parallel-processing

问题 I'm writing a Python program that will load a wordlist from a text file and then try unzipping an archive with each word. It wouldn't be serious if it didn't make use of all cpu cores. Because of the GIL, threading in Python isn't a great option if I'm not mistaken. So I want to get the number of cpu_cores, split the wordlist and use the multiprocessing.process module to process different parts of the wordlist in different processes. But would every process get pinned to a cpu core

问题 I have the task of translating a list of dependent nodes into AWS Step Functions. The AWS Step Function definition allows for parallel branches or even branches nested to multiple levels deep. Unfortunately it does not support dependencies between tasks in the branches and therefore forces you to complete the parallel step before both results are available to subsequent tasks in the step function. In my diagram delow a simple parallel branch like shown in Graph 1 is easily supported by Step

问题 I have the task of translating a list of dependent nodes into AWS Step Functions. The AWS Step Function definition allows for parallel branches or even branches nested to multiple levels deep. Unfortunately it does not support dependencies between tasks in the branches and therefore forces you to complete the parallel step before both results are available to subsequent tasks in the step function. In my diagram delow a simple parallel branch like shown in Graph 1 is easily supported by Step

问题 I have the task of translating a list of dependent nodes into AWS Step Functions. The AWS Step Function definition allows for parallel branches or even branches nested to multiple levels deep. Unfortunately it does not support dependencies between tasks in the branches and therefore forces you to complete the parallel step before both results are available to subsequent tasks in the step function. In my diagram delow a simple parallel branch like shown in Graph 1 is easily supported by Step

问题 So I have a list from which I obtain a parallel stream to fill out a map, as follows: Map<Integer, TreeNode> map = new HashMap<>(); List<NodeData> list = some_filled_list; //Putting data from the list into the map list.parallelStream().forEach(d -> { TreeNode node = new TreeNode(d); map.put(node.getId(), node); }); //print out map map.entrySet().stream().forEach(entry -> { System.out.println("Processing node with ID = " + entry.getValue().getId()); }); The problem with this code is that the

问题 So I have a list from which I obtain a parallel stream to fill out a map, as follows: Map<Integer, TreeNode> map = new HashMap<>(); List<NodeData> list = some_filled_list; //Putting data from the list into the map list.parallelStream().forEach(d -> { TreeNode node = new TreeNode(d); map.put(node.getId(), node); }); //print out map map.entrySet().stream().forEach(entry -> { System.out.println("Processing node with ID = " + entry.getValue().getId()); }); The problem with this code is that the

问题 I have a function foo which consumes a lot of memory and which I would like to run several instances of in parallel. Suppose I have a CPU with 4 physical cores, each with two logical cores. My system has enough memory to accommodate 4 instances of foo in parallel but not 8. Moreover, since 4 of these 8 cores are logical ones anyway, I also do not expect using all 8 cores will provide much gains above and beyond using the 4 physical ones only. So I want to run foo on the 4 physical cores only

问题 I am trying to use someone else's code and there is this line in it: if (m<100) || (matlabpool('size')==0) I am using MATLAB R2016a, so this command fails. What is the equivalent of matlabpool('size') in the new version? I know that matlabpool is replaced by parpool . But what does matlabpool('size') do specifically? It doesn't actually create the parallel workers. 回答1: As per the change log: matlabpool function removed The matlabpool function has been removed. Compatibility Considerations

问题 I am trying to use someone else's code and there is this line in it: if (m<100) || (matlabpool('size')==0) I am using MATLAB R2016a, so this command fails. What is the equivalent of matlabpool('size') in the new version? I know that matlabpool is replaced by parpool . But what does matlabpool('size') do specifically? It doesn't actually create the parallel workers. 回答1: As per the change log: matlabpool function removed The matlabpool function has been removed. Compatibility Considerations

问题 Question : I would like to know if it's possible to do parallel browsing with the testing framework in one script file , so with the tester module and casperjs test command. I've seen some people create two casper instances : CasperJS simultaneous requests and https://groups.google.com/forum/#!topic/casperjs/Scx4Cjqp7hE , but as said in the doc, we can't create new casper instance in a test script. So i tried doing something similar-simple example- with a casper testing script (just copy and