Microbenchmarks
Microbenchmarks comparing the Julia Programming language with other languages
Install / Use
/learn @JuliaLang/MicrobenchmarksREADME
Microbenchmarks
A collection of micro-benchmarks comparing Julia's performance against other languages.
Benchmarks
All benchmarks implement identical algorithms across languages (serial, single-core). Times are normalized relative to C.
| Benchmark | Description |
|:----------|:------------|
| iteration_pi_sum | Alternating power-series summation (nested loops) |
| recursion_fibonacci | Doubly-recursive Fibonacci(20) |
| recursion_quicksort | Quicksort on 5,000 random numbers |
| parse_integers | Parse 1,000 random hex strings to integers |
| print_to_file | Write 100,000 formatted lines to /dev/null |
| matrix_statistics | Statistics on random 5x5 matrices (1,000 iterations) |
| matrix_multiply | Multiply two random 1,000x1,000 matrices (BLAS) |
| userfunc_mandelbrot | Mandelbrot set computation over a grid |
Languages
Mathematica and Matlab benchmarks are available but not run in CI.
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