— We consider memory subsystem optimizations for improving the performance of sparse scientific computation while reducing the power consumed by the CPU and memory. We first co...
This paper proposes the study of a new computation model that attempts to address the underlying sources of performance degradation (e.g. latency, overhead, and starvation) and th...
Guang R. Gao, Thomas L. Sterling, Rick Stevens, Ma...
Grid computing is becoming a mainstream technology for large-scale distributed resource sharing and system integration. Workflow management is emerging as one of the most importan...
Junwei Cao, Stephen A. Jarvis, Subhash Saini, Grah...
Dynamically allocating computing nodes to parallel applications is a promising technique for improving the utilization of cluster resources. We introduce the concept of dynamic ef...
In this paper, we describe a prototype software framework that implements a formalized methodology for partitioning computational intensive applications between reconfigurable har...
Michalis D. Galanis, Athanasios Milidonis, George ...