A configurable algorithm for parallel image-compositing applications
Collective communication operations can dominate the cost of large-scale parallel algorithms. Image compositing in parallel scientific visualization is a reduction operation where this is the case. We present a new algorithm called Radix-k that in many cases performs better than existing compositing...
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| Published in: | Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis pp. 1 - 10 |
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| Main Authors: | , , , , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
New York, NY, USA
ACM
14.11.2009
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| Series: | ACM Conferences |
| Subjects: | |
| ISBN: | 1605587443, 9781605587448 |
| ISSN: | 2167-4329 |
| Online Access: | Get full text |
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| Summary: | Collective communication operations can dominate the cost of large-scale parallel algorithms. Image compositing in parallel scientific visualization is a reduction operation where this is the case. We present a new algorithm called Radix-k that in many cases performs better than existing compositing algorithms. It does so through a set of configurable parameters, the radices, that determine the number of communication partners in each message round. The algorithm embodies and unifies binary swap and direct-send, two of the best-known compositing methods, and enables numerous other configurations through appropriate choices of radices. While the algorithm is not tied to a particular computing architecture or network topology, the selection of radices allows Radix-k to take advantage of new supercomputer interconnect features such as multiporting. We show scalability across image size and system size, including both powers of two and nonpowers-of-two process counts. |
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| ISBN: | 1605587443 9781605587448 |
| ISSN: | 2167-4329 |
| DOI: | 10.1145/1654059.1654064 |

