Excessive power consumption is becoming a major barrier to extracting the maximum performance from high-performance parallel systems. Therefore, techniques oriented towards reduci...
Learning useful and predictable features from past workloads and exploiting them well is a major source of improvement in many operating system problems. We review known parallel ...
Previous studies have shown that array regrouping and structure splitting significantly improve data locality. The most effective technique relies on profiling every access to eve...
Supercomputer architects strive to maximize the performance of scientific applications. Unfortunately, the large, unwieldy nature of most scientific applications has lead to the...
Richard C. Murphy, Arun Rodrigues, Peter M. Kogge,...
As parallel jobs get bigger in size and finer in granularity, “system noise” is increasingly becoming a problem. In fact, fine-grained jobs on clusters with thousands of SMP...
Dan Tsafrir, Yoav Etsion, Dror G. Feitelson, Scott...