Name
Abstract | ||
|---|---|---|
To exploit the full performance potential of multicore desktops, the authors propose an approach that combines cache optimization, parallelization, simdization, and autotuning in a single framework. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/MS.2011.2 | IEEE Software |
Keywords | DocType | Volume |
microcomputers,different core,average speed,desktop pcs,intel compiler,cache optimization,vectorization,simd parallelism,cache locality,simdization,intel nehalem,multiprocessing systems,synergetic approach,x86-based multicore desktops,throughput computing,multicore,computational kernel,data crunching,autotuning,intel software autotuning tool,cache-oblivious algorithms,cache-oblivious technique,parallelization,throughput,multicore processing,data models,parallel processing,cache oblivious algorithms,tuning | Journal | 28 |
Issue | ISSN | Citations |
1 | 0740-7459 | 9 |
PageRank | References | Authors |
0.54 | 10 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chi-Keung Luk | 1 | 2537 | 116.49 |
| Ryan R Newton | 2 | 10 | 0.91 |
| William Hasenplaugh | 3 | 192 | 8.87 |
| Mark Hampton | 4 | 9 | 0.54 |
| Geoff Lowney | 5 | 2140 | 136.12 |