parallel-processing

“Emergency” termination of omnithread IOmniParallelTask

这一生的挚爱 提交于 2021-02-08 06:50:21
问题 Background I have a unit test in which I check if my handler code code performs well during multi-thread stress: procedure TestAppProgress.TestLoopedAppProgressRelease_SubThread; begin var bt:=Parallel.ParallelTask.NumTasks(1).NoWait.Execute( procedure begin SetWin32ThreadName('TestLoopedAppProgressRelease_SubThread'); RunLoopedAppProgressRelease; end ); lSuccess:=bt.WaitFor(cRunLoopTimerMilliSecs*2); if not lSuccess then bt.Terminate; // emergency termination, unit test failed <<< How do I

How to get the exit status of multiple parallel background processes in bash [duplicate]

◇◆丶佛笑我妖孽 提交于 2021-02-08 06:11:48
问题 This question already has answers here : How to wait in bash for several subprocesses to finish and return exit code !=0 when any subprocess ends with code !=0? (31 answers) Closed 3 years ago . In Bash, I want to call a command multiple times in parallel, while capturing all the processes exit codes. I know how to start and wait for them, but wait will only give me the exit code of the last process exiting. I also need the exit code of the shorter lived processes. Unfortunately I don't have

How to get the exit status of multiple parallel background processes in bash [duplicate]

孤街醉人 提交于 2021-02-08 06:04:28
问题 This question already has answers here : How to wait in bash for several subprocesses to finish and return exit code !=0 when any subprocess ends with code !=0? (31 answers) Closed 3 years ago . In Bash, I want to call a command multiple times in parallel, while capturing all the processes exit codes. I know how to start and wait for them, but wait will only give me the exit code of the last process exiting. I also need the exit code of the shorter lived processes. Unfortunately I don't have

Fork-join model implementation for Python? (Equivalent to Java's ForkJoinPool)

谁都会走 提交于 2021-02-07 21:01:39
问题 I am looking for an implementation of the fork-join model for Python. As Java's ForkJoinPool, it should allow to split (fork) the work of a task into several sub tasks recursively. Once the sub tasks are completed, the results are joined and returned. Ideally, it should support threads and processes similar to the ThreadPoolExecutor and ProcessPoolExecutor in concurrent.futures, but threads are more important for now. It must allow to limit the number of threads (I want to have one thread per

Fork-join model implementation for Python? (Equivalent to Java's ForkJoinPool)

你说的曾经没有我的故事 提交于 2021-02-07 21:01:30
问题 I am looking for an implementation of the fork-join model for Python. As Java's ForkJoinPool, it should allow to split (fork) the work of a task into several sub tasks recursively. Once the sub tasks are completed, the results are joined and returned. Ideally, it should support threads and processes similar to the ThreadPoolExecutor and ProcessPoolExecutor in concurrent.futures, but threads are more important for now. It must allow to limit the number of threads (I want to have one thread per

Fork-join model implementation for Python? (Equivalent to Java's ForkJoinPool)

只愿长相守 提交于 2021-02-07 21:00:53
问题 I am looking for an implementation of the fork-join model for Python. As Java's ForkJoinPool, it should allow to split (fork) the work of a task into several sub tasks recursively. Once the sub tasks are completed, the results are joined and returned. Ideally, it should support threads and processes similar to the ThreadPoolExecutor and ProcessPoolExecutor in concurrent.futures, but threads are more important for now. It must allow to limit the number of threads (I want to have one thread per

Multiprocessing slower than serial processing in Windows (but not in Linux)

时光毁灭记忆、已成空白 提交于 2021-02-07 13:56:12
问题 I'm trying to parallelize a for loop to speed-up my code, since the loop processing operations are all independent. Following online tutorials, it seems the standard multiprocessing library in Python is a good start, and I've got this working for basic examples. However, for my actual use case, I find that parallel processing (using a dual core machine) is actually a little (<5%) slower, when run on Windows. Running the same code on Linux, however, results in a parallel processing speed-up of

How can I optimize parallel sorting to improve temporal performance?

亡梦爱人 提交于 2021-02-07 11:54:08
问题 I have an algorithm for parallel sorting a list of a given length: import Control.Parallel (par, pseq) import Data.Time.Clock (diffUTCTime, getCurrentTime) import System.Environment (getArgs) import System.Random (StdGen, getStdGen, randoms) parSort :: (Ord a) => [a] -> [a] parSort (x:xs) = force greater `par` (force lesser `pseq` (lesser ++ x:greater)) where lesser = parSort [y | y <- xs, y < x] greater = parSort [y | y <- xs, y >= x] parSort _ = [] sort :: (Ord a) => [a] -> [a] sort (x:xs)

What are the common characteristics in occam and csp?

回眸只為那壹抹淺笑 提交于 2021-02-07 09:41:22
问题 I saw a question while I was studying for OCCAM and CSP ( Communicating Sequential Processes ). I found some basic answers like; they both for parallel programming, they get input with question mark(?), send output with exclamation mark(!). But I want to find out more technical details about their common features. 回答1: On CSP Hoare's CSP was completed during 1979 ~ 1984, when his Book on CSP ( today having some 260+ pages ) was first published in 1985. This final version of CSP also includes