Value prediction exploits localities in value streams. Previous research focused on exploiting two types of value localities, computational and context-based, in the local value h...
Feature ranking is a fundamental machine learning task with various applications, including feature selection and decision tree learning. We describe and analyze a new feature ran...
Data prefetching effectively reduces the negative effects of long load latencies on the performance of modern processors. Hardware prefetchers employ hardware structures to predic...
Jamison D. Collins, Suleyman Sair, Brad Calder, De...
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
Thread-level speculation (TLS) allows potentially dependent threads to speculatively execute in parallel, thus making it easier for the compiler to extract parallel threads. Howeve...