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Content Provider | IEEE Xplore Digital Library |
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Author | Steven Ge Xinmin Tian Yen-Kuang Chen |
Copyright Year | 2003 |
Description | Author affiliation: Intel China Res. Center, Intel Corp., Beijing, China (Steven Ge) |
Abstract | Exploiting thread-level parallelism is a promising way to improve the performance of multimedia applications running on multithreading general-purpose processors. This paper describes our work in developing the first multithreading implementation of the H.264 encoder. We parallelize the encoder using the OpenMP programming model, which allows us to leverage the advanced compiler technology in the Intel/spl reg/ C++ compiler for Intel hyper-threading architectures. We present our design considerations in the parallelization process. We describe an efficient multi-level data partitioning scheme that increases performance of a multithreaded H.264 encoder. Our experiments show parallel speedups ranging from 4.31x to 4.69x on a 4-CPU Intel Xeon/spl trade/ system with hyper-threading technology. |
Sponsorship | Microsoft Res. Asia Singapore Exhibition and Convention Bureau |
Starting Page | 469 |
Ending Page | 473 |
File Size | 377070 |
Page Count | 5 |
File Format | |
ISBN | 0780381858 |
DOI | 10.1109/ICICS.2003.1292496 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2003-12-15 |
Publisher Place | Singapore |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Multithreading Computer architecture Parallel processing Program processors Optimizing compilers Laboratories Parallel programming Encoding Decoding Hardware |
Content Type | Text |
Resource Type | Article |
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