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  • Sudden and frequent hangs on desktop computer: mobo or CPU fault?

    - by djechelon
    I have a desktop computer equipped with an ASUS Crosshair 2 Formula and a Phenom x6 3.2GHz CPU. My problem is that often the computer will hang all of a sudden, completely stopping responding. When that occurs, reset key is inoperative and power button turns the computer off but is unable to turn it back on. I have to physically disconnect power cable. The problem can occur anytime, when I'm booting Windows, when I'm logging in, when I'm listening to a song, when I'm browsing Internet, etc. It always occurs after very few minutes of 3D gameplay I thought it was a video card fault. I had 3 8800GTX so I could try all combinations of them: didn't fix I thought it was a RAM problem: I tried running with only a subset of my DDR2 banks but didn't fix. Almost every time I have to reset and reconfigure BIOS (without AHCI, Win7 won't boot, so I need to restore a few things). If I enable AMD Live, Cool&Quiet or other things from CPU configuration menu I'll be sure that the computer won't reach Windows desktop in 99% of cases (it randomly hangs somewhere in the boot process or even in the BIOS POST). Another interesting thing is that during the POST process the computer always takes unusually long time detecting USB devices (LCD POSTer shows USB INIT), and I've also tried disconnecting all USB devices but didn't take less time to POST BIOS revision is 2702, the latest. Today I found a different behaviour once: during boot screen I got a BSOD with error Stop 0x00000101 A clock interrupt was not received on a secondary processor within the allocated time interval, and this is usually related to overclocking, but I never overclocked my CPU. Judging from the description of my problem, hoping someone had the same and fixed, and since I don't have a spare CPU or motherboard for replacement, I'd like to ask if you think this is a problem with faulty CPU or faulty motherboard, and if I can perform additional tests (I mean software tests because of my lack of spare components) to identify the component to replace.

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  • How to limit my CPU power programmatically on Windows 7?

    - by Ivan
    Whenever I run a CPU-heavy activity (like compressing a big set of files into an archive for example) my CPU switches to its full throttle (maximum frequency) and shuts down of overheat in less than a minute. Instead, I would like it to keep slowed-down slightly to do the task a bit slower but be able to reach the finish. At the same time I don't want to dim my screen brightness or adjust anything else what standard Windows power-saving system does. So how do I actually set a cap to limit my CPU power? The CPU is Core 2 Duo T7250, the OS is Windows 7 32-bit, there seem to be no BIOS settings or jumpers available to configure the frequencies.

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  • Setting up multiple cores for apache solr for Ubuntu 12.04 and Drupal 7

    - by chrisjlee
    I'm setting up solr locally for my development purposes and integration with Drupal 7. I'm not very familiar with tomcat. My background has primarily been LAMP setups. So I went and installed the package provided by ubuntu for apache solr following this guide. sudo apt-get install tomcat6 tomcat6-admin tomcat6-common tomcat6-user tomcat6-docs tomcat6-examples sudo apt-get install solr-tomcat I've got that working. The apt-get package manager does a great job and allows me to setup solr but with one core. What steps need to be taken to enable multi core setup for apache solr? And below is my solr.xml file: sudo nano /var/lib/tomcat6/conf/Catalina/localhost/solr.xml <!-- Context configuration file for the Solr Web App --> <Context path="/solr" docBase="/usr/share/solr" debug="0" privileged="true" allowLinking="true" crossContext="true"> <!-- make symlinks work in Tomcat --> <Resources className="org.apache.naming.resources.FileDirContext" allowLinking="true" /> <Environment name="solr/home" type="java.lang.String" value="/usr/share/solr" override="true" /> </Context>

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  • Why does my iTunes use so much CPU time?

    - by bikesandcode
    I have a roughly 2 year old Macbook (10.5). I have iTunes 10. When iTunes is playing MP3s, I see CPU usage of the iTunes process in the system monitor ranging from 65%-75%. When I pause the music, I see CPU usage of about 65%-75%. I do not have any visualisations going, to my knowledge I have not turned on any CPU destroying features, my music library isn't tiny, but it's hardly huge (3GB). This is mildly annoying when I'm plugged into the wall as I only have slightly longer compile times, but if I am out and about, this is a major drain on the battery. Using VLC I see CPU loads of ~= 10% at the most when listening to music and generally lower. What the heck is iTunes doing?

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  • Can an ESX server under heavy load cause cpu spikes on guest VM's?

    - by ReferentiallySeethru
    So we have a number of vm's running on an ESX 4.1 server for product testing. The ESX Server is at times under heavy load. We've been experiencing high CPU levels during some use cases, but we can't always duplicate this. If the ESX server as a whole is under heavy load could this cause guest machines to show high CPU usage? To ask it a different way, if the guest machines require more cpu resources than the server has, how does this affect CPU usage as indicated by the OS and process?

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  • 100% CPU in QuickTime H.264 decoder on Windows on Win7, except when using XP compat. mode

    - by user858518
    I have a Windows program that uses the Apple QuickTime API to play video. On Windows 7, CPU usage is 100% on one core, which I believe is why the playback is choppy. If I turn on XP compatibility mode for this program, the CPU usage is around 20% of one core, and playback is normal. Using a profiling tool called Very Sleepy (http://www.codersnotes.com/sleepy), I was able to narrow down the high CPU usage to a function in the QuickTime H.264 decoder called JVTCompComponentDispatch. I can't imagine why there would be a difference in CPU usage when XP compatibility mode is turned off or on. Any ideas?

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  • How to kill/restart automatically a specific Windows application if it begins taking 100% CPU?

    - by Esko Luontola
    I have one program running in the background (so I can use a remote controller with my PC) but every now and then the program crashes and begins using 100% CPU (I have quad-core, so it's 25% CPU usage). When that happens, the program needs to be killed and restarted. Is there a program for Windows, which can be used to detect automatically that a specific application hogs all the CPU, and would then automatically kill and restart that application?

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  • CPU Usage in Very Large Coherence Clusters

    - by jpurdy
    When sizing Coherence installations, one of the complicating factors is that these installations (by their very nature) tend to be application-specific, with some being large, memory-intensive caches, with others acting as I/O-intensive transaction-processing platforms, and still others performing CPU-intensive calculations across the data grid. Regardless of the primary resource requirements, Coherence sizing calculations are inherently empirical, in that there are so many permutations that a simple spreadsheet approach to sizing is rarely optimal (though it can provide a good starting estimate). So we typically recommend measuring actual resource usage (primarily CPU cycles, network bandwidth and memory) at a given load, and then extrapolating from those measurements. Of course there may be multiple types of load, and these may have varying degrees of correlation -- for example, an increased request rate may drive up the number of objects "pinned" in memory at any point, but the increase may be less than linear if those objects are naturally shared by concurrent requests. But for most reasonably-designed applications, a linear resource model will be reasonably accurate for most levels of scale. However, at extreme scale, sizing becomes a bit more complicated as certain cluster management operations -- while very infrequent -- become increasingly critical. This is because certain operations do not naturally tend to scale out. In a small cluster, sizing is primarily driven by the request rate, required cache size, or other application-driven metrics. In larger clusters (e.g. those with hundreds of cluster members), certain infrastructure tasks become intensive, in particular those related to members joining and leaving the cluster, such as introducing new cluster members to the rest of the cluster, or publishing the location of partitions during rebalancing. These tasks have a strong tendency to require all updates to be routed via a single member for the sake of cluster stability and data integrity. Fortunately that member is dynamically assigned in Coherence, so it is not a single point of failure, but it may still become a single point of bottleneck (until the cluster finishes its reconfiguration, at which point this member will have a similar load to the rest of the members). The most common cause of scaling issues in large clusters is disabling multicast (by configuring well-known addresses, aka WKA). This obviously impacts network usage, but it also has a large impact on CPU usage, primarily since the senior member must directly communicate certain messages with every other cluster member, and this communication requires significant CPU time. In particular, the need to notify the rest of the cluster about membership changes and corresponding partition reassignments adds stress to the senior member. Given that portions of the network stack may tend to be single-threaded (both in Coherence and the underlying OS), this may be even more problematic on servers with poor single-threaded performance. As a result of this, some extremely large clusters may be configured with a smaller number of partitions than ideal. This results in the size of each partition being increased. When a cache server fails, the other servers will use their fractional backups to recover the state of that server (and take over responsibility for their backed-up portion of that state). The finest granularity of this recovery is a single partition, and the single service thread can not accept new requests during this recovery. Ordinarily, recovery is practically instantaneous (it is roughly equivalent to the time required to iterate over a set of backup backing map entries and move them to the primary backing map in the same JVM). But certain factors can increase this duration drastically (to several seconds): large partitions, sufficiently slow single-threaded CPU performance, many or expensive indexes to rebuild, etc. The solution of course is to mitigate each of those factors but in many cases this may be challenging. Larger clusters also lead to the temptation to place more load on the available hardware resources, spreading CPU resources thin. As an example, while we've long been aware of how garbage collection can cause significant pauses, it usually isn't viewed as a major consumer of CPU (in terms of overall system throughput). Typically, the use of a concurrent collector allows greater responsiveness by minimizing pause times, at the cost of reducing system throughput. However, at a recent engagement, we were forced to turn off the concurrent collector and use a traditional parallel "stop the world" collector to reduce CPU usage to an acceptable level. In summary, there are some less obvious factors that may result in excessive CPU consumption in a larger cluster, so it is even more critical to test at full scale, even though allocating sufficient hardware may often be much more difficult for these large clusters.

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  • How can I judge the suitability of modern processors for systems with specific CPU requirements?

    - by Iszi
    Inspired by this question: How do I calculate clock speed in multi-core processors? The answers in the above question do a fair job of explaining why a lower-speed multi-core processor won't necessarily perform at the same level as a higher-speed single-core processor. Example: 4*2=8, but a quad-core 2 GHz processor isn't necessarily as fast as a single-core 8 GHz processor. However, I'm having a hard time putting the information in those answers to practical use in my mind. Particularly, I want to know how it should be used to judge whether a given CPU is appropriate for an application with specific requirements. Example scenarios: An application has a minimum CPU requirement of 2.4 GHz dual-core. Another application has a minimum CPU requirement of 1.8 GHz single-core. For either of the above scenarios: Would a higher-speed processor with fewer cores, or a lower-speed processor with more cores, be equally sufficient? If so, how can we determine the appropriate processor speeds required for a given number of cores?

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  • debugging JBoss 100% CPU usage

    - by NateS
    Originally posted on Server Fault, where it was suggested this question might better asked here. We are using JBoss to run two of our WARs. One is our web app, the other is our web service. The web app accesses a database on another machine and makes requests to the web service. The web service makes JMS requests to other machines, aggregates the data, and returns it. At our biggest client, about once a month the JBoss Java process takes 100% of all CPUs. The machine running JBoss has 8 CPUs. Our web app is still accessible during this time, however pages take about 3 minutes to load. Restarting JBoss restores everything to normal. The database machine and all the other machines are fine, only the machine running JBoss is affected. Memory usage is normal. Network utilization is normal. There are no suspect error messages in the JBoss logs. I have set up a test environment as close as possible to the client's production environment and I've done load testing with as much as 2x the number of concurrent users. I have not gotten my test environment to replicate the problem. Where do we go from here? How can we narrow down the problem? Currently the only plan we have is to wait until the problem occurs in production on its own, then do some debugging to determine the cause. So far people have just restarted JBoss when the problem occurred to minimize down time. Next time it happens they will get a developer to take a look. The question is, next time it happens, what can be done to determine the cause? We could setup a separate JBoss instance on the same box and install the web app separately from the web service. This way when the problem next occurs we will know which WAR has the problem (assuming it is our code). This doesn't narrow it down much though. Should I enable JMX remote? This way the next time the problem occurs I can connect with VisualVM and see which threads are taking the CPU and what the hell they are doing. However, is there a significant down side to enabling JMX remote in a production environment? Is there another way to see what threads are eating the CPU and to get a stacktrace to see what they are doing? Any other ideas? Thanks!

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  • cpu floating operations cost

    - by wiso
    I'm interesting in the time cost on a modern desktop cpu of some floating point operations in order to optimize a mathematical evaluation. In particular I'm interested on the comparison between complex operations like exp, log and simple operation like +, *, /. I tried to search for these information, but I can't find a source.

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  • Determining CPU usage in WinCE

    - by Chris
    I want to be able to get the current % CPU usage in a C++ program running under Wince. I found this link that states where the source code is but I cannot find it in my platform builder installation - I expect this is because it isn't the Windows Automotive platform. Does anyone know where I can find this source code or (even better) know how I can get this information directly? i.e. what DLL / function calls to make etc.

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  • Virtual Machine Manager 2012 CPU Average

    - by Grant
    What exactly is the CPU Average field in VMM 2012 showing me? I'm running Server 2008 R2 with VMM 2012. My server has 2x16 core CPUs installed. An example virtual machine has 4 virtual processors, and shows 20% CPU usage. Is that: 20% of the entire system's available CPU power? 20% of 4 of the 32 core's CPU power? 20% of one core's CPU? (in which case it could go as high as 400%) Something else entirely? How can I tell how much of the entire system's CPU power is being used (all 32 cores)? Edit: Well, I can tell for sure it's not 20% of the entire system's CPU power - since the entire server's CPU averages add up to well over 100% right now.

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  • How do I balance program CPU reverse compatibility whist still being able to use cutting edge features?

    - by TheLQ
    As I learn more about C and C++ I'm starting to wonder: How can a compiler use newer features of processors without limiting it just to people with, for example, Intel Core i7's? Think about it: new processors come out every year with lots of new technologies. However you can't just only target them since a significant portion of the market will not upgrade to the latest and greatest processors for a long time. I'm more or less wondering how this is handled in general by C and C++ devs and compilers. Do compilers make code similar to if SSE is supported, do this using it, else do that using the slower way or do developers have to implement their algorithm twice, or what? More or less how do you release software that takes advantage of newer processor technologies while still keeping a low common denominator?

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  • How much processor speed and cores do I need for these tasks?

    - by ajay
    I am planning to buy a new laptop as I find my current one very slow. My question here is specifically related to RAM size and CPU power. I will mostly be doing development (not much games). I would be dabbling in distributed computing, multithreaded and data intensive parallelizable tasks on multi-cores. For e.g. I would want to be able to Concurrent programming in Scala/Java/Clojure etc. and be able to see parallelization. Furthermore, I would want the RAM to be enough. But from a developer machine standpoint, do you think 4GB RAM and 2.53GHz Dual Core processor would be enough. I'm basically looking at this model: http://store.apple.com/us/configure/MC118LL/A?mco=MTM3NDcyODk (link dead)

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