I want to use the Hardware Performance Counters that come with the Intel and AMD x86_64 multi开发者_如何学JAVAcore processors to calculate the number of retired stores by a program. I want each thread
Is there 开发者_如何学运维anything similar to Threadscope for Erlang? Something to view how the workload is distributed across the cores, spot bottlenecks etc?You might be looking for Percept, which i
I can\'t find any info on this online... I am al开发者_高级运维so new to Prolog... It seems to me that Prolog could be highly concurrent, perhaps trying many possibilities at once when trying to match
Recently, I\'ve been working on the deployment of concurrent objects onto multicore. In a sample, I use BlockingQue开发者_运维知识库ue.take() method whose specification mentions that it is blocking. I
I am trying to add parallel computation option to an R (netresponse) package based on doMC and multicore. The开发者_开发百科 script works ok, but only on the second trial.
Following up on David Beazley\'s paper regarding Python and GIL, would it be a good practice to limit a Python program (CPython with GIL and all) to a single CPU in a Windows based multi-core system?
I\'m running a python scrip开发者_运维问答t that does some operations over a large graph, so I would like to take advantage of the 4 cores of my PC. Watching the task manager I can see that all CPUs a
Hopefully this is a better question than my previous. I have a .exe which I will be passing different parameters (file paths) to which it will then take in and parse. So I will have a loop going, loop
I found serious limitations with the code i am writing. What I am trying to do is to let my code work on a smp xeon machine with 24 hardware threads as most efficient as it could.
Maybe there\'s someone out there with the right interests that will know how to answer this. Basically the question is: What are the differences between the multiprocessing module in Python, and the p
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