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Automatic Benchmark Profiling Through Advanced Trace Analysis
[chapter]
2016
Lecture Notes in Computer Science
Benchmarking has proven to be crucial for the investigation of the behavior and performances of a system. However, the choice of relevant benchmarks still remains a challenge. To help the process of comparing and choosing among benchmarks, we propose a solution for automatic benchmark profiling. It computes unified benchmark profiles reflecting benchmarks' duration, function repartition, stability, CPU efficiency, parallelization and memory usage. It identifies the needed system information for
doi:10.1007/978-3-319-43659-3_5
fatcat:2zqdn45binemrewmouuhwwfa6e