Low energy consumptions are extremely important in real-time embedded systems, and scheduling is one of the techniques used to obtain lower energy consumptions. In this paper, we ...
Ying Chen, Zili Shao, Qingfeng Zhuge, Chun Xue, Bi...
Scientific applications require sophisticated data management capabilities. We present the design and implementation of a Data Replication Service (DRS), one of a planned set of h...
Ann L. Chervenak, Robert Schuler, Carl Kesselman, ...
This paper describes our approaches to raise the level of abstraction at which hardware suitable for accelerating computationally-intensive applications can be specified. Field-Pr...
Qiang Liu, George A. Constantinides, Konstantinos ...
Implicitcoscheduling is a distributed algorithm fortime-sharing communicating processes in a cluster of workstations. By observing and reacting to implicit information, local sche...
Andrea C. Arpaci-Dusseau, David E. Culler, Alan M....
Given several related learning tasks, we propose a nonparametric Bayesian model that captures task relatedness by assuming that the task parameters (i.e., predictors) share a late...