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NLEIGS MATLAB vs Julia
maxbennedich edited this page Nov 17, 2018
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MacBook Pro, Intel i7-6920HQ, 2.90GHz, 2x4 cores, 16 GB memory
MATLAB: v8.4.0 (R2014b)
Julia: v1.0.2
MATLAB: v0.5 from this page
Julia: master branch as of 2018-11-15 (commit 44a2fc6)
Each experiment was run 10 times, with minimum display level, and the fastest run is reported. Only the solver is timed, not creating the input data.
In MATLAB, memory usage was measured by summing up all the variables at the end of solver (mem = 0; for w = whos'; mem = mem + w.bytes; end
), including the cached LU factors (in Alu
).
In Julia,
Number of iterations required for convergence may vary a bit due to different start vectors and tiny rounding errors that build up over time.
Version | Experiment | # Iter | # Conv. λ | CPU time | Memory usage |
---|---|---|---|---|---|
MATLAB | gun_variantP | 100 | 17 | 7.14 s | 420 MB |
Julia | gun_variantP | 100 | 17 | 4.33 s | 58.9 MB |
MATLAB | gun_variantR1 | 100 | 21 | 7.73 s | 421 MB |
Julia | gun_variantR1 | 100 | 21 | 4.26 s | 58.9 MB |
MATLAB | gun_variantR2 | 95 | 21 | 22.69 s | 413 MB |
Julia | gun_variantR2 | 95 | 21 | 14.10 s | 51.1 MB |
MATLAB | gun_variantS | 70 | 21 | 5.95 s | 408 MB |
Julia | gun_variantS | 71 | 21 | 3.92 s | 46.4 MB |
MATLAB | particle_variantR2 | 78 | 2 | 19.67 s | 213 MB |
Julia | particle_variantR2 | 74 | 2 | 8.71 s | 73.3 MB |
MATLAB | particle_variantS | 141 | 2 | 15.05 s | 239 MB |
Julia | particle_variantS | 134 | 2 | 6.51 s | 91.9 MB |