Programming Language and compiler
Benchmarks

Julia VS Chapel benchmarks

Current benchmark data was generated on Thu Jul 13 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
chapel 1.chpl 17ms 0.6ms 32.3MB 10ms 0ms chpl 1.31.0
julia 1.jl 200ms 0.6ms 216.9MB 112ms 76ms julia/aot 1.9.2

nbody

Input: 5000000

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
chapel 2.chpl 363ms 1.0ms 32.3MB 353ms 3ms chpl 1.31.0
julia 7.jl 600ms 25ms 223.1MB 523ms 63ms julia/aot 1.9.2

Input: 500000

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
chapel 2.chpl 55ms 1.2ms 32.3MB 47ms 3ms chpl 1.31.0
julia 7.jl 281ms 4.9ms 223.1MB 193ms 73ms julia/aot 1.9.2

nsieve

Input: 12

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
julia 1.jl 441ms 3.7ms 206.9MB 367ms 60ms julia/aot 1.9.2

Input: 10

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
julia 1.jl 236ms 5.2ms 200.7MB 150ms 70ms julia/aot 1.9.2