Search Results

Search found 12802 results on 513 pages for 'memory profiler'.

Page 18/513 | < Previous Page | 14 15 16 17 18 19 20 21 22 23 24 25  | Next Page >

• MySQL Memory Limit Windows Server 2003

  - by Matt

  I am running MySQL 5.0.51a on Windows Server 2003 Standard Edition on an HP DL580 G4 with 3GB installed. One of my database tables has grown to 5.3 GB with an index file of 2.5 GB, which I believe is causing MySQL to be slow due to having to constantly load and unload the index file when updates are made to the table. The server itself seems to be performing OK because MySQL is only using about 500MB of memory (there are other apps running on the system, but MySQL uses the most memory). The table is fairly active with new records getting adding all during day but no deletes, ever. The MySQL server has up to 600 connections allowed, but only small number (10 or 20) would actually be writing to this table. I increased the memory limits in MySQL but since the max connections is so high I don't think I can give each connection 1GB without risking a problem. Is there some tuning that would let just certain connections get a lot of memory? So I have started to look for alternatives to avert the crisis I know is coming soon. Some of the options I have: Upgrade to Server 2003 Enterprise to install 64GB of memory. Question: would 32 bit MySQL be able to access more than 2GB? Would that be 2GB per thread? That would still be smaller than the index table size so it might not solve the problem completely, but it would be better than now. Upgrade to Server 200x 64 bit and MySQL 64 bit. Switch to a *nix 64 bit server. If anybody has suggestions for things to do in the meantime, opinions on which way to go, or other things that I have overlooked I would appreciate the help. Thanks

  Read the article

• Why is my browser using so much memory?

  - by Steve

  Hi. I've recently had problems with Firefox running very slowly when I have many tabs open; say 20 tabs. My whole system would slow down. I decided to give Google Chrome a try, and it started out fine. But lately I am finding that it too, slows down my whole system. Looking at Task Manager, chrome.exe is using about 250MB of memory in about 6 different entries in task manager. However, when I shut Chrome down, memory usage is reduced by about 600MB. How can this be? (shows drop in memory usage after ending Chrome.) When my system locks up with Chrome having many tabs open, it takes 10 seconds to load the Start Menu, 10 seconds to expand All Programs, and each folder and subfolder, and 30 seconds for the program to be highlighted under my mouse. It also takes 10 seconds to switch to Notepad. Why is Chrome appearing to use so much more memory than Task Manager indicates? Why is my pagefile being used when I have around 1.1GB of memory? Can I set Chrome to run in RAM and not in the pagefile? How can 20 tabs use 600MB? That's 30MB per tab. Thanks for your help.

  Read the article

• How to change memory for DomU runtime

  - by saffron

  I have a xen server with xen-4.1.3, linux-image-3.2.0-3-amd64, debian squeeze and 16Gb of RAM. The domain-0 has 1Gb of ram, the rest of memory belongs to the hypervisor. I want to start a guest domain with a minimal amount of memory and increase it runtime later. When I start a guest domain with 256Mb of ram and run xm mem-set domu 4Gb, I get ~3Gb only in domu and a guest domain free says: root@test:~# free total used free shared buffers cached Mem: 2830620 72868 2757752 0 2432 43504 -/+ buffers/cache: 26932 2803688 Swap: 1048572 0 1048572 And a guest domain dmesg says: [ 0.000000] Memory: 175912k/2883584k available (3527k kernel code, 448k absent, 2707224k reserved, 3210k data, 612k init) When I start a guest domain with 2Gb of ram I can run xm mem-set domu 7Gb and get ~7Gb of ram in a guest domain: root@test:~# free total used free shared buffers cached Mem: 6828228 74944 6753284 0 1328 12568 -/+ buffers/cache: 61048 6767180 Swap: 1048572 0 1048572 And a guest domain dmesg: [ 0.000000] Memory: 1674960k/16651264k available (3527k kernel code, 448k absent, 14975856k reserved, 3210k data, 612k init) How can I start a guest domain with a minimal amount of ram (256Mb) and increase it under 15Gb?

  Read the article

• Profiling Startup Of VS2012 &ndash; SpeedTrace Profiler

  - by Alois Kraus

  SpeedTrace is a relatively unknown profiler made a company called Ipcas. A single professional license does cost 449€+VAT. For the test I did use SpeedTrace 4.5 which is currently Beta. Although it is cheaper than dotTrace it has by far the most options to influence how profiling does work. First you need to create a tracing project which does configure tracing for one process type. You can start the application directly from the profiler or (much more interesting) it does attach to a specific process when it is started. For this you need to check “Trace the specified …” radio button and enter the process name in the “Process Name of the Trace” edit box. You can even selectively enable tracing for processes with a specific command line. Then you need to activate the trace project by pressing the Activate Project button and you are ready to start VS as usual. If you want to profile the next 10 VS instances that you start you can set the Number of Processes counter to e.g. 10. This is immensely helpful if you are trying to profile only the next 5 started processes. As you can see there are many more tabs which do allow to influence tracing in a much more sophisticated way. SpeedTrace is the only profiler which does not rely entirely on the profiling Api of .NET. Instead it does modify the IL code (instrumentation on the fly) to write tracing information to disc which can later be analyzed. This approach is not only very fast but it does give you unprecedented analysis capabilities. Once the traces are collected they do show up in your workspace where you can open the trace viewer. I do skip the other windows because this view is by far the most useful one. You can sort the methods not only by Wall Clock time but also by CPU consumption and wait time which none of the other products support in their views at the same time. If you want to optimize for CPU consumption sort by CPU time. If you want to find out where most time is spent you need Clock Total time and Clock Waiting. There you can directly see if the method did take long because it did wait on something or it did really execute stuff that did take so long. Once you have found a method you want to drill deeper you can double click on a method to get to the Caller/Callee view which is similar to the JetBrains Method Grid view. But this time you do see much more. In the middle is the clicked method. Above are the methods that call you and below are the methods that you do directly call. Normally you would then start digging deeper to find the end of the chain where the slow method worth optimizing is located. But there is a shortcut. You can press the magic   button to calculate the aggregation of all called methods. This is displayed in the lower left window where you can see each method call and how long it did take. There you can also sort to see if this call stack does only contain methods (e.g. WCF connect calls which you cannot make faster) not worth optimizing. YourKit has a similar feature where it is called Callees List. In the Functions tab you have in the context menu also many other useful analysis options One really outstanding feature is the View Call History Drilldown. When you select this one you get not a sum of all method invocations but a list with the duration of each method call. This is not surprising since SpeedTrace does use tracing to get its timings. There you can get many useful graphs how this method did behave over time. Did it become slower at some point in time or was only the first call slow? The diagrams and the list will tell you that. That is all fine but what should I do when one method call was slow? I want to see from where it was coming from. No problem select the method in the list hit F10 and you get the call stack. This is a life saver if you e.g. search for serialization problems. Today Serializers are used everywhere. You want to find out from where the 5s XmlSerializer.Deserialize call did come from? Hit F10 and you get the call stack which did invoke the 5s Deserialize call. The CPU timeline tab is also useful to find out where long pauses or excessive CPU consumption did happen. Click in the graph to get the Thread Stacks window where you can get a quick overview what all threads were doing at this time. This does look like the Stack Traces feature in YourKit. Only this time you get the last called method first which helps to quickly see what all threads were executing at this moment. YourKit does generate a rather long list which can be hard to go through when you have many threads. The thread list in the middle does not give you call stacks or anything like that but you see which methods were found most often executing code by the profiler which is a good indication for methods consuming most CPU time. This does sound too good to be true? I have not told you the best part yet. The best thing about this profiler is the staff behind it. When I do see a crash or some other odd behavior I send a mail to Ipcas and I do get usually the next day a mail that the problem has been fixed and a download link to the new version. The guys at Ipcas are even so helpful to log in to your machine via a Citrix Client to help you to get started profiling your actual application you want to profile. After a 2h telco I was converted from a hater to a believer of this tool. The fast response time might also have something to do with the fact that they are actively working on 4.5 to get out of the door. But still the support is by far the best I have encountered so far. The only downside is that you should instrument your assemblies including the .NET Framework to get most accurate numbers. You can profile without doing it but then you will see very high JIT times in your process which can severely affect the correctness of the measured timings. If you do not care about exact numbers you can also enable in the main UI in the Data Trace tab logging of method arguments of primitive types. If you need to know what files at which times were opened by your application you can find it out without a debugger. Since SpeedTrace does read huge trace files in its reader you should perhaps use a 64 bit machine to be able to analyze bigger traces as well. The memory consumption of the trace reader is too high for my taste. But they did promise for the next version to come up with something much improved.

  Read the article

• Retrieve Heap memory size and its usage statistics etc...?

  - by AKN

  Lets say I open some application or process. Did some work with that. Now I closed it. Need to know whether this application caused any memory leak. i.e used up some heap memory and not cleared it properly. Can I get this statistics some how? I'm using Visual Studio (for development) under Windows OS. Even I would be interested in knowing this information for any 3rd party application.

  Read the article

• Where to check for heap memory size and its usage statistics etc... in windows?

  - by AKN

  Lets say I open some application or process. Did some work with that. Now I closed it. Need to know whether this application caused any memory leak. i.e used up some heap memory and not cleared it properly. Can I get this statistics some how? I'm using Visual Studio (for development) under Windows OS. Even I would be interested in knowing this information for any 3rd party application.

  Read the article

• Crash on iOS when system purges memory and closes a UIViewController

  - by Amiramix

  My application is crashing when one of the views is purged from memory because of low-memory condition. At least this is what I understand from the crashlog. It happens on numerous screens but only when opening a Facebook dialog (using the Facebook SDK). Basically, looks like the system sometimes runs out of memory when we need to present a Facebook dialog (e.g. to let user post something on the Facebook timeline). Date/Time: 2012-03-14 19:47:33.819 +0000 OS Version: iPhone OS 5.1 (9B176) Report Version: 104 Exception Type: EXC_BAD_ACCESS (SIGSEGV) Exception Codes: KERN_INVALID_ADDRESS at 0x30000008 Crashed Thread: 0 Thread 0 name: Dispatch queue: com.apple.main-thread Thread 0 Crashed: 0 libobjc.A.dylib 0x30f2bf78 objc_msgSend + 16 1 MyApp 0x00003c0e -LTBaseViewController viewDidUnload (LTBaseViewController.m:145) 2 MyApp 0x00004ea2 -LTBaseTableViewController viewDidUnload (LTBaseTableViewController.m:90) 3 UIKit 0x33766bd8 -[UIViewController unloadViewForced:] + 244 4 UIKit 0x338ae492 -[UIViewController purgeMemoryForReason:] + 58 5 Foundation 0x3071a4f8 __57-NSNotificationCenter addObserver:selector:name:object:_block_invoke_0 + 12 6 CoreFoundation 0x30e95540 ___CFXNotificationPost_block_invoke_0 + 64 7 CoreFoundation 0x30e21090 _CFXNotificationPost + 1400 8 Foundation 0x3068e3e4 -NSNotificationCenter postNotificationName:object:userInfo: + 60 9 Foundation 0x3068fc14 -NSNotificationCenter postNotificationName:object: + 24 10 UIKit 0x3387926a -UIApplication _performMemoryWarning + 74 11 UIKit 0x33879364 -UIApplication _receivedMemoryNotification + 168 12 libdispatch.dylib 0x36a12252 _dispatch_source_invoke + 510 13 libdispatch.dylib 0x36a0fb1e _dispatch_queue_invoke$VARIANT$up + 42 14 libdispatch.dylib 0x36a0fe64 _dispatch_main_queue_callback_4CF$VARIANT$up + 152 15 CoreFoundation 0x30e9c2a6 __CFRunLoopRun + 1262 16 CoreFoundation 0x30e1f49e CFRunLoopRunSpecific + 294 17 CoreFoundation 0x30e1f366 CFRunLoopRunInMode + 98 18 GraphicsServices 0x33fb6432 GSEventRunModal + 130 19 UIKit 0x336f5e76 UIApplicationMain + 1074 20 MyApp 0x00004818 main (main.m:16) 21 MyApp 0x000023b4 0x1000 + 5044 I checked and there are almost no memory leaks, e.g. when testing the app for an hour the total memory leaked was around 2-3Kb caused by some string-copying libraries. So I don't believe this is caused by the application. I guess that when the phone is not restarted for some time there are applications running in the background and when using Facebook SDK the memory becomes a problem and the system tries to recover the memory from random applications, including my application. My question is, how can I prevent this crash from happening? How should I handle unloadViewForced on a view controller to make the app more robust in low-memory conditions? And lastly, am I right that this crashlog suggests the crash occurred because the system tried to free memory and my application didn't handle it properly? Any help greatly appreciated.

  Read the article

• C++ std::vector memory/allocation

  - by aaa

  from a previous question about vector capacity, http://stackoverflow.com/questions/2663170/stdvector-capacity-after-copying, Mr. Bailey said: In current C++ you are guaranteed that no reallocation occurs after a call to reserve until an insertion would take the size beyond the value of the previous call to reserve. Before a call to reserve, or after a call to reserve when the size is between the value of the previous call to reserve and the capacity the implementation is allowed to reallocate early if it so chooses. So, if I understand correctly, in order to assure that no relocation happens until capacity is exceeded, I must do reserve twice? can you please clarify it? I am using vector as a memory stack like this: std::vector<double> memory; memory.reserve(size); memory.insert(memory.end(), matrix.data().begin(), matrix.data().end()); // smaller than size size_t offset = memory.size(); memory.resize(memory.capacity(), 0); I need to guarantee that relocation does not happen in the above. thank you. ps: I would also like to know if there is a better way to manage memory stack in similar manner other than vector

  Read the article

• Minimum percentage of free physical memory that Linux require for optimal performance

  - by csoto

  Recently, we have been getting questions about this percentage of free physical memory that OS require for optimal performance, mainly applicable to physical compute nodes. Under normal conditions you may see that at the nodes without any application running the OS take (for example) between 24 and 25 GB of memory. The Linux system reports the free memory in a different way, and most of those 25gbs (of the example) are available for user processes. IE: Mem: 99191652k total, 23785732k used, 75405920k free, 173320k buffers The MOS Doc Id. 233753.1 - "Analyzing Data Provided by '/proc/meminfo'" - explains it (section 4 - "Final Remarks"): Free Memory and Used Memory Estimating the resource usage, especially the memory consumption of processes is by far more complicated than it looks like at a first glance. The philosophy is an unused resource is a wasted resource.The kernel therefore will use as much RAM as it can to cache information from your local and remote filesystems/disks. This builds up over time as reads and writes are done on the system trying to keep the data stored in RAM as relevant as possible to the processes that have been running on your system. If there is free RAM available, more caching will be performed and thus more memory 'consumed'. However this doesn't really count as resource usage, since this cached memory is available in case some other process needs it. The cache is reclaimed, not at the time of process exit (you might start up another process soon that needs the same data), but upon demand. That said, focusing more specifically on the percentage question, apart from this memory that OS takes, how much should be the minimum free memory that must be available every node so that they operate normally? The answer is: As a rule of thumb 80% memory utilization is a good threshold, anything bigger than that should be investigated and remedied.

  Read the article

• How can I free all allocated memory at once?

  - by Tommy

  Here is what I am working with: char* qdat[][NUMTBLCOLS]; char** tdat[]; char* ptr_web_data; // Loop thru each table row of the query result set for(row_index = 0; row_index < number_rows; row_index++) { // Loop thru each column of the query result set and extract the data for(col_index = 0; col_index < number_cols; col_index++) { ptr_web_data = (char*) malloc((strlen(Data) + 1) * sizeof(char)); memcpy (ptr_web_data, column_text, strlen(column_text) + 1); qdat[row_index][web_data_index] = ptr_web_data; } } tdat[row_index] = qdat[col_index]; After the data is used, the memory allocated is released one at a time using free(). for(row_index = 0; row_index < number_rows; row_index++) { // Loop thru all columns used for(col_index = 0; col_index < SARWEBTBLCOLS; col_index++) { // Free memory block pointed to by results set array free(tdat[row_index][col_index]); } } Is there a way to release all the allocated memory at once, for this array? Thank You.

  Read the article

• memory issue iPad 4.2 crashes

  - by Manoj Kumar

  I am developing a application which receives 600-700 KB of XML data from the server. I have to do some manipulations in that data so once received the data the memory increases to 600 KB to 2 M.B. Already view occupied 4 M.B of memory in the application. So while processing the XML data i m doing some manipulation(pre-parsing) and the memory increases to 600 K.B to 2 M.B and finally decreases to 600 K.B. due to increase in memory, application gives the memory warning. While getting memory warning i m releasing all the views in the navigation controller but it releases only 1 M.B of memory. Even though I release all the views the application is crashing. Please help me out in this issue. It happens in iPad 4.2. Thanks in advance

  Read the article

• Memory address of a variable

  - by dotnetvoyager

  Hi Everyone, Is it possible to get the memory address of a variable in C#. What I am trying to do is very simple. I want to declare variables of type Double, Float, Decimal and assign the value 1.1 to each of these variables. Then I would like to go and see how these values are represented in memory. I need to get the memory address of the variable in order to see how its stored in memory. Once I have the memory address I plan to put a break point in the code and use the Debug - Windows - Memory option in visual studio to see how the numbers are stored in memory. Cheers,

  Read the article

• Control SQL Server CLR Reserved Memory

  - by Ryu

  I've recently enabled CLR on my 64 bit SQL Server 2005 machine for usage of about 3 procs. When I run the following query to gather some info on memory usage... select single_pages_kb+ multi_pages_kb + virtual_memory_committed_kb as TotalMemoryUsage, virtual_memory_reserved_kb from sys.dm_os_memory_clerks where type = 'MEMORYCLERK_SQLCLR' I get 129 mb MemoryUsage and 6.3 gb Virtual Memory Reserved The total memory of the machine is 21 gig. What does reserved virtual memory mean exactly and how can I control the size that is allocated? 6 gig is overkill for what we're doing and the memory would be much better utilized by the sproc cache. I'm concerned this reserved memory will cause swapping to the page file. Please help me take back control of the memory! Thanks

  Read the article

• Are memory leaks ever ok?

  - by Imbue

  Is it ever acceptable to have a memory leak in your C or C++ application? What if you allocate some memory and use it until the very last line of code in your application (for example, a global object's deconstructor)? As long as the memory consumption doesn't grow over time, is it OK to trust the OS to free your memory for you when your application terminates (on Windows, Mac, and Linux)? Would you even consider this a real memory leak if the memory was being used continuously until it was freed by the OS. What if a third party library forced this situation on you? Would refuse to use that third party library no matter how great it otherwise might be? I only see one practical disadvantage, and that is that these benign leaks will show up with memory leak detection tools as false positives.

  Read the article

• CUDA Global Memory, Where is it?

  - by gamerx

  I understand that in CUDA's memory hierachy, we have things like shared memory, texture memory, constant memory, registers and of course the global memory which we allocate using cudaMalloc(). I've been searching through whatever documentations I can find but I have yet to come across any that explicitly explains what is the global memory. I believe that the global memory allocated is on the GDDR of graphics card itself and not the RAM that is shared with the CPU since one of the documentations did state that the pointer cannot be dereferenced by the host side. Am I right?

  Read the article

• Testing with Profiler Custom Events and Database Snapshots

  We've all had them. One of those stored procedures that is huge and contains complex business logic which may or may not be executed. These procedures make it an absolute nightmare when it comes to debugging problems because they're so complex and have so many logic offshoots that it's very easy to get lost when you're trying to determine the path that the procedure code took when it ran. Fortunately Profiler lets you define custom events that you can raise in your code and capture in a trace so you get a better window into the sub events occurring in your code. I found it very useful to use custom events and a database snapshot to debug some code recently and we'll explore both in this article. I find raising these events and running Profiler to be very useful for testing my stored procedures on my own as well as when my code is going through official testing and user acceptance. It's a simple approach and a great way to catch any performance problems or logic errors.

  Read the article

• How to configure ubuntu for lightweight low-memory usage?

  - by augustin

  I just upgraded an old, secondary computer to the latest Kubuntu (10.10). It seems the effort was a bit too much for the hardware and one 512MB memory module died. I tried to take it away, clean the connectors, put it back several times, but to no avail. Until such a time I can find a second hand DDR memory module, I am left with a meagre 256MB RAM, which is below the official requirements (384MB) to run Kubuntu/KDE. Indeed: the computer constantly swaps the memory, making everything painfully slow. Since Kubuntu is already installed and I use it on all my computers (and I want to keep KDE for when I really need it), how can I configure ubuntu to squeeze out every bit of unnecessary memory usage? This is a secondary computer but still very useful. We use it mostly for web browsing. A "lightweight" tag is missing.

  Read the article

• How to configure kubuntu for lightweight low-memory usage?

  - by augustin

  I just upgraded an old, secondary computer to the latest Kubuntu (10.10). It seems the effort was a bit too much for the hardware and one 512MB memory module died. I tried to take it away, clean the connectors, put it back several times, but to no avail. Until such a time I can find a second hand DDR memory module, I am left with a meagre 256MB RAM, which is below the official requirements (384MB) to run Kubuntu/KDE. Indeed: the computer constantly swaps the memory, making everything painfully slow. Since Kubuntu is already installed and I use it on all my computers (and I want to keep KDE for when I really need it), how can I configure Kubuntu to squeeze out every bit of unnecessary memory usage? This is a secondary computer but still very useful. We use it mostly for web browsing. A "lightweight" tag is missing.

  Read the article

• In C++ Good reasons for NOT using symmetrical memory management (i.e. new and delete)

  - by Jim G

  I try to learn C++ and programming in general. Currently I am studying open source with help of UML. Learning is my hobby and great one too. My understanding of memory allocation in C++ is that it should be symmetrical. A class is responsible for its resources. If memory is allocated using new it should be returned using delete in the same class. It is like in a library you, the class, are responsibility for the books you have borrowed and you return them then you are done. This, in my mind, makes sense. It makes memory management more manageable so to speak. So far so good. The problem is that this is not how it works in the real world. In Qt for instance, you create QtObjects with new and then hand over the ownership of the object to Qt. In other words you create QtObjects and Qt destroys them for you. Thus unsymmetrical memory management. Obviously the people behind Qt must have a good reason for doing this. It must be beneficial in some kind of way, My questions is: What is the problem with Bjarne Stroustrups idea about a symmetrical memory management contained within a class? What do you gain by splitting new and delete so you create an object and destroy it in different classes like you do in Qt. Is it common to split new and delete and why in such case, in other projects not involving Qt? Thanks for any help shedding light on this mystery!

  Read the article

• Debug unstable Apache server under Debian

  - by almo

  Since yesterday my Apache server that runs on a Debian machine runs very unstable. Sometiems my websites load and sometimes not. I think it has to do with the memory since my Apache log is full of Out of memory (allocated 262144) (tried to allocate 4480 bytes). I also attached a screenshot of the memory graph. A server restart resolves the problem temporarily. I looked at the processes that are using memory but the biggest one is MySQL with 6.5%. Where else can look for the problem? Edit: I did a free -m right after rebooting and one about 2 hours later. I think the trend is visible: root@xxx:~# free -m total used free shared buffers cached Mem: 4016 731 3284 0 80 200 -/+ buffers/cache: 449 3566 Swap: 459 0 459 root@xxx:~# free -m total used free shared buffers cached Mem: 4016 2466 1550 0 92 473 -/+ buffers/cache: 1900 2115 Swap: 459 0 459

  Read the article

• 16 bit processor , memory addressing and memory cells

  - by Zia ur Rahman

  Suppose the accumulater register of the processor is of 16 bit , now we can call this processor as 16 bit processor, that is this processor supports 16 bit addressing. now my question is how we can calculate the number of memory cells that can be addressed by 16 bit addressing? according to my calculation 2 to the power 16 becomes 65055 it means the memory have 65055 cells now if we take 1KB=1000 Bytes then this becomes 65055/1000=65.055 now this means that 65 kilo bytes memory can be used with the processor having 16 bit addressing. now if we take 1KB=1024 Bytes then this becomes 65055/1024=63.5 ,it means that 63 kilo bytes memory can be used with this processor, but people say that 64 kilo bytes memory can be used. Now tell me am i right or wrong and why i am wrong why people say that 64kb memory can be used with the processor having 16 bit addressing?

  Read the article

• T-Mobile G1 (MSM7200) GPU Memory

  - by Reflog

  Hello. I'm trying to find some information regarding the available GPU (for OpenGL) memory on the T-Mobile G1. This phone has a MSM7200 Qualcomm chip inside with ATI Imageon GPU. Unfortunately I am not able to dig any info regarding the specifics of GPU memory usage. How much memory is available in total for the textures? Is the memory shared with the CPU memory? Thanks in advance, Eli

  Read the article

• How can relate "block of memory" to "objects" in Java?

  - by anonymous

  How can I define an object in Java in a way that would mean 'block of memory'?

  Read the article

• Memory leak in Google Chrome

  - by jasondavis

  As a developer it is very common for me to have 2-3 different IDE's open, 10-15 google chrome windows which can hold up to 200 open tabs (I know I get out of hand some times), Photoshop, couple twitter bots for promo, and a few other programs but my system still runs fast and smooth. I have an i7 processor with 12gb ram. Now with all my usual stuff running my Physical memory is usually running around 50-60% however over the course of the day or much less even, I will gradually grow to 98% The highest Memory usage processes will be from Google Chrome, if I sort in the task manager by highest memory usage and end the 1 highest process which will be a google chrome one, my memory usage will jump back down to about 60%. Also by ending that 1 process, all my Chrome windows will remain open and in use, so it doesn't affect me at all by ending that process. Based on this research I am assuming that that 1 runaway process is likely the Adobe Flash as I also can say that it gets up to the 98% much faster when I am using flash items like video or music player. But even without using any of them it will still climb up to that high number eventually. Has anyone else experienced similar results?

  Read the article

• Heavy Apache memory usage

  - by Ree

  Recently I've noticed that httpd processes started to consume massive amounts of memory - after some time pretty much using almost all of the 2GB of RAM the server has and I don't have any memory left for other stuff. Here's what top tells me: 26409 apache 15 0 276m 152m 28m S 0 7.4 0:59.12 httpd 26408 apache 15 0 278m 151m 28m S 0 7.4 1:03.80 httpd 26410 apache 15 0 277m 149m 26m S 0 7.3 0:57.22 httpd 26405 apache 15 0 276m 148m 25m S 0 7.3 0:59.20 httpd 26411 apache 16 0 276m 146m 23m S 0 7.2 1:09.18 httpd 17549 apache 15 0 276m 144m 23m S 0 7.0 0:36.34 httpd 22095 apache 15 0 276m 136m 14m S 0 6.6 0:30.56 httpd It seems to me that each httpd process does not free the memory after handling a request. So they all sit at ~270MB which is BAD. Is there a way for me to know where all the memory goes and why it stays that way? I haven't done any server tweaking lately, so I'm sure it's not me who messed something up (haven't had the problem before). The server is used to serve PHP apps. EDIT: Apache is configured with prefork module and MaxRequestsPerChild is set to 4000.

  Read the article

< Previous Page | 14 15 16 17 18 19 20 21 22 23 24 25  | Next Page >