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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Greb, A. Zachmann, G. |
| Copyright Year | 2006 |
| Description | Author affiliation: Inst. of Comput. Sci. II, Rhein. Friedr.-Wilh.-Univ. Bonn, Germany (Greb, A.) |
| Abstract | In this paper, we present a novel approach for parallel sorting on stream processing architectures. It is based on adaptive bitonic sorting. For sorting n values utilizing p stream processor units, this approach achieves the optimal time complexity O((n log n)/p). While this makes our approach competitive with common sequential sorting algorithms not only from a theoretical viewpoint, it is also very fast from a practical viewpoint. This is achieved by using efficient linear stream memory accesses (and by combining the optimal time approach with algorithms optimized for small input sequences). We present an implementation on modern programmable graphics hardware (GPUs). On GPUs, our optimal parallel sorting approach has shown to be remarkably faster than sequential sorting on the CPU, and it is also faster than previous non-optimal sorting approaches on the GPU for sufficiently large input sequences. Because of the excellent scalability of our algorithm with the number of stream processor units p (up to n/log/sup 2/ n or even n/log n units, depending on the stream architecture), our approach profits heavily from the trend of increasing number of fragment processor units on GPUs, so that we can expect further speed improvement with upcoming GPU generations. |
| File Size | 207943 |
| File Format | |
| ISBN | 1424400546 |
| DOI | 10.1109/IPDPS.2006.1639284 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-04-25 |
| Publisher Place | Greece |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sorting Hardware Computer architecture Computer science Graphics Scalability Parallel architectures Parallel algorithms Parallel programming Programming profession |
| Content Type | Text |
| Resource Type | Article |
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