can run a graphics benchmark utility like 3DMark. The benchmark will stress your graphics card and, if it’s overheating or failing under load, you’ll see graphical problems, crashes, or blue screens while running the benchmark. If the benchmark seems to work fine but you have issues playing a certain game, it may just be a problem with that game. Swap it Out Not every hardware problem is easy to diagnose. If you have a bad motherboard or power supply, their problems may only manifest through occasional odd issues with other components. It’s hard to tell if these components are causing problems unless you replace them completely. Ultimately, the best way to determine whether a component is faulty is to swap it out. For example, if you think your graphics card may be causing your computer to blue screen, pull the graphics card out of your computer and swap in a new graphics card. If everything is working well, it’s likely that your previous graphics card was bad. This isn’t easy for people who don’t have boxes of components sitting around, but it’s the ideal way to troubleshoot. Troubleshooting is all about trial and error, and swapping components out allows you to pin down which component is actually causing the problem through a process of elimination. This isn’t a complete guide to everything that could likely go wrong and how to identify it — someone could write a full textbook on identifying failing components and still not cover everything. But the tips above should give you some places to start dealing with the more common problems. Image Credit: Justin Marty on Flickr     

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  • Why your Netapp is so slow...

    - by Darius Zanganeh
    Have you ever wondered why your Netapp FAS box is slow and doesn't perform well at large block workloads?  In this blog entry I will give you a little bit of information that will probably help you understand why it’s so slow, why you shouldn't use it for applications that read and write in large blocks like 64k, 128k, 256k ++ etc..  Of course since I work for Oracle at this time, I will show you why the ZS3 storage boxes are excellent choices for these types of workloads. Netapp’s Fundamental Problem The fundamental problem you have running these workloads on Netapp is the backend block size of their WAFL file system.  Every application block on a Netapp FAS ends up in a 4k chunk on a disk. Reference:  Netapp TR-3001 Whitepaper Netapp has proven this lacking large block performance fact in at least two different ways. They have NEVER posted an SPC-2 Benchmark yet they have posted SPC-1 and SPECSFS, both recently. In 2011 they purchased Engenio to try and fill this GAP in their portfolio. Block Size Matters So why does block size matter anyways?  Many applications use large block chunks of data especially in the Big Data movement.  Some examples are SAS Business Analytics, Microsoft SQL, Hadoop HDFS is even 64MB! Now let me boil this down for you.  If an application such MS SQL is writing data in a 64k chunk then before Netapp actually writes it on disk it will have to split it into 16 different 4k writes and 16 different disk IOPS.  When the application later goes to read that 64k chunk the Netapp will have to again do 16 different disk IOPS.  In comparison the ZS3 Storage Appliance can write in variable block sizes ranging from 512b to 1MB.  So if you put the same MSSQL database on a ZS3 you can set the specific LUNs for this database to 64k and then when you do an application read/write it requires only a single disk IO.  That is 16x faster!  But, back to the problem with your Netapp, you will VERY quickly run out of disk IO and hit a wall.  Now all arrays will have some fancy pre fetch algorithm and some nice cache and maybe even flash based cache such as a PAM card in your Netapp but with large block workloads you will usually blow through the cache and still need significant disk IO.  Also because these datasets are usually very large and usually not dedupable they are usually not good candidates for an all flash system.  You can do some simple math in excel and very quickly you will see why it matters.  Here are a couple of READ examples using SAS and MSSQL.  Assume these are the READ IOPS the application needs even after all the fancy cache and algorithms.   Here is an example with 128k blocks.  Notice the numbers of drives on the Netapp! Here is an example with 64k blocks You can easily see that the Oracle ZS3 can do dramatically more work with dramatically less drives.  This doesn't even take into account that the ONTAP system will likely run out of CPU way before you get to these drive numbers so you be buying many more controllers.  So with all that said, lets look at the ZS3 and why you should consider it for any workload your running on Netapp today.  ZS3 World Record Price/Performance in the SPC-2 benchmark ZS3-2 is #1 in Price Performance $12.08ZS3-2 is #3 in Overall Performance 16,212 MBPS Note: The number one overall spot in the world is held by an AFA 33,477 MBPS but at a Price Performance of $29.79.  A customer could purchase 2 x ZS3-2 systems in the benchmark with relatively the same performance and walk away with $600,000 in their pocket.

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  • Why does ruby-debug say 'Saved frames may be incomplete'

    - by Chris McCauley
    From time-to-time I get this when a breakpoint is triggered. It looks like stack frames aren't getting saved so I can't step back through the call stack - a real pain. See below for an example --> #0 BatchProcess.add_failure_record(row_id#Fixnum, test#Struct::Test, message#String,...) at line server/processes/batch.rb:309 Warning: saved frames may be incomplete; compare with caller(0). (rdb:1) pp caller ["./server/processes/batch.rb:309:in `run_tests'", "./server/processes/common/generic_process.rb:219:in `each'", "./server/processes/common/generic_process.rb:219:in `run_tests'", "./server/processes/common/generic_process.rb:271:in `run_plan'", "./server/processes/common/corrections.rb:19:in `each_with_index'", "./server/processes/common/generic_process.rb:266:in `each'", "./server/processes/common/generic_process.rb:266:in `each_with_index'", "./server/processes/common/generic_process.rb:266:in `run_plan'", "./server/processes/batch.rb:202:in `run_engine'", "/usr/lib/ruby/1.8/benchmark.rb:293:in `measure'", "./server/processes/batch.rb:201:in `run_engine'", "./server/processes/common/generic_process.rb:88:in `run_dataset'", "./server/processes/batch.rb:210:in `run_dataset'", "/usr/lib/ruby/1.8/benchmark.rb:293:in `measure'", "./server/processes/batch.rb:209:in `run_dataset'", "./server/processes/common/generic_process.rb:159:in `run'", "./server/processes/common/generic_process.rb:158:in `each'", "./server/processes/common/generic_process.rb:158:in `run'", "./server/processes/batch.rb:350:in `run'", "/usr/lib/ruby/1.8/benchmark.rb:293:in `measure'", "./server/processes/batch.rb:349:in `run'", "server/processes/test_runs/run_tests.rb:55:in `run_one_process'", "server/processes/test_runs/run_tests.rb:81"] Any ideas on how to stop this happening?

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  • What's the largest (most complex) PHP algorithm ever implemented in a single monolithic PHP script?

    - by Alex R
    I'm working on a tool which converts PHP code to Scala. As one of the finishing touches, I'm in need of a really good (er, somewhat biased) benchmark. By dumb luck my first benchmark attempt was with some code which uses bcmath extensively, which unfortunately is 1000x slower in Java, making the Scala code 22x slower overall than the original PHP. So I'm looking for some meaningful PHP benchmark with the following characteristics: The source needs to be in a single file. I need it to be simple to setup - no databases, hard-to-find input files, etc. Simple text input and output preferred. It should not use features that are slow in Java (BigInteger, trigonometric functions, etc). It should not use exoteric or dynamic PHP functions (e.g. no "eval" or "variable vars"). It should not over-rely on built-in libraries, e.g. MD5, crypt, etc. It should not be I/O bound. A CPU-bound memory-hungry algorithm is preferred. Basically, intensive OO operations, integer and string manipulation, recursion, etc would be great. Thanks

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  • stress testing opencl/Ati GPU on 12.04

    - by lurscher
    What does people normally use to stress test their GPU on ubuntu 12.04? I tried installing Phoronix Benchmark suite ubuntu .deb but it tries to install freeglu3-dev and at the same time complains about $ phoronix-test-suite benchmark pts/opencl The following dependencies are needed and will be installed: freeglut3-dev This process may take several minutes. Reading package lists... Building dependency tree... Reading state information... freeglut3-dev is already the newest version. 0 upgraded, 0 newly installed, 0 to remove and 90 not upgraded. There are dependencies still missing from the system: - OpenGL Utility Kit / GLUT 1: Ignore missing dependencies and proceed with installation. 2: Skip installing the tests with missing dependencies. 3: Re-attempt to install the missing dependencies. 4: Quit the current Phoronix Test Suite process. Missing dependencies action: 4 so even if it is installing freeglu3, it still complains about missing GLUT. You can't win against GLUT it seems So, what does people use for this? i mean, really, because i have tried googling for an hour and it is not paying up Thanks!

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  • SATA 3 PCIe Controller working with decreased performance (slower than SATA 2)

    - by V M
    After reading this question about maxing out an SSD I decided to do so myself. My mobo only supports SATA 2 and has two PCIe 2.0 x1 connectors (which promiss up to 500 mb/s). So after some searching I decided to go with this controller from amazon. My Samsung magician benchmark before upgrade (running SATA 2): Now after installing the controller all of the benchmark scores are lower (even though the Samsung Magician app confirms its connected to a SATA 3 port): What can I do to remedy this? Any help is appreciated.

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