# PolyBench ## Introduction [PolyBench](https://github.com/MatthiasJReisinger/PolyBenchC-4.2.1) is a benchmark suite of 30 numerical computations with static control flow, extracted from operations in various application domains (linear algebra computations, image processing, physics simulation, dynamic programming, statistics, etc.). **Source**: ## Building Please build iwasm and wamrc, refer to: * [Build iwasm on Linux](https://wamr.gitbook.io/document/tutorial/build-tutorial/build_wamr#linux), or [Build iwasm on MacOS](https://wamr.gitbook.io/document/tutorial/build-tutorial/build_wamr#macos) * [Build wamrc AOT compiler](https://wamr.gitbook.io/document/appendix/readme#build-wamrc-aot-compiler) And install WASI SDK, please download the [wasi-sdk release](https://github.com/WebAssembly/wasi-sdk/releases) and extract the archive to default path `/opt/wasi-sdk`. And then run `./build.sh` to build the source code, the folder `out` will be created and files will be generated under it. ## Running Run `./run_aot.sh` to test the benchmark, the native mode and iwasm aot mode will be tested for each workload, and the file `report.txt` will be generated. Run `./run_interp.sh` to test the benchmark, the native mode and iwasm interpreter mode will be tested for each workload, and the file `report.txt` will be generated. Run `./test_pgo.sh` to test the benchmark with AOT static PGO (Profile-Guided Optimization) enabled, please refer [here](https://github.com/TianlongLiang/wasm-micro-runtime/blob/main/tests/benchmarks/README.md#install-llvm-profdata) to install tool `llvm-profdata` and build `iwasm` with `cmake -DWAMR_BUILD_STATIC_PGO=1`. * For Linux, build `iwasm` with `cmake -DWAMR_BUILD_STATIC_PGO=1`, then run `./test_pgo.sh` to test the benchmark with AOT static PGO (Profile-Guided Optimization) enabled. * For Linux-sgx, similarly, build `iwasm` with `cmake -DWAMR_BUILD_STATIC_PGO=1`, then `make` in the directory `enclave-sample`. And run `./test_pgo.sh --sgx` to test the benchmark.