ok, so I\'m doing ProjectEuler Problem #14, and I\'m fiddling around with optimizations in order to feel f# out.
From hard experience I\'ve found it useful t开发者_Python百科o occasionally save the state of my long computations to disk to start them up later if something fails.Can I do this in a distributed comp
I have a list of starting data. I want to apply a function to the starting data that creates a few pieces of new data for each element in the starting data. Some pieces of the new data are the same an
It's difficult to tell what is being asked 开发者_C百科here. This question is ambiguous, vague, incomplete, overly broad, or rhetorical andcannot be reasonably answered in its current form. Fo
I have a high-end architecture which receives many requests every second (in fact, it can receive many requests every millisecond). The architecture is designed so that some controls rely on a certain
I was just wondering if there\'s any field which concerns the task-control programming (or at least that\'s the way I call it).
I\'m using a time_t variable in C (openMP enviroment) to keep cpu execution time...I define a float value sum_tot_time to sum time for all cpu\'s...I mea开发者_运维知识库n sum_tot_time is the sum of c
I\'d like to parallelize my Python program so that it can make use of multiple processors on the machine that it runs on.My parallelization is very simple, in that all the parallel \"threads\" of the
I have a nested loop that I\'m using foreach, DoSNOW, and a SNOW socket cluster to solve for. How should I go about profiling the code to make sure I\'m not doing something grossly inefficient.
I\'m experimenting with filtering through elements in parallel. For each element, I need to perform a distance calculation to see if it is close enough to a target point. Never mind that data structur
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