affinity

Obtaining thread Core affinity in C++ 11 through pthreads

亡梦爱人 提交于 2019-12-03 12:52:35
问题 I'm trying to set core affinity (Thread #1 goes on first core, Thread #2 goes on second core, ...) while using std::thread in C++ 11. I've already searched around various topics and on the internet and it seems C++ 11 API doesn't provide such low level feature. On the other hand, pthreads come with pthread_setaffinity_np which would be useful if I could get the "pthread_t" value of my std::thread (I don't know if this is human reasonable or at least legitimate asking for it). An example

Linux find out Hyper-threaded core id

删除回忆录丶 提交于 2019-12-03 09:26:50
问题 I spent this morning trying to find out how to determine which processor id is the hyper-threaded core, but without luck. I wish to find out this information and use set_affinity() to bind a process to hyper-threaded thread or non-hyper-threaded thread to profile its performance. 回答1: I discovered the simply trick to do what I need. cat /sys/devices/system/cpu/cpu0/topology/thread_siblings_list If the first number is equal to the CPU number (0 in this example) then it's a real core, if not it

Why does multiprocessing use only a single core after I import numpy?

匿名 (未验证) 提交于 2019-12-03 08:59:04
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I am not sure whether this counts more as an OS issue, but I thought I would ask here in case anyone has some insight from the Python end of things. I've been trying to parallelise a CPU-heavy for loop using joblib , but I find that instead of each worker process being assigned to a different core, I end up with all of them being assigned to the same core and no performance gain. Here's a very trivial example... from joblib import Parallel,delayed import numpy as np def testfunc(data): # some very boneheaded CPU work for nn in xrange(1000):

Set affinity with start /AFFINITY command on Windows 7

匿名 (未验证) 提交于 2019-12-03 08:57:35
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I am using the start /AFFINITY [n] [.exe] command to start an executable with the specified affinity. I have a system with 8 processors (1,2,3,4,5,6,7,8). I'd like to set the process to use all of the odd processors (1,3,5,7). I cannot figure out how to do this and would like to know if it's possible using the start command. If not, is there an alternate command-line way of doing it? The help for the start command wasn't particularly useful: AFFINITY Specifies the processor affinity mask as a hexadecimal number. The process is restricted to

To set the affinity of CPUs using C#

天涯浪子 提交于 2019-12-03 08:14:25
I have created a window application in C#.Now I want to set the CPU affinity for this application.I may have 2 processors,4 processors,8 processors or may be more than 8 processors. I want to set the cpu affinity using input from interface. How can i achieve this? How can it is possible to set the affinity using Environment.ProcessorCount? Try this: Process.GetCurrentProcess().ProcessorAffinity = (System.IntPtr)2; Here 's more about it. ProcessorAffinity represents each processor as a bit. Bit 0 represents processor one, bit 1 represents processor two, and so on. The following table shows a

Obtaining thread Core affinity in C++ 11 through pthreads

半世苍凉 提交于 2019-12-03 03:16:13
I'm trying to set core affinity (Thread #1 goes on first core, Thread #2 goes on second core, ...) while using std::thread in C++ 11. I've already searched around various topics and on the internet and it seems C++ 11 API doesn't provide such low level feature. On the other hand, pthreads come with pthread_setaffinity_np which would be useful if I could get the "pthread_t" value of my std::thread (I don't know if this is human reasonable or at least legitimate asking for it). An example program of what I'd want to have in the end is this: #include <thread> #include <pthread.h> #include

how to set CPU affinity of a particular pthread?

匿名 (未验证) 提交于 2019-12-03 03:08:02
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I'd like to specify the cpu-affinity of a particular pthread. All the references I've found so far deal with setting the cpu-affinity of a process (pid_t) not a thread (pthread_t). I tried some experiments passing pthread_t's around and as expected they fail. Am I trying to do something impossible? If not, can you send a pointer please? Thanks a million. 回答1: This is a wrapper I've made to make my life easier. Its effect is that the calling thread gets "stuck" to the core with id core_id : // core_id = 0, 1, ... n-1, where n is the system's

setting cpu affinity for linux kernel, not process [closed]

匿名 (未验证) 提交于 2019-12-03 03:06:01
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I am having a hard time finding information about how to set cpu affinity for linux kernel (with all of its loaded modules), NOT for a specific process. This is because I want the kernel to run on CPU 0 all the time to handle I/O stuff, and not do any switches to run on other 3 CPUs because it may pollute L1 and L2 caches. Thanks in advance. Nulik 回答1: Kernel work on behalf of processes will always happen on the CPU that makes the request. You can steer interrupts, though. Look at /proc/interrupts to identify the interrupts you want to move

How to prevent inheriting CPU affinity by child forked process?

匿名 (未验证) 提交于 2019-12-03 02:30:02
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I have a server process that forks many child processes. The server process has affinity to a CPU core, but I don't want that affinity to be inherited by child process (rather OS should handle where to run these processes). Is there a way to delink parent child processes with respect to cpu affinity? 回答1: You can call sched_setaffinity(2) with all bits set in CPU mask after the fork(2) and before the execve(2) . 文章来源: How to prevent inheriting CPU affinity by child forked process?

Spectral Clustering a graph in python

匿名 (未验证) 提交于 2019-12-03 02:20:02
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I'd like to cluster a graph in python using spectral clustering. Spectral clustering is a more general technique which can be applied not only to graphs, but also images, or any sort of data, however, it's considered an exceptional graph clustering technique. Sadly, I can't find examples of spectral clustering graphs in python online. Scikit Learn has two spectral clustering methods documented: SpectralClustering and spectral_clustering which seem like they're not aliases. Both of those methods mention that they could be used on graphs, but