Name
Abstract | ||
|---|---|---|
The load-store queue (LQ-SQ) of modern superscalar processors is responsible for keeping the order of memory operations. As the performance gap between processing speed and memory access becomes worse, the capacity requirements for the LQ-SQ increase, and its design becomes a challenge due to its CAM structure. In this paper we propose an efficient load-store queue state filtering mechanism that provides a significant energy reduction (on average 35% in the LSQ and 3.5% in the whole processor), and only incurs a negligible performance loss of less than 0.6%. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11556930_1 | PATMOS |
Keywords | Field | DocType |
modern superscalar processor,cam structure,negligible performance loss,efficient load-store queue state,capacity requirement,lq-sq increase,memory access,load-store queue,performance gap,memory operation,scalable load-store queue design,power efficiency | Bloom filter,Power efficient,Computer science,Parallel computing,Queue,Filter (signal processing),Real-time computing,Energy reduction,Superscalar,Performance gap,Scalability,Embedded system | Conference |
Volume | ISSN | ISBN |
3728 | 0302-9743 | 3-540-29013-3 |
Citations | PageRank | References |
4 | 0.42 | 12 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fernando Castro | 1 | 58 | 8.07 |
| Daniel Chaver | 2 | 117 | 11.35 |
| Luis Pinuel | 3 | 41 | 2.65 |
| Manuel Prieto | 4 | 349 | 31.23 |
| Michael C. Huang | 5 | 875 | 58.47 |
| Francisco Tirado | 6 | 404 | 32.26 |