C++ vs Python: Performance Benchmark Comparison
Summary
This article presents benchmark comparisons between C++ and Python, focusing on performance metrics across various test programs (fannkuch-redux, nbody, nsieve, spectral-norm). It includes notes on file naming conventions indicating multi-threading, intrinsics usage, and FFI usage, as well as caveats about timing measurements for non-parallelized programs with GC or JIT overhead.
Source
bskyC++ vs Python: Performance Benchmark Comparisonprogramming-language-benchmarks.vercel.appKey quotes
· 3 pulled-m in a file name stands for multi-threading or multi-processing
-i in a file name stands for direct intrinsics usage
(You may find time < time(user) + time(sys) for some non-parallelized programs, the overhead is from GC or JIT compiler, which are allowed to take advantage of multi-cores as that's more close to real-world scenarios.)
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