Programming Language and compiler
Benchmarks

Codon VS Kotlin benchmarks

Current benchmark data was generated on Sat Nov 16 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
kotlin 1.kt 2.3ms 0.2ms 4.7MB 0ms 0ms kotlin/native 1.8.21
codon 1.py 4.6ms 0.6ms 7.4MB 0ms 0ms codon 0.17.0
kotlin 1.kt 55ms 4.0ms 47.5MB 58ms 14ms kotlin/jvm 21

nbody

Input: 5000000

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
kotlin 1n.kt 407ms 3.5ms 4.6MB 397ms 0ms kotlin/native 1.8.21
kotlin 1.kt 443ms 2.0ms 49.1MB 483ms 17ms kotlin/jvm 21
codon 1.py 1302ms 15ms 7.9MB 1287ms 0ms codon 0.17.0

Input: 500000

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
kotlin 1n.kt 45ms 1.6ms 4.6MB 33ms 0ms kotlin/native 1.8.21
kotlin 1.kt 118ms 1.0ms 49.6MB 160ms 17ms kotlin/jvm 21
codon 1.py 136ms 1.4ms 7.9MB 130ms 0ms codon 0.17.0

nsieve

Input: 12

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
codon 1.py 374ms 2.0ms 46.6MB 357ms 0ms codon 0.17.0
codon 2.py 856ms 4.9ms 99.8MB 833ms 20ms codon 0.17.0

Input: 10

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
codon 1.py 73ms 2.7ms 17.3MB 60ms 0ms codon 0.17.0
codon 2.py 197ms 1.6ms 25.6MB 187ms 3ms codon 0.17.0