How non-trivial should a computation be to make it reasonable to get it sparked for a parallel execu...

Negative speed up in Amdahl's law?...

Why does the get() operation in multiprocessing.Pool.map_async take so long?...

How to run a parallel function inside a serial one in Python?...

Calculating the maximum speedup with parallelization...

What is Gustafson's law trying to argue?...

Evaluating methods in parallel...

How to find an optimum number of processes in GridSearchCV( ..., n_jobs = ... )?...

How to apply Amdahl's law on a given piece of code?...

N-jobs on M-machines with Precedence Graph and different execution times...

Processor Speedup Calculation Difference...

If my 8 core CPU supports 16 threads, would 16 be a better number than 8 for number of processes in ...

How to measure OMP time with OMP tasks & recursive task workloads?...

Efficient collection and transfer of scattered sub-arrays in Chapel...

Should I change my original Python/Tensorflow code to make it run faster on HPC?...

Predicting Parallel Performance of Differential Evolution in Python...

Parallel computing: how to share computing resources among users?...

Optimisation tips to find in which triangle a point belongs...

CyclicDist goes slower on multiple locales...

Chapel-Python integration questions...

OpenMP benchmarking parallel computations...

Intel TBB flowgraph overhead...

Optimal way to prepare data for Dask distributed client...

Why does Dask perform so slower while multiprocessing perform so much faster?...

Parallelize process of generating combinations...

Will we see an expected speedup in Chapel if running "inside" VMs?...

pathos: parallel processing options - Could someone explain the differences?...

OpenMP - Random running time - why having so high run-time variance?...

Non-trivial recoding: How to speed up my program? Cython, numba, multiprocessing and numpy?...

Measure parallel speedup in randomized-algorithms...