High-Performance Data-Intensive Computing

We published this unclassified unlimited release (UUR) article.

Abstract

Data-intensive problems challenge conventional computing architectures with demanding CPU, memory, and I/O requirements. Experiments with three benchmarks suggest that emerging hardware technologies can significantly boost performance of a wide range of applications by increasing compute cycles and bandwidth and reducing latency.

Publication

• IEEE Computer Paper Maya Gokhale, Jonathan Cohen, Andy Yoo, W. Marcus Miller, Arpith Jacob, Craig Ulmer, and Roger Pearce, "Hardware Technologies for High-Performance Data-Intensive Computing", in IEEE Computer vol. 41, Issue 4, April 2008.