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We, at UFMG, have been working on a methodology to generate benchmarks in C. We have a working collection of benchmarks here with a bit more than 30K executable programs. Benchmarks are single functions mined from open-source repositories. We have designed a domain-specific language to generate inputs for them. We use psyche-c to infer missing types and declarations. We use kcc and AddressSanitizier to filter out as much undefined behavior as possible. We use CFGGrind to check input coverage and to count the number of instructions executed. These benchmarks can be used in many ways: to stress test compilers; to autotune predictive compilation tasks; to analyze the dynamic behavior of programs; to improve compiler optimizations; etc. We have a technical report here.
We, at UFMG, have been working on a methodology to generate benchmarks in C. We have a working collection of benchmarks here with a bit more than 30K executable programs. Benchmarks are single functions mined from open-source repositories. We have designed a domain-specific language to generate inputs for them. We use psyche-c to infer missing types and declarations. We use kcc and AddressSanitizier to filter out as much undefined behavior as possible. We use CFGGrind to check input coverage and to count the number of instructions executed. These benchmarks can be used in many ways: to stress test compilers; to autotune predictive compilation tasks; to analyze the dynamic behavior of programs; to improve compiler optimizations; etc. We have a technical report here.
We, at UFMG, have been working on a methodology to generate benchmarks in C. We have a working collection of benchmarks here with a bit more than 30K executable programs. Benchmarks are single functions mined from open-source repositories. We have designed a domain-specific language to generate inputs for them. We use psyche-c to infer missing types and declarations. We use kcc and AddressSanitizier to filter out as much undefined behavior as possible. We use CFGGrind to check input coverage and to count the number of instructions executed. These benchmarks can be used in many ways: to stress test compilers; to autotune predictive compilation tasks; to analyze the dynamic behavior of programs; to improve compiler optimizations; etc. We have a technical report here.