Media processing applications on the Imagine stream processor
Media applications, such as image processing, signal processing, video, and graphics, require high computation rates and data bandwidths. The stream programming model is a natural and powerful way to describe these applications. Expressing media applications in this model allows hardware and softwar...
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| Vydané v: | Proceedings, IEEE International Conference on Computer Design s. 295 - 302 |
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| Hlavní autori: | , , , , , , |
| Médium: | Konferenčný príspevok.. |
| Jazyk: | English |
| Vydavateľské údaje: |
Piscataway NJ
IEEE
2002
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| Predmet: | |
| ISBN: | 0769517005, 9780769517001 |
| ISSN: | 1063-6404 |
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| Abstract | Media applications, such as image processing, signal processing, video, and graphics, require high computation rates and data bandwidths. The stream programming model is a natural and powerful way to describe these applications. Expressing media applications in this model allows hardware and software systems to take advantage of their concurrency and locality in order to meet their high computational demands. The Imagine stream programming system, a set of software tools and algorithms, is used to program media applications in the stream programming model. We achieve real-time performance on a variety of media processing applications with high computation rates (4-15 billion achieved operations per second) and high efficiency (84-95% occupancy on the arithmetic clusters). |
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| AbstractList | Media applications, such as image processing, signal processing, video, and graphics, require high computation rates and data bandwidths. The stream programming model is a natural and powerful way to describe these applications. Expressing media applications in this model allows hardware and software systems to take advantage of their concurrency and locality in order to meet their high computational demands. The Imagine stream programming system, a set of software tools and algorithms, is used to program media applications in the stream programming model. We achieve real-time performance on a variety of media processing applications with high computation rates (4-15 billion achieved operations per second) and high efficiency (84-95% occupancy on the arithmetic clusters). |
| Author | Mattson, P. Dally, W.J. Kapasi, U.J. Owens, J.D. Towles, B. Serebrin, B. Rixner, S. |
| Author_xml | – sequence: 1 givenname: J.D. surname: Owens fullname: Owens, J.D. organization: Comput. Syst. Lab., Stanford Univ., CA, USA – sequence: 2 givenname: S. surname: Rixner fullname: Rixner, S. – sequence: 3 givenname: U.J. surname: Kapasi fullname: Kapasi, U.J. – sequence: 4 givenname: P. surname: Mattson fullname: Mattson, P. – sequence: 5 givenname: B. surname: Towles fullname: Towles, B. – sequence: 6 givenname: B. surname: Serebrin fullname: Serebrin, B. – sequence: 7 givenname: W.J. surname: Dally fullname: Dally, W.J. |
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| SubjectTerms | Application software Applied sciences Bandwidth Concurrent computing Electronics Exact sciences and technology Graphics Hardware Image processing Integrated circuits Integrated circuits by function (including memories and processors) Power system modeling Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices Software systems Streaming media Video signal processing |
| Title | Media processing applications on the Imagine stream processor |
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