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Automated Microprocessor Stressmark Generation (2008)
| Content Provider | CiteSeerX |
|---|---|
| Author | Joshi, Ajay M. John, Lizy K. Isen, Ciji Eeckhout, Lieven |
| Abstract | Estimating the maximum power and thermal characteristics of a processor is essential for designing its power delivery system, packaging, cooling, and power/thermal management schemes. Typical benchmark suites used in performance evaluation do not stress the processor to its limit though, and current practice in industry is to develop artificial benchmarks that are specifically written to generate maximum processor (component) activity. However, manually developing and tuning so called stressmarks is extremely tedious and time-consuming while requiring an intimate understanding of the processor. A synthetic program that can be tuned to produce a variety of benchmark characteristics would significantly help in addressing this problem by enabling the automatic exploration of the large temperature and power design space. This paper demonstrates that with a suitable choice of only 40 hardware-independent program characteristics related to the instruction mix, instruction-level parallelism, control flow behavior, and memory access patterns, it is possible to generate a synthetic benchmark whose performance relates to that of general-purpose and workload modeling approach, we propose StressMaker, a framework that uses machine learning for the automated generation of stressmarks. A comparison with an exhaustive exploration of a large power design space demonstrates that StressMaker is very effective in automatically generating stressmarks in a limited amount of time. 1. |
| File Format | |
| Publisher Date | 2008-01-01 |
| Publisher Institution | in Proceedings of International Symposium on High Performance Computer Architecture |
| Access Restriction | Open |
| Subject Keyword | Hardware-independent Program Characteristic Large Power Design Space Power Thermal Management Scheme Typical Benchmark Suite Artificial Benchmark Thermal Characteristic Benchmark Characteristic Maximum Power Current Practice Exhaustive Exploration Instruction-level Parallelism Instruction Mix Power Design Space Control Flow Behavior Automated Generation Workload Modeling Approach Automatic Exploration Synthetic Program Synthetic Benchmark Microprocessor Stressmark Generation Large Temperature Intimate Understanding Performance Evaluation Limited Amount Maximum Processor Memory Access Pattern Suitable Choice Power Delivery System |
| Content Type | Text |
| Resource Type | Proceeding |
