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  • Strange thread behavior in Perl

    - by Zaid
    Tom Christiansen's example code (à la perlthrtut) is a recursive, threaded implementation of finding and printing all prime numbers between 3 and 1000. Below is a mildly adapted version of the script #!/usr/bin/perl # adapted from prime-pthread, courtesy of Tom Christiansen use strict; use warnings; use threads; use Thread::Queue; sub check_prime { my ($upstream,$cur_prime) = @_; my $child; my $downstream = Thread::Queue->new; while (my $num = $upstream->dequeue) { next unless ($num % $cur_prime); if ($child) { $downstream->enqueue($num); } else { $child = threads->create(\&check_prime, $downstream, $num); if ($child) { print "This is thread ",$child->tid,". Found prime: $num\n"; } else { warn "Sorry. Ran out of threads.\n"; last; } } } if ($child) { $downstream->enqueue(undef); $child->join; } } my $stream = Thread::Queue->new(3..shift,undef); check_prime($stream,2); When run on my machine (under ActiveState & Win32), the code was capable of spawning only 118 threads (last prime number found: 653) before terminating with a 'Sorry. Ran out of threads' warning. In trying to figure out why I was limited to the number of threads I could create, I replaced the use threads; line with use threads (stack_size => 1);. The resultant code happily dealt with churning out 2000+ threads. Can anyone explain this behavior?

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  • Ideas on implementing threads and cross process communication. - C

    - by Jamie Keeling
    Hello all! I have an application consisting of two windows, one communicates to the other and sends it a struct constaining two integers (In this case two rolls of a dice). I will be using events for the following circumstances: Process a sends data to process b, process b displays data Process a closes, in turn closing process b Process b closes a, in turn closing process a I have noticed that if the second process is constantly waiting for the first process to send data then the program will be just sat waiting, which is where the idea of implementing threads on each process occured. I have already implemented a thread on the first process which currently creates the data to send to the second process and makes it available to the second process. The problem i'm having is that I don't exactly have a lot of experience with threads and events so I'm not sure of the best way to actually implement what I want to do. Following is a small snippet of what I have so far in the producer application; Rolling the dice and sending the data: case IDM_FILE_ROLLDICE: { hDiceRoll = CreateThread( NULL, // lpThreadAttributes (default) 0, // dwStackSize (default) ThreadFunc(hMainWindow), // lpStartAddress NULL, // lpParameter 0, // dwCreationFlags &hDiceID // lpThreadId (returned by function) ); } break; The data being sent to the other process: DWORD WINAPI ThreadFunc(LPVOID passedHandle) { HANDLE hMainHandle = *((HANDLE*)passedHandle); WCHAR buffer[256]; LPCTSTR pBuf; LPVOID lpMsgBuf; LPVOID lpDisplayBuf; struct diceData storage; HANDLE hMapFile; DWORD dw; //Roll dice and store results in variable storage = RollDice(); hMapFile = CreateFileMapping( (HANDLE)0xFFFFFFFF, // use paging file NULL, // default security PAGE_READWRITE, // read/write access 0, // maximum object size (high-order DWORD) BUF_SIZE, // maximum object size (low-order DWORD) szName); // name of mapping object if (hMapFile == NULL) { dw = GetLastError(); MessageBox(hMainHandle,L"Could not create file mapping object",L"Error",MB_OK); return 1; } pBuf = (LPTSTR) MapViewOfFile(hMapFile, // handle to map object FILE_MAP_ALL_ACCESS, // read/write permission 0, 0, BUF_SIZE); if (pBuf == NULL) { MessageBox(hMainHandle,L"Could not map view of file",L"Error",MB_OK); CloseHandle(hMapFile); return 1; } CopyMemory((PVOID)pBuf, &storage, (_tcslen(szMsg) * sizeof(TCHAR))); //_getch(); MessageBox(hMainHandle,L"Completed!",L"Success",MB_OK); UnmapViewOfFile(pBuf); return 0; } I'd like to think I am at least on the right lines, although for some reason when the application finishes creating the thread it hits the return DefWindowProc(hMainWindow, message, wParam, lParam); it crashes saying there's no more source code for the current location. I know there are certain ways to implement things but as I've mentioned I'm not sure if i'm doing this the right way, has anybody else tried to do the same thing? Thanks!

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  • Is it possible to use instanceof when passing objects between Threads?

    - by Risser
    I've run into an issue where instanceof works, and then it doesn't. Going into details is difficult, but I think this might be the problem: Reading this: http://www.theserverside.com/news/thread.tss?thread_id=40229 (search for Thread.currentThread), it seems to imply that, even if the two objects are the same class, if you pass them between threads with different class loaders, instanceof (and isAssignableFrom) might still fail. This certainly would explain the behavior I'm having, but I was wondering if anyone could verify it? (I wish the article linked at the beginning of the discussion was still available, but it doesn't seem like it is.) Thanks, Peter

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  • C# Events between threads executed in their own thread (How to) ?

    - by Guillaume
    Hello, I'd like to have two Threads. Let's call them : Thread A Thread B Thread A fires an event and thread B listen to this event. When the Thread B Event Listener is executed, it's executed with the Thread A's thread ID, so i guess it is executed within the Thread A. What I'd like to do is be able to fire event to Thread B saying something like: "hey, a data is ready for you, you can deal with it now". This event must be executed in its own Thread because it uses things that only him can access (like UI controls). How can I do that ? Thank you for you help.

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  • specifying ThreadPoolExecutor problem

    - by Sarmun
    Is there any way to create Executor that will have always at least 5 threads, and maximum of 20 threads, and unbounded queue for tasks (meaning no task is rejected) I tried new ThreadPoolExecutor(5, 20, 60L, TimeUnit.SECONDS, queue) with all possibilities that I thought of for queue: new LinkedBlockingQueue() // never runs more than 5 threads new LinkedBlockingQueue(1000000) // runs more than 5 threads, only when there is more than 1000000 tasks waiting new ArrayBlockingQueue(1000000) // runs more than 5 threads, only when there is more than 1000000 tasks waiting new SynchronousQueue() // no tasks can wait, after 20, they are rejected and none worked as wanted.

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  • Glenn Fiedler's fixed timestep with fake threads

    - by kaoD
    I've implemented Glenn Fiedler's Fix Your Timestep! quite a few times in single-threaded games. Now I'm facing a different situation: I'm trying to do this in JavaScript. I know JS is single-threaded, but I plan on using requestAnimationFrame for the rendering part. This leaves me with two independent fake threads: simulation and rendering (I suppose requestAnimationFrame isn't really threaded, is it? I don't think so, it would BREAK JS.) Timing in these threads is independent too: dt for simulation and render is not the same. If I'm not mistaken, simulation should be up to Fiedler's while loop end. After the while loop, accumulator < dt so I'm left with some unspent time (dt) in the simulation thread. The problem comes in the draw/interpolation phase: const double alpha = accumulator / dt; State state = currentState*alpha + previousState * ( 1.0 - alpha ); render( state ); In my render callback, I have the current timestamp to which I can subtract the last-simulated-in-physics-timestamp to have a dt for the current frame. Should I just forget about this dt and draw using the physics thread's dt? It seems weird, since, well, I want to interpolate for the unspent time between simulation and render too, right? Of course, I want simulation and rendering to be completely independent, but I can't get around the fact that in Glenn's implementation the renderer produces time and the simulation consumes it in discrete dt sized chunks. A similar question was asked in Semi Fixed-timestep ported to javascript but the question doesn't really get to the point, and answers there point to removing physics from the render thread (which is what I'm trying to do) or just keeping physics in the render callback too (which is what I'm trying to avoid.)

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  • How exactly to implement multiple threads in a game

    - by xerwin
    So I recently started learning Java, and having a interest in playing games as well as developing them, naturally I want to create game in Java. I have experience with games in C# and C++ but all of them were single-threaded simple games. But now, I learned how easy it is to make threads in Java, I want to take things to the next level. I started thinking about how would I actually implement threading in a game. I read couple of articles that say the same thing "Usually you have thread for rendering, for updating game logic, for AI, ..." but I haven't (or didn't look hard enough) found example of implementation. My idea how to make implementation is something like this (example for AI) public class AIThread implements Runnable{ private List<AI> ai; private Player player; /*...*/ public void run() { for (int i = 0; i < ai.size(); i++){ ai.get(i).update(player); } Thread.sleep(/* sleep until the next game "tick" */); } } I think this could work. If I also had a rendering and updating thread list of AI in both those threads, since I need to draw the AI and I need to calculate the logic between player and AI(But that could be moved to AIThread, but as an example) . Coming from C++ I'm used to do thing elegantly and efficiently, and this seems like neither of those. So what would be the correct way to handle this? Should I just keep multiple copies of resources in each thread or should I have the resources on one spot, declared with synchronized keyword? I'm afraid that could cause deadlocks, but I'm not yet qualified enough to know when a code will produce deadlock.

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  • Ensuring all waiting threads complete

    - by Daniel
    I'm building a system where the progress of calling threads is dependent on the state of two variables. One variable is updated sporadically by an external source (separate from the client threads) and multiple client threads block on a condition of both variables. The system is something like this TypeB waitForB() { // Can be called by many threads. synchronized (B) { while (A <= B) { B.wait(); } A = B; return B; { } void updateB(TypeB newB) { // Called by one thread. synchronized (B) { B.update(newB); B.notifyAll(); // All blocked threads must receive new B. } } I need all the blocked threads to receive the new value of B once it has been updated. But the problem is once a single thread finishes and updates A, the waiting condition becomes true again so some of the other threads become blocked and don't receive the new value of B. Is there a way of ensuring that only the last thread that was blocked on B updates A, or another way of getting this behaviour?

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  • Does Apache ever give incorrect "out of threads" errors?

    - by Eli Courtwright
    Lately our Apache web server has been giving us this error multiple times per day: [Tue Apr 06 01:07:10 2010] [error] Server ran out of threads to serve requests. Consider raising the ThreadsPerChild setting We raised our ThreadsPerChild setting from 50 to 100, but we still get the error. Our access logs indicate that these errors never even happen at periods of high load. For example, here's an excerpt from our access log (ip addresses and some urls are edited for privacy). As you can see, the above error happened at 1:07 and only a small handful of requests occurred in the several minutes leading up to the error: 99.88.77.66 - - [06/Apr/2010:00:59:33 -0400] "GET /WebRepository/jquery/jquery-ui-1.7.1.custom/css/smoothness/images/ui-icons_222222_256x240.png HTTP/1.1" 304 - 99.88.77.66 - - [06/Apr/2010:00:59:34 -0400] "GET /WebRepository/jquery/jquery-ui-1.7.1.custom/css/smoothness/images/ui-bg_glass_75_dadada_1x400.png HTTP/1.1" 200 111 99.88.77.66 - - [06/Apr/2010:00:59:34 -0400] "GET /WebRepository/jquery/jquery-ui-1.7.1.custom/css/smoothness/images/ui-bg_glass_75_dadada_1x400.png HTTP/1.1" 200 111 99.88.77.66 - mpeu [06/Apr/2010:00:59:40 -0400] "GET /some/dynamic/content HTTP/1.1" 200 145049 55.44.33.22 - mpeu [06/Apr/2010:01:06:56 -0400] "GET /other/dynamic/content HTTP/1.1" 200 12311 55.44.33.22 - - [06/Apr/2010:01:06:56 -0400] "GET /WebRepository/jquery/jquery-ui-1.7.1.custom/css/smoothness/jquery-ui-1.7.1.custom.css HTTP/1.1" 304 - 55.44.33.22 - - [06/Apr/2010:01:06:56 -0400] "GET /WebRepository/jquery/jquery-ui-1.7.1.custom/js/jquery-1.3.2.min.js HTTP/1.1" 304 - 55.44.33.22 - - [06/Apr/2010:01:06:56 -0400] "GET /WebRepository/jquery/jquery-ui-1.7.1.custom/js/jquery-ui-1.7.1.custom.min.js HTTP/1.1" 304 - 55.44.33.22 - - [06/Apr/2010:01:06:56 -0400] "GET /WebRepository/jquery.tablesorter.min.js HTTP/1.1" 304 - 55.44.33.22 - - [06/Apr/2010:01:06:56 -0400] "GET /WebRepository/date.js HTTP/1.1" 304 - 55.44.33.22 - - [06/Apr/2010:01:06:56 -0400] "GET /WebRepository/pdfs/image1.gif HTTP/1.1" 304 - 55.44.33.22 - - [06/Apr/2010:01:06:56 -0400] "GET /WebRepository/pdfs/image2.png HTTP/1.1" 304 - 55.44.33.22 - - [06/Apr/2010:01:06:56 -0400] "GET /WebRepository/pdfs/image3.png HTTP/1.1" 304 - 55.44.33.22 - - [06/Apr/2010:01:06:56 -0400] "GET /WebRepository/pdfs/image4.png HTTP/1.1" 304 - 55.44.33.22 - - [06/Apr/2010:01:06:56 -0400] "GET /WebRepository/pdfs/image5.png HTTP/1.1" 304 - 55.44.33.22 - - [06/Apr/2010:01:06:56 -0400] "GET /WebRepository/pdfs/image6.png HTTP/1.1" 304 - 55.44.33.22 - - [06/Apr/2010:01:06:56 -0400] "GET /WebRepository/pdfs/image7.png HTTP/1.1" 304 - 55.44.33.22 - - [06/Apr/2010:01:06:57 -0400] "GET /WebRepository/pdfs/image8.png HTTP/1.1" 304 - 55.44.33.22 - - [06/Apr/2010:01:06:57 -0400] "GET /WebRepository/pdfs/image9.png HTTP/1.1" 304 - 55.44.33.22 - - [06/Apr/2010:01:06:57 -0400] "GET /WebRepository/pdfs/imageA.png HTTP/1.1" 304 - 55.44.33.22 - - [06/Apr/2010:01:06:57 -0400] "GET /WebRepository/jquery/jquery-ui-1.7.1.custom/css/smoothness/images/ui-bg_flat_75_ffffff_40x100.png HTTP/1.1" 304 - 55.44.33.22 - - [06/Apr/2010:01:06:59 -0400] "GET /WebRepository/jquery/jquery-ui-1.7.1.custom/css/smoothness/images/ui-bg_highlight-soft_75_cccccc_1x100.png HTTP/1.1" 304 - 55.44.33.22 - - [06/Apr/2010:01:06:59 -0400] "GET /WebRepository/jquery/jquery-ui-1.7.1.custom/css/smoothness/images/ui-bg_glass_75_e6e6e6_1x400.png HTTP/1.1" 200 110 55.44.33.22 - - [06/Apr/2010:01:06:59 -0400] "GET /WebRepository/jquery/jquery-ui-1.7.1.custom/css/smoothness/images/ui-bg_glass_75_e6e6e6_1x400.png HTTP/1.1" 200 110 11.22.33.44 - mpeu [06/Apr/2010:01:18:03 -0400] "GET /other/dynamic/content HTTP/1.1" 200 12311 11.22.33.44 - - [06/Apr/2010:01:18:03 -0400] "GET /WebRepository/jquery/jquery-ui-1.7.1.custom/js/jquery-1.3.2.min.js HTTP/1.1" 304 - 11.22.33.44 - - [06/Apr/2010:01:18:04 -0400] "GET /WebRepository/jquery/jquery-ui-1.7.1.custom/css/smoothness/jquery-ui-1.7.1.custom.css HTTP/1.1" 200 27374 11.22.33.44 - - [06/Apr/2010:01:18:04 -0400] "GET /WebRepository/jquery/jquery-ui-1.7.1.custom/js/jquery-ui-1.7.1.custom.min.js HTTP/1.1" 304 - 11.22.33.44 - - [06/Apr/2010:01:18:04 -0400] "GET /WebRepository/jquery.tablesorter.min.js HTTP/1.1" 200 12795 11.22.33.44 - - [06/Apr/2010:01:18:04 -0400] "GET /WebRepository/date.js HTTP/1.1" 200 25809 For what it's worth, we're running the version of Apache that ships with Oracle 10g (some 2.0 version), and we're using mod_plsql to generate our dynamic content. Since the Apache server runs as a separate process and the database doesn't record any problems when this error occurs, I'm doubtful that Oracle is the problem. Unfortunately, the errors are freaking out our sysadmins, who are inclined to blame any and all problems which occur with the server on this error. Is this a known bug in Apache that I simply haven't been able to find any reference to through Google?

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  • Redhat 5.5: Multi-thread process only uses 1 CPU of the available 8

    - by Tonny
    Weird situation: Redhat Enterprise 5.5 (stock install, no updates, x64) on a HP z800 workstation. (Dual Xeon 2,2 Ghz. 8 cores, 16 if you count Hyper-threading. RH sees 16 cores.) We have an application that can utilize 1, 2 or 4 threads for heavy calculations. Somehow all these threads run on the same core at 100% load (the other 15 cores are nearly idle) so there is absolutely no benefit from the extra threads. In fact there is a slight slowdown as the threads get in each others way on the single core. How do I get them to run on separate cores (if possible)? Application is 64 bit. Can't change anything about the software except changing the threads setting. Is there some obscure Linux setting I can try to change? (I'm a True64 and Aix guy. I use Linux, but have no in depth knowledge of the process scheduling on Linux.)

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  • Matrix Multiplication with Threads: Why is it not faster?

    - by prelic
    Hey all, So I've been playing around with pthreads, specifically trying to calculate the product of two matrices. My code is extremely messy because it was just supposed to be a quick little fun project for myself, but the thread theory I used was very similar to: #include <pthread.h> #include <stdio.h> #include <stdlib.h> #define M 3 #define K 2 #define N 3 #define NUM_THREADS 10 int A [M][K] = { {1,4}, {2,5}, {3,6} }; int B [K][N] = { {8,7,6}, {5,4,3} }; int C [M][N]; struct v { int i; /* row */ int j; /* column */ }; void *runner(void *param); /* the thread */ int main(int argc, char *argv[]) { int i,j, count = 0; for(i = 0; i < M; i++) { for(j = 0; j < N; j++) { //Assign a row and column for each thread struct v *data = (struct v *) malloc(sizeof(struct v)); data->i = i; data->j = j; /* Now create the thread passing it data as a parameter */ pthread_t tid; //Thread ID pthread_attr_t attr; //Set of thread attributes //Get the default attributes pthread_attr_init(&attr); //Create the thread pthread_create(&tid,&attr,runner,data); //Make sure the parent waits for all thread to complete pthread_join(tid, NULL); count++; } } //Print out the resulting matrix for(i = 0; i < M; i++) { for(j = 0; j < N; j++) { printf("%d ", C[i][j]); } printf("\n"); } } //The thread will begin control in this function void *runner(void *param) { struct v *data = param; // the structure that holds our data int n, sum = 0; //the counter and sum //Row multiplied by column for(n = 0; n< K; n++){ sum += A[data->i][n] * B[n][data->j]; } //assign the sum to its coordinate C[data->i][data->j] = sum; //Exit the thread pthread_exit(0); } source: http://macboypro.com/blog/2009/06/29/matrix-multiplication-in-c-using-pthreads-on-linux/ For the non-threaded version, I used the same setup (3 2-d matrices, dynamically allocated structs to hold r/c), and added a timer. First trials indicated that the non-threaded version was faster. My first thought was that the dimensions were too small to notice a difference, and it was taking longer to create the threads. So I upped the dimensions to about 50x50, randomly filled, and ran it, and I'm still not seeing any performance upgrade with the threaded version. What am I missing here?

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  • Running code when all threads are finished processing.

    - by rich97
    Quick note: Java and Android noob here, I'm open to you telling me I'm stupid (as long as you tell me why.) I have an android application which requires me start multiple threads originating from various classes and only advance to the next activity once all threads have done their job. I also want to add a "failsafe" timeout in case one the the threads takes too long (HTTP request taking too long or something.) I searched Stack Overflow and found a post saying that I should create a class to keep a running total of open threads and then use a timer to poll for when all the threads are completed. I think I've created a working class to do this for me, it's untested as of yet but has no errors showing in eclipse. Is this a correct implementation? Are there any APIs that I should be made aware of (such as classes in the Java or Android APIs that could be used in place of the abstract classes at the bottom of the class?) package com.dmp.geofix.libs; import java.util.ArrayList; import java.util.Iterator; import java.util.Timer; import java.util.TimerTask; public class ThreadMonitor { private Timer timer = null; private TimerTask timerTask = null; private OnSuccess onSuccess = null; private OnError onError = null; private static ArrayList<Thread> threads; private final int POLL_OPEN_THREADS = 100; private final int TIMEOUT = 10000; public ThreadMonitor() { timerTask = new PollThreadsTask(); } public ThreadMonitor(OnSuccess s) { timerTask = new PollThreadsTask(); onSuccess = s; } public ThreadMonitor(OnError e) { timerTask = new PollThreadsTask(); onError = e; } public ThreadMonitor(OnSuccess s, OnError e) { timerTask = new PollThreadsTask(); onSuccess = s; onError = e; } public void start() { Iterator<Thread> i = threads.iterator(); while (i.hasNext()) { i.next().start(); } timer = new Timer(); timer.schedule(timerTask, 0, POLL_OPEN_THREADS); } public void finish() { Iterator<Thread> i = threads.iterator(); while (i.hasNext()) { i.next().interrupt(); } threads.clear(); timer.cancel(); } public void addThread(Thread t) { threads.add(t); } public void removeThread(Thread t) { threads.remove(t); t.interrupt(); } class PollThreadsTask extends TimerTask { private int timeElapsed = 0; @Override public void run() { timeElapsed += POLL_OPEN_THREADS; if (timeElapsed <= TIMEOUT) { if (threads.isEmpty() == false) { if (onSuccess != null) { onSuccess.run(); } } } else { if (onError != null) { onError.run(); } finish(); } } } public abstract class OnSuccess { public abstract void run(); } public abstract class OnError { public abstract void run(); } }

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  • Avoiding and Identifying False Sharing Among Threads

    In symmetric multiprocessor (SMP) systems, each processor has a local cache. The memory system must guarantee cache coherence. False sharing occurs when threads on different processors modify variables that reside on the same cache line. Learn methods to detect and correct false sharing.

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  • Strange threads in application in Win7 WOW64

    - by Shcheklein
    We are observing 4-6 threads on Windows 7 x64 in the application which have 3 threads and behaves normally on any Windows (either 32 or 64 bit) prior Windows 7. Process Explorer shows the following "unknown" thread: ntdll.dll!EtwDeliverDataBlock+offset after random interval the following threads appear: ntdll.dll!TpCallbackIndependent+offset ntdll.dll!TpCallbackIndependent+offset after that application can't create thread (error code 8, hot enough space ...). It seems to me that some system DLL creates ETW threads or something. Does anyone know what these threads for and how to manage them?

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  • CUDA threads for inner loop

    - by Manolete
    I've got this kernel __global__ void kernel1(int keep, int include, int width, int* d_Xco, int* d_Xnum, bool* d_Xvalid, float* d_Xblas) { int i, k; i = threadIdx.x + blockIdx.x * blockDim.x; if(i < keep){ for(k = 0; k < include ; k++){ int val = (d_Xblas[i*include + k] >= 1e5); int aux = d_Xnum[i]; d_Xblas[i*include + k] *= (!val); d_Xco[i*width + aux] = k; d_Xnum[i] +=val; d_Xvalid[i*include + k] = (!val); } } } launched with int keep = 9000; int include = 23000; int width = 0.2*include; int threads = 192; int blocks = keep+threads-1/threads; kernel1 <<< blocks,threads >>>( keep, include, width, d_Xco, d_Xnum, d_Xvalid, d_Xblas ); This kernel1 works fine but it is obviously not totally optimized. I thought it would be straight forward to eliminate the inner loop k but for some reason it doesn't work fine. My first idea was: __global__ void kernel2(int keep, int include, int width, int* d_Xco, int* d_Xnum, bool* d_Xvalid, float* d_Xblas) { int i, k; i = threadIdx.x + blockIdx.x * blockDim.x; k = threadIdx.y + blockIdx.y * blockDim.y; if((i < keep) && (k < include) ) { int val = (d_Xblas[i*include + k] >= 1e5); int aux = d_Xnum[i]; d_Xblas[i*include + k] *= (float)(!val); d_Xco[i*width + aux] = k; atomicAdd(&d_Xnum[i], val); d_Xvalid[i*include + k] = (!val); } } launched with a 2D grid: int keep = 9000; int include = 23000; int width = 0.2*include; int th = 32; dim3 threads(th,th); dim3 blocks (keep+threads.x-1/threads.x, include+threads.y-1/threads.y); kernel2 <<< blocks,threads >>>( keep, include, width, d_Xco, d_Xnum, d_Xvalid, d_Xblas ); Although I believe the idea is fine, it does not work and I am running out of ideas here. Could you please help me out here? I also think the problem could be in d_Xco which stores the position k in a smaller array , so the order matters, but I can't think of any other way of doing it...

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  • How to indefinitely pause a thread in Java and later resume it?

    - by Carlos Torres
    Maybe this question has been asked many times before, but I never found a satisfying answer. The problem: I have to simulate a process scheduler, using the round robin strategy. I'm using threads to simulate processes and multiprogramming; everything works fine with the JVM managing the threads. But the thing is that now I want to have control of all the threads so that I can run each thread alone by a certain quantum (or time), just like real OS processes schedulers. What I'm thinking to do: I want have a list of all threads, as I iterate the list I want to execute each thread for their corresponding quantum, but as soon the time's up I want to pause that thread indefinitely until all threads in the list are executed and then when I reach the same thread again resume it and so on. The question: So is their a way, without using deprecated methods stop(), suspend(), or resume(), to have this control over threads?

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  • Threading Overview

    - by ACShorten
    One of the major features of the batch framework is the ability to support multi-threading. The multi-threading support allows a site to increase throughput on an individual batch job by splitting the total workload across multiple individual threads. This means each thread has fine level control over a segment of the total data volume at any time. The idea behind the threading is based upon the notion that "many hands make light work". Each thread takes a segment of data in parallel and operates on that smaller set. The object identifier allocation algorithm built into the product randomly assigns keys to help ensure an even distribution of the numbers of records across the threads and to minimize resource and lock contention. The best way to visualize the concept of threading is to use a "pie" analogy. Imagine the total workset for a batch job is a "pie". If you split that pie into equal sized segments, each segment would represent an individual thread. The concept of threading has advantages and disadvantages: Smaller elapsed runtimes - Jobs that are multi-threaded finish earlier than jobs that are single threaded. With smaller amounts of work to do, jobs with threading will finish earlier. Note: The elapsed runtime of the threads is rarely proportional to the number of threads executed. Even though contention is minimized, some contention does exist for resources which can adversely affect runtime. Threads can be managed individually – Each thread can be started individually and can also be restarted individually in case of failure. If you need to rerun thread X then that is the only thread that needs to be resubmitted. Threading can be somewhat dynamic – The number of threads that are run on any instance can be varied as the thread number and thread limit are parameters passed to the job at runtime. They can also be configured using the configuration files outlined in this document and the relevant manuals.Note: Threading is not dynamic after the job has been submitted Failure risk due to data issues with threading is reduced – As mentioned earlier individual threads can be restarted in case of failure. This limits the risk to the total job if there is a data issue with a particular thread or a group of threads. Number of threads is not infinite – As with any resource there is a theoretical limit. While the thread limit can be up to 1000 threads, the number of threads you can physically execute will be limited by the CPU and IO resources available to the job at execution time. Theoretically with the objects identifiers evenly spread across the threads the elapsed runtime for the threads should all be the same. In other words, when executing in multiple threads theoretically all the threads should finish at the same time. Whilst this is possible, it is also possible that individual threads may take longer than other threads for the following reasons: Workloads within the threads are not always the same - Whilst each thread is operating on the roughly the same amounts of objects, the amount of processing for each object is not always the same. For example, an account may have a more complex rate which requires more processing or a meter has a complex amount of configuration to process. If a thread has a higher proportion of objects with complex processing it will take longer than a thread with simple processing. The amount of processing is dependent on the configuration of the individual data for the job. Data may be skewed – Even though the object identifier generation algorithm attempts to spread the object identifiers across threads there are some jobs that use additional factors to select records for processing. If any of those factors exhibit any data skew then certain threads may finish later. For example, if more accounts are allocated to a particular part of a schedule then threads in that schedule may finish later than other threads executed. Threading is important to the success of individual jobs. For more guidelines and techniques for optimizing threading refer to Multi-Threading Guidelines in the Batch Best Practices for Oracle Utilities Application Framework based products (Doc Id: 836362.1) whitepaper available from My Oracle Support

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  • OpenMP: Get total number of running threads

    - by Konrad Rudolph
    I need to know the total number of threads that my application has spawned via OpenMP. Unfortunately, the omp_get_num_threads() function does not work here since it only yields the number of threads in the current team. However, my code runs recursively (divide and conquer, basically) and I want to spawn new threads as long as there are still idle processors, but no more. Is there a way to get around the limitations of omp_get_num_threads and get the total number of running threads? If more detail is required, consider the following pseudo-code that models my workflow quite closely: function divide_and_conquer(Job job, int total_num_threads): if job.is_leaf(): # Recurrence base case. job.process() return left, right = job.divide() current_num_threads = omp_get_num_threads() if current_num_threads < total_num_threads: # (1) #pragma omp parallel num_threads(2) #pragma omp section divide_and_conquer(left, total_num_threads) #pragma omp section divide_and_conquer(right, total_num_threads) else: divide_and_conquer(left, total_num_threads) divide_and_conquer(right, total_num_threads) job = merge(left, right) If I call this code with a total_num_threads value of 4, the conditional annotated with (1) will always evaluate to true (because each thread team will contain at most two threads) and thus the code will always spawn two new threads, no matter how many threads are already running at a higher level. I am searching for a platform-independent way of determining the total number of threads that are currently running in my application.

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  • What constitutes proper use of threads in programming?

    - by Smith
    I am tired of hearing people recommend that you should use only one thread per process, while many programs use up to 100 per process! take for example some common programs vb.net ide uses about 25 thread when not debugging System uses about 100 chrome uses about 19 Avira uses more than about 50 Any time I post a thread related question, I am reminded almost every time that I should not use more that one thread per process, and all the programs I mention above are ruining on my system with a single processor. What constitutes proper use of threads in programming? Please make general comment, but I'd prefer .NET framework thanks EDIT changed processor to process

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  • Do games use threads?

    - by Nubcake
    I understand that the concept of how a game runs i.e while (game_loop = true) { //handle events // input/output/sound etc } But it has come to my attention while programming in another HLL is do some games use threads for certain operations? For example take any Pokemon game ; during interaction a textbox appears to display information. Now I've been trying to simulate that sort of textbox and the only way I could have got it to be exactly the same is by using a loop and yes once a loop is started there is no way to handle window events unless they are handled again inside the loop itself. I couldn't have used this loop inside a different thread other than the main one (due to a DirectX limitation) so the only option was to use it inside the main program thread. I was wondering if some games work like this ; do they only use the main program thread and handle events again if they're inside a loop? Edit: I forgot to mention this is about console games not PC games! Thanks Nubcake

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  • How about the Asp.net processes and threads and apppools?

    - by Michel
    Hi, as i understand, when i load a asp.net .aspx page on the (iis)server, it's processed via the w3p.exe process. But when iis gets multiple requests, are they all processed by the same w3p process? And does this process automaticly use all my processors and cores? And after that: when i start i new thread in my page, this thread still works when the pages is already served to the client. Where does this thread live? also in the w3p.exe process? And what if i assign another apppool to my site, what does that do? Michel

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