Codon VS Wasm benchmarks

Current benchmark data was generated on Tue Mar 25 2025, 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
wasm 1.rs 7.0ms 0.7ms 17.4MB 0ms 0ms wasmtime 31.0.0
codon 1-m.py 11ms 0.7ms 8.6MB 20ms 0ms codon 0.18.2

nbody

Input: 5000000

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
wasm 1.rs 411ms 4.6ms 17.1MB 400ms 0ms wasmtime 31.0.0
wasm 2.rs 583ms 2.7ms 17.0MB 570ms 0ms wasmtime 31.0.0
codon 1.py 1322ms 1.2ms 8.8MB 1630ms 0ms codon 0.18.2

Input: 500000

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
wasm 1.rs 49ms 0.3ms 17.2MB 37ms 0ms wasmtime 31.0.0
wasm 2.rs 66ms 0.5ms 17.0MB 53ms 0ms wasmtime 31.0.0
codon 1-m.py 176ms 3.4ms 9.0MB 487ms 0ms codon 0.18.2

nsieve

Input: 12

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
wasm 2.rs 400ms 1.6ms 22.0MB 387ms 0ms wasmtime 31.0.0
codon 1-m.py 461ms 8.3ms 47.7MB 763ms 0ms codon 0.18.2
wasm 1.rs 520ms 6.4ms 56.1MB 507ms 3ms wasmtime 31.0.0
codon 2.py 1572ms 19ms 100.8MB 1877ms 27ms codon 0.18.2

Input: 10

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
wasm 1.rs 96ms 1.4ms 27.0MB 80ms 0ms wasmtime 31.0.0
wasm 2.rs 101ms 0.5ms 18.4MB 90ms 0ms wasmtime 31.0.0
codon 1-m.py 125ms 0.2ms 18.6MB 430ms 0ms codon 0.18.2
codon 2-m.py 397ms 1.3ms 27.1MB 707ms 3ms codon 0.18.2