Name
Abstract | ||
|---|---|---|
One of the hot topics in graphic processing unit (GPU) research is workload scheduling. For parallel workloads with a large scale, the scheduling strategy can seriously affect system performance. To address this, the authors carry out scheduling of data transfer before workload execution scheduling, and propose an optimal scheduling algorithm for GPU workload. By hiding data transfer in workload e... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/MCSE.2018.110145709 | Computing in Science & Engineering |
Keywords | Field | DocType |
Data transfer,Graphics processing units,Optimal scheduling,Optimal matching,Scheduling algorithms | Workload scheduling,Optimal matching,Data transmission,Computer science,Workload,Scheduling (computing),Parallel computing,Computational science,Knapsack problem,Cloud computing | Journal |
Volume | Issue | ISSN |
20 | 5 | 1521-9615 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yanhua Wang | 1 | 47 | 6.35 |
| Jianzhong Qiao | 2 | 45 | 14.82 |
| Shukuan Lin | 3 | 39 | 10.96 |
| Tinglei Zhao | 4 | 0 | 0.34 |