Abstract
Currently, many people are enjoying multimedia applications with image and audio processing on PCs, PDAs, mobile phones and so on. With the popularization of the multimedia applications, needs for low cost, low power consumption and high performance processors has been increasing.To this end, chip multiprocessor architectures which allow us to attain scalable performance improvement by using multigrain parallelism are attracting much attention. However, in order to extract higher performance on a chip multiprocessor, more sophisticated software techniques are required, such as decomposing a program into adequate grain of tasks, assigning them onto processors considering parallelism, data locality optimization and so on. This paper describes a parallel processing scheme for MPEG2 encoding using data localization which improve execution efficiency assigning coarse grain tasks sharing same data on a same processor consecutively for a chip multiprocessor. The performance evaluation on OSCAR chip multiprocessor architecture shows that proposed scheme gives us 6.97 times speedup using 8 processors and 10.93 times speedup using 16 processors against sequential execution time respectively. Moreover, the proposed scheme gives us 1.61 times speedup using 8 processors and 2.08 times speedup using 16 processors against loop parallel processing which has been widely used for multiprocessor systems using the same number of processors.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Innovative Architecture for Future Generation High-Performance Processors and Systems |
| Editors | A. Veidenbaum, H. Nakajo |
| Pages | 119-127 |
| Number of pages | 9 |
| DOIs | |
| Publication status | Published - 2004 |
| Event | Proceedings of the Innovative Architecture for Future Generation High-Performance Processors and Systems, IWIA 2004 - Maui, HI Duration: 2004 Jan 12 → 2004 Jan 14 |
Other
| Other | Proceedings of the Innovative Architecture for Future Generation High-Performance Processors and Systems, IWIA 2004 |
|---|---|
| City | Maui, HI |
| Period | 04/1/12 → 04/1/14 |
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ASJC Scopus subject areas
- Computer Science(all)
Cite this
Parallel processing using data localization for MPEG2 encoding on OSCAR chip multiprocessor. / Kodaka, Takeshi; Nakano, Hirofumi; Kimura, Keiji; Kasahara, Hironori.
Proceedings of the Innovative Architecture for Future Generation High-Performance Processors and Systems. ed. / A. Veidenbaum; H. Nakajo. 2004. p. 119-127.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Parallel processing using data localization for MPEG2 encoding on OSCAR chip multiprocessor
AU - Kodaka, Takeshi
AU - Nakano, Hirofumi
AU - Kimura, Keiji
AU - Kasahara, Hironori
PY - 2004
Y1 - 2004
N2 - Currently, many people are enjoying multimedia applications with image and audio processing on PCs, PDAs, mobile phones and so on. With the popularization of the multimedia applications, needs for low cost, low power consumption and high performance processors has been increasing.To this end, chip multiprocessor architectures which allow us to attain scalable performance improvement by using multigrain parallelism are attracting much attention. However, in order to extract higher performance on a chip multiprocessor, more sophisticated software techniques are required, such as decomposing a program into adequate grain of tasks, assigning them onto processors considering parallelism, data locality optimization and so on. This paper describes a parallel processing scheme for MPEG2 encoding using data localization which improve execution efficiency assigning coarse grain tasks sharing same data on a same processor consecutively for a chip multiprocessor. The performance evaluation on OSCAR chip multiprocessor architecture shows that proposed scheme gives us 6.97 times speedup using 8 processors and 10.93 times speedup using 16 processors against sequential execution time respectively. Moreover, the proposed scheme gives us 1.61 times speedup using 8 processors and 2.08 times speedup using 16 processors against loop parallel processing which has been widely used for multiprocessor systems using the same number of processors.
AB - Currently, many people are enjoying multimedia applications with image and audio processing on PCs, PDAs, mobile phones and so on. With the popularization of the multimedia applications, needs for low cost, low power consumption and high performance processors has been increasing.To this end, chip multiprocessor architectures which allow us to attain scalable performance improvement by using multigrain parallelism are attracting much attention. However, in order to extract higher performance on a chip multiprocessor, more sophisticated software techniques are required, such as decomposing a program into adequate grain of tasks, assigning them onto processors considering parallelism, data locality optimization and so on. This paper describes a parallel processing scheme for MPEG2 encoding using data localization which improve execution efficiency assigning coarse grain tasks sharing same data on a same processor consecutively for a chip multiprocessor. The performance evaluation on OSCAR chip multiprocessor architecture shows that proposed scheme gives us 6.97 times speedup using 8 processors and 10.93 times speedup using 16 processors against sequential execution time respectively. Moreover, the proposed scheme gives us 1.61 times speedup using 8 processors and 2.08 times speedup using 16 processors against loop parallel processing which has been widely used for multiprocessor systems using the same number of processors.
UR - http://www.scopus.com/inward/record.url?scp=17444393593&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=17444393593&partnerID=8YFLogxK
U2 - 10.1109/IWIA.2004.10021
DO - 10.1109/IWIA.2004.10021
M3 - Conference contribution
AN - SCOPUS:17444393593
SP - 119
EP - 127
BT - Proceedings of the Innovative Architecture for Future Generation High-Performance Processors and Systems
A2 - Veidenbaum, A.
A2 - Nakajo, H.
ER -