This paper presents a comprehensive statistical analysis of workloads collected on data-intensive clusters and Grids. The analysis is conducted at different levels, including Virt...
We present an overview of an ongoing project to build a DDDAS for identifying and tracking chemicals in water. The project involves a new class of intelligent sensor, building a li...
Craig C. Douglas, Martin J. Cole, Paul Dostert, Ya...
Simulations, experiments and observatories are generating a deluge of scientific data. Even more staggering is the ever growing application demand to process and assimilate these...
Sudharshan S. Vazhkudai, Douglas Thain, Xiaosong M...
Despite voluminous previous research on adaptive compression, we found significant challenges when attempting to fully utilize both network bandwidth and CPU. We describe the Fine...
Current processors exploit out-of-order execution and branch prediction to improve instruction level parallelism. When a branch prediction is wrong, processors flush the pipeline ...