Name
Title | ||
|---|---|---|
Ant colony optimization for application mapping in coarse-grained reconfigurable array |
Abstract | ||
|---|---|---|
Coarse-grained reconfigurable array (CGRA) is an efficient architecture in digital signal processing domain. It is one of the best candidate architectures to exploit instruction level and loop level parallelism in the computation intensive applications while maintaining a certain degree of flexibility. The performance of CGRA is greatly reliant on the mapping algorithm which associate operations with PE and the time slot to execute. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-36812-7_22 | ARC |
Keywords | Field | DocType |
ant colony optimization,instruction level,application mapping,coarse-grained reconfigurable array,best candidate architecture,efficient architecture,digital signal processing domain,computation intensive application,associate operation,certain degree,loop level parallelism,mapping algorithm | Ant colony optimization algorithms,Architecture,Digital signal processing,Reconfigurable array,Computer science,Parallel computing,Real-time computing,Exploit,Mapping algorithm,Loop level parallelism,Computation | Conference |
Volume | ISSN | Citations |
7806 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Li Zhou | 1 | 5 | 1.44 |
| Dongpei Liu | 2 | 19 | 3.60 |
| Botao Zhang | 3 | 55 | 10.73 |
| Hengzhu Liu | 4 | 86 | 23.28 |