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I\'m using log4net in my project and there is one problem. The major function of the program takes a long time and I use logging to save information about it. I use FileAppender for saving log to file
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Currently we have a batch driven process at work which runs every 15 mins and everytime it runs it repeats this cycle several times:
I am using the C# 4.0 AsParallel() extension method and getting an UnAut开发者_StackOverflow社区horizedAccessException when accessing the file system
I\'m implementing a parellel quicksort as programming practice, and after I finished, I read the Java tutorial page on Executors, which sound like they could make my code even faster. Unfortunately, I
I have a question about the following code sample (m_value isn\'t volatile, and every thread runs on a separate processor)
I am brainstorming an idea of developing a high level software to manipulate matrix algebra equations, tensor manipulations to be exact, to produce optimized C++ code using several criteria such as si
I have around 100 computers and few workers on each of them. The already connect to a central database to query for job parameters.
I am wondering if anyone could suggest the best approach to computing the mean / standard deviation of a large number of relatively small but differently sized arrays in CUDA?
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