Name
Title | ||
|---|---|---|
First results of performance comparisons on many-core processors in solving QAP with ACO: kepler GPU versus xeon PHI |
Abstract | ||
|---|---|---|
This paper compares the performance of parallel computation on two types of many-core processors, Tesla K20c GPU and Xeon Phi 5110P, in solving the quadratic assignment problem (QAP) with ant colony optimization (ACO). The results show that the performance on Xeon Phi 5110P is not so promising compared to the Tesla K20c GPU on these problems. Further efficient implementation methods must be investigated for Xeon Phi. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2598394.2602274 | GECCO (Companion) |
Keywords | Field | DocType |
plan execution, formation, and generation,gpu,scheduling,tabu search,qap,aco,parallel ea,xeon phi,heuristic methods | Ant colony optimization algorithms,Computer science,Quadratic assignment problem,Xeon Phi,Parallel computing,Kepler,Tabu search | Conference |
Citations | PageRank | References |
1 | 0.39 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mikiko Sato | 1 | 22 | 11.53 |
| Shigeyoshi Tsutsui | 2 | 421 | 40.32 |
| Noriyuki Fujimoto | 3 | 280 | 25.23 |
| Yuji Sato | 4 | 48 | 18.14 |
| Mitaro Namiki | 5 | 97 | 20.69 |