Automated Techniques for Performance Evaluation of Parallel Systems
نویسندگان
چکیده
Benchmarking and performance evaluation of high performance computing are a continuously on-going process that consumes significant staff time and generates large amounts of data to be stored and analyzed. The goal of this work is to propose an automated method to generate, capture and analyze an extensive performance profile. Although our initial efforts focus on commodity clusters, they are applicable to any parallel or distributed high performance computing system. Such an automated system has three main components: (1) a data collection and storage module, (2) a data analysis module, and (3) a run-time execution module. The focus of this report is on the data collection and storage module.
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