Name
Abstract | ||
|---|---|---|
The use of locking caches has been recently proposed to ease the analysis of the performance and predictability of a cache when used in a real-time system. One promising method to adequately select the cache contents is the use of a genetic algorithm. However, this method requires the tuning of analysis parameters and this step requires a huge computational cost that can be reduced only if a massively parallel computing infrastructure is used. The work presented here analyses the specific requirements of the genetic algorithm tuning and the facilities provided by commercial grid software. Although the grid eases the resource management and job execution it lacks some communication link with submitted jobs, which is solved by the use of a specialized program called the Experiment Manager. This experiment manager supplements the grid and offers a completely automated environment for algorithm tuning to the researcher. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-30501-9_102 | PDCAT |
Keywords | Field | DocType |
automated environment,commercial grid software,cache content,promising method,genetic algorithm,experiment manager,analysis parameter,experiment manager supplement,genetic algorithm tuning,real time system,communication link,resource manager,real time systems | CPU cache,Cache,Parallel algorithm,Massively parallel,Computer science,Real-time computing,Real-time operating system,Software,Genetic algorithm,Grid,Distributed computing | Conference |
Volume | ISSN | ISBN |
3320 | 0302-9743 | 3-540-24013-6 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonio Martí Campoy | 1 | 7 | 5.02 |
| Francisco Rodríguez | 2 | 0 | 0.34 |
| Angel Perles Ivar | 3 | 0 | 0.34 |