Recently, graphics processing units, or GPUs, have become a viable alternative as commodity, parallel hardware for generalpurpose computing, due to their massive data-parallelism,...
Ke Yang, Bingsheng He, Rui Fang, Mian Lu, Naga K. ...
Grid Workflows are emerging as practical programming models for solving large e-scientific problems on the Grid. However, it is typically assumed that the workflow components eith...
A key challenge faced by large-scale, distributed applications in Grid environments is efficient, seamless data management. In particular, for applications that can benefit from a...
Jithendar Paladugula, Ming Zhao 0002, Renato J. O....
Replication is a technique used in Data Grid environments that helps to reduce access latency and network bandwidth utilization. Replication also increases data availability thereb...
Grid computing provides a very rich environment for scientific calculations. In addition to the challenges it provides, it also offers new opportunities for optimization. In this ...
Bingchen Li, Kang Chen, Zhiteng Huang, H. L. Rajic...