Name
Abstract | ||
|---|---|---|
This work presents a dynamic scheduling approach used to load balance the computation between CPU and GPU of an Accelerated Processing Unit (APU). The results have shown that the dynamic load balancing strategy was successful in reducing the computation time of an Human Immune System (HIS) simulator that was used as benchmark. The dynamic scheduling approach accelerate the HIS code up to 7 times when compared to the parallel version that executes using only the CPU cores, up to 32% when compared to the parallel version that uses only the GPU cores, and up to 9% when compared to our previous static scheduling approach. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-26928-3_9 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Load balancing,OpenCL,APUs | Central processing unit,Scheduling (computing),Computer science,Load balancing (computing),Parallel computing,Dynamic load balancing,Dynamic priority scheduling,Accelerated processing unit,Computation | Conference |
Volume | ISSN | Citations |
565 | 1865-0929 | 0 |
PageRank | References | Authors |
0.34 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tiago Marques do Nascimento | 1 | 0 | 0.34 |
| weber dos santos r | 2 | 199 | 44.90 |
| Marcelo Lobosco | 3 | 95 | 24.89 |