Name
Abstract | ||
|---|---|---|
The use of low-cost multi-core processors that target small-scale parallelism of several or several tens of processing units has recently spread to general-purpose personal computers. As part of this trend, research on converting evolutionary computation to parallel processing on multi-core processors has begun. In our research, we place importance on proposing multi-core processor architectures from the viewpoint of evolutionary computation and on proposing indices for identifying chips that exhibit high affinity with evolutionary computation from among existing multi-core processors. This paper takes a first step in this direction by focusing on local memory built into a multi-core processor and proposing a specification that allows the contents of local memory in any core to be directly accessed by any other core without using main memory. We describe a desktop comparison with single-core processors and general multi-core processors and show that a speed-up effect should be expected with the proposed specification for both fine-grain and coarse-grained parallelization techniques. We also describe an evaluation on actual multi-core processor for the case of fine-grain parallelization and show that the speed-up effect is also useful in reducing energy consumption. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/CEC.2010.5586365 | IEEE Congress on Evolutionary Computation |
Keywords | Field | DocType |
evolutionary computation,multiprocessing systems,parallel architectures,coarse-grained parallelization techniques,energy consumption,evolutionary computation,fine-grain parallelization techniques,general-purpose personal computers,local memory,low-cost multicore processors,multicore processor architectures,parallel processing,processing units,single-core processors,small-scale parallelism,speed-up effect | Computer architecture,CPU cache,Computer science,Parallel computing,Parallel processing,Distributed memory,Evolutionary computation,Energy consumption,Multi-core processor | Conference |
Citations | PageRank | References |
4 | 0.52 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mikiko Sato | 1 | 22 | 11.53 |
| Yuji Sato | 2 | 48 | 18.14 |
| Mitaro Namiki | 3 | 97 | 20.69 |