Progress of Ruby/Numo: Numerical Computing for Ruby
summary
Numo (new NArray) reimplements NArray with views, broadcasting, and masking and provides working wrappers for BLAS/LAPACK, GSL, FFTW/FFTE, and a Gnuplot interface. Coverage hits about 217 of NumPy’s ~363 core array functions; microbenchmarks show Numo’s C-level array ops are ~230× faster than Ruby loops and competitive with NumPy in some cases, while nmatrix is 100–10,000× slower. BLAS/LAPACK use dynamic backends (OpenBLAS/Intel MKL), GSL wrappers are auto-generated, FFT wrappers exist, but many functions, tests and docs remain unfinished.
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chapters (11)
- 0:00Introduction and background
- 4:59History and evolution of NArray
- 7:13NArray features and advantages
- 12:10NArray key functionalities
- 15:44Comparison with Matrix library
- 18:45New Mo's linear algebra module
- 21:55New Mo's GSL wrapper
- 24:59New Mo's FFT wrappers
- 25:42New Mo's plotting interface
- 27:10Progress and future of New Mo
- 33:15Conclusion and call for collaboration
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