Name
Abstract | ||
|---|---|---|
We propose a new intra-task dynamic voltage scaling (DVS) method to capture an important fact of 'software runtime distribution' and integrate it into DVS effectively. Specifically, the proposed method finds performance levels, for a given software runtime distribution, i.e. statistical profiling of execution cycles (neither the execution cycle of worst-case execution path nor the worst-case execution cycles of basic blocks), which leads to a 'minimal energy consumption while satisfying the given deadline constraints. Experimental results report that the proposed method gives 19.2%~33.3% further energy reduction compared with the best-known methods for two industrial multimedia software programs, H.264 decoder and MPEG4 decoder. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1145/1233501.1233622 | ICCAD |
Keywords | Field | DocType |
best-known method,software runtime distribution,energy reduction,worst-case execution cycle,mpeg4 decoder,h.264 decoder,runtime distribution-aware dynamic voltage,industrial multimedia software program,worst-case execution path,execution cycle,satisfiability | Dynamic voltage scaling,Multimedia software,Computer science,Profiling (computer programming),Real-time computing,Runtime verification,Energy reduction,Software,Energy consumption,Embedded system | Conference |
ISBN | Citations | PageRank |
1-59593-389-1 | 9 | 0.65 |
References | Authors | |
12 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sungpack Hong | 1 | 864 | 33.20 |
| Sungjoo Yoo | 2 | 1398 | 96.56 |
| HoonSang Jin | 3 | 244 | 15.15 |
| Kyu-Myung Choi | 4 | 167 | 14.80 |
| Jeong-Taek Kong | 5 | 142 | 19.99 |
| Soo-Kwan Eo | 6 | 77 | 7.35 |