Codon VS Wasm benchmarks

Current benchmark data was generated on Tue Dec 31 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
codon 1.py 4.0ms 0.7ms 7.1MB 0ms 0ms codon 0.17.0
wasm 1.rs 6.5ms 0.4ms 19.4MB 0ms 0ms wasmtime 28.0.0

nbody

Input: 5000000

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
wasm 1.rs 376ms 1.9ms 18.8MB 363ms 0ms wasmtime 28.0.0
wasm 2.rs 550ms 2.4ms 18.8MB 537ms 3ms wasmtime 28.0.0
codon 1.py 1232ms 11ms 5.8MB 1220ms 0ms codon 0.17.0

Input: 500000

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
wasm 1.rs 46ms 1.3ms 18.9MB 30ms 0ms wasmtime 28.0.0
wasm 2.rs 62ms 1.3ms 20.8MB 50ms 0ms wasmtime 28.0.0
codon 1.py 131ms 4.2ms 7.7MB 120ms 0ms codon 0.17.0

nsieve

Input: 12

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
wasm 2.rs 308ms 3.3ms 23.9MB 300ms 0ms wasmtime 28.0.0
codon 1.py 348ms 9.8ms 46.5MB 333ms 0ms codon 0.17.0
wasm 1.rs 437ms 1.5ms 58.0MB 417ms 3ms wasmtime 28.0.0
codon 2.py 805ms 5.6ms 99.9MB 790ms 13ms codon 0.17.0

Input: 10

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
codon 1.py 71ms 1.3ms 15.3MB 57ms 0ms codon 0.17.0
wasm 2.rs 80ms 0.2ms 23.9MB 70ms 0ms wasmtime 28.0.0
wasm 1.rs 90ms 2.3ms 28.7MB 77ms 3ms wasmtime 28.0.0
codon 2.py 185ms 0.8ms 25.8MB 170ms 3ms codon 0.17.0