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FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning
Experimental results on benchmark circuits show that our approach achieves 25% improvement in design quality or 37% reduction in sampling cost compared to random forest method, which is the kernel of a highly cited previous work.
Automatic Microprocessor Performance Bug Detection
Design bugs that affect processor performance rather than its functionality are especially difficult to catch, particularly in new microarchitectures.
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