Codon VS Lua benchmarks

Current benchmark data was generated on Sun Jan 29 2023, full log can be found HERE

CONTRIBUTIONS are WELCOME!

[x86_64][2 cores] Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz (Model 106)

* -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 1.9ms 0.5ms 2.5MB 0ms 0ms luajit 2.1.0-beta3
lua 1.lua 2.4ms 0.9ms 1.5MB 0ms 0ms lua 5.4.4
codon 1.py 4.1ms 0.8ms 5.3MB 0ms 0ms codon 0.15.4

nbody

Input: 5000000

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
lua 4.lua 1104ms 10ms 1.5MB 1093ms 0ms luajit 2.1.0-beta3
codon 1.py 1947ms 23ms 5.3MB 1933ms 0ms codon 0.15.4
lua 4.lua timeout 0.0ms 1.5MB 4990ms 0ms lua 5.4.4

Input: 500000

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
lua 4.lua 114ms 1.8ms 2.3MB 100ms 0ms luajit 2.1.0-beta3
codon 1.py 197ms 0.8ms 5.3MB 187ms 0ms codon 0.15.4
lua 4.lua 1204ms 27ms 1.4MB 1190ms 0ms lua 5.4.4

nsieve

Input: 12

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
codon 1.py 873ms 79ms 48.3MB 850ms 3ms codon 0.15.4
codon 2.py 1003ms 24ms 106.7MB 977ms 13ms codon 0.15.4

Input: 10

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
codon 1.py 150ms 0.2ms 15.1MB 133ms 3ms codon 0.15.4
codon 2.py 185ms 3.8ms 23.9MB 173ms 3ms codon 0.15.4