Programming Language and compiler
Benchmarks

Codon VS Lua benchmarks

Current benchmark data was generated on Thu Feb 01 2024, full log can be found HERE

CONTRIBUTIONS are WELCOME!

[x86_64][4 cores] AMD EPYC 7763 64-Core Processor (Model 1)

* -m in a file name stands for multi-threading or multi-processing

* -i in a file name stands for direct intrinsics usage. (Usage of simd intrinsics via libraries is not counted)

* -ffi in a file name stands for non-stdlib FFI 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.)

helloworld

Input: QwQ

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
lua 1.lua 1.5ms 0.1ms 2.1MB 0ms 0ms lua 5.4.6
lua 1.lua 1.5ms 0.1ms 2.4MB 0ms 0ms luajit 2.1.0-beta3
codon 1.py 4.5ms 0.8ms 7.2MB 0ms 0ms codon 0.16.3

nbody

Input: 5000000

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
lua 4.lua 707ms 1.1ms 2.4MB 697ms 0ms luajit 2.1.0-beta3
codon 1.py 1295ms 1.9ms 7.7MB 1287ms 0ms codon 0.16.3
lua 4.lua timeout 0.0ms 2.3MB 4990ms 0ms lua 5.4.6

Input: 500000

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
lua 4.lua 76ms 2.8ms 2.4MB 63ms 0ms luajit 2.1.0-beta3
codon 1.py 140ms 2.4ms 5.8MB 127ms 0ms codon 0.16.3
lua 4.lua 1138ms 22ms 2.3MB 1127ms 0ms lua 5.4.6

nsieve

Input: 12

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
codon 1.py 406ms 0.9ms 46.5MB 390ms 0ms codon 0.16.3
codon 2.py 482ms 8.3ms 107.0MB 463ms 13ms codon 0.16.3

Input: 10

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
codon 1.py 81ms 2.0ms 17.2MB 70ms 0ms codon 0.16.3
codon 2.py 110ms 3.4ms 26.0MB 97ms 3ms codon 0.16.3