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,...
Ajay M. Joshi, Lieven Eeckhout, Lizy Kurian John,