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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Si-Gwan Kim Seung Ryoul Maeng Jung Wan Cho |
| Copyright Year | 1999 |
| Description | Author affiliation: Dept. of Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea (Si-Gwan Kim) |
| Abstract | We present efficient all-to-all personalized communication algorithms for a 2D torus in wormhole-routed networks. Our complete exchange algorithm adopts divide-and-conquer approach to reduce the start-up latency significantly, which is a good metric for network performance in wormhole networks. The first algorithm recursively divides the whole network into 2/spl times/2 networks. After specially designated nodes called master nodes have collected messages, whose destinations are the rest of the basic cells, only master nodes perform complete exchange with reduced network size. Upon finishing this complete exchange among master nodes, these nodes distribute messages to the rest of the master nodes, which results in the desired complete exchange. The second algorithm, which is more practical than the first one, divides the network only once. After we present these new algorithms, we analyze time complexities and compare several algorithms. We show that our practical algorithm is efficient by a factor of 2 in the required start-up time which means that our algorithm is suitable for wormhole-routed networks. |
| Starting Page | 296 |
| Ending Page | 301 |
| File Size | 209959 |
| Page Count | 6 |
| File Format | |
| ISBN | 0769502318 |
| ISSN | 10874089 |
| DOI | 10.1109/ISPAN.1999.778955 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1999-06-23 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Intelligent networks Computer worms Routing Computer science Artificial intelligence Postal services Topology Message passing Unicast Table lookup |
| Content Type | Text |
| Resource Type | Article |
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