# Tag Info

4

Here is a way in which ParallelMap works three times faster (V9.0.1, Mac OS, Intel i7, Quad core, 8 virtual cores). The trick is to evaluate dispatch = Dispatch@rules on each kernel. I don't really have an explanation, other than the guess that the dispatch table resides wholly in each kernel's memory and the observation that when rules are distributed, ...

3

Not knowing quite what you're doing this may or may not help. I think the problem is you're turning the warnings off in the master kernel and the warnings you're seeing come from the slaves. I'd suggest... ParallelTable[Quiet[your code here],{your iterator here}] OR ParallelEvaluate[Off[NIntegrate::slwcon]; ParallelTable[your code here, {your iterator ...

2

Since no one make the answer, I tried to answer my own question. Now, Suppose your HPC has nodes named as hp001,hp002,hp003,..., and you have successfully requested three of them, that is hp001,hp002,hp003. And suppose that you are performing parallel calculation that will consume memory resources heavily. So you can't not parallel the evaluation to each ...

1

For anyone coming here looking for how to get rid of seemingly garbage messages like this when running parallel kernels in -script mode: StringForm[From 1:, ParallelKernelskernel[ParallelKernelsPrivatebk[ SubKernelsLocalKernelslocalKernel[SubKernelsLocalKernelsPrivatelk[ LinkObject[/usr/local/Wolfram/Mathematica/9/Executables/math -subkernel ...

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