Abstract | ||
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Recently, many applications can be parallelized by using multicore platforms. In this paper, we propose a load balancing technique in parallelizing an application whose first module has data independency and its second module has data dependency. Instead of distributing the first module symmetrically over the multi-core platform, we distribute the workload asymmetrically. Based on the experimental results with compression/encryption application, we confirm that the asymmetric load balancing can provide a better performance than Amdahl's law computed with the typical symmetric load balancing. |
Year | DOI | Venue |
---|---|---|
2012 | 10.1007/978-3-642-32692-9_58 | Communications in Computer and Information Science |
Keywords | Field | DocType |
multicore,Amdahl's law,load balancing | Data dependency,Workload,Computer science,Load balancing (computing),Amdahl's law,Parallel computing,Encryption,Multi-core processor,Distributed computing | Conference |
Volume | ISSN | Citations |
310 | 1865-0929 | 0 |
PageRank | References | Authors |
0.34 | 6 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Heegon Kim | 1 | 15 | 7.69 |
Sung-Ju Lee | 2 | 3511 | 278.11 |
Yongwha Chung | 3 | 233 | 47.32 |