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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Forsell, M. Leppanen, V. Penttonen, M. |
| Copyright Year | 1996 |
| Description | Author affiliation: Dept. of Comput. Sci., Joensuu Univ., Finland (Forsell, M.) |
| Abstract | We consider time-processor optimal simulations of PRAM models on coated block meshes. A coated block mesh consists of n-processor blocks and /spl pi//spl times//spl pi/ or /spl radic/(/spl pi/)/spl times//spl radic/(/spl pi/)/spl times//spl radic/(/spl pi/) router blocks. The router blocks form a 2-dimensional or a 3-dimensional regular mesh, and the processor and memory blocks are located on the surface of the block mesh. As a generalization of the coated mesh, the 2-dimensional and 3-dimensional coated block meshes simulate EREW, CREW, and CRCW PRAM models time-processor optimally with moderate simulation cost. Using proper amount of parallel slackness, the cost can be decreased clearly below 2 routing steps per simulated PRAM processor. The coated block mesh is actually an instance of a more general two-level construction technique, which uses a seemingly inefficient but scalable solution on top of a non-scalable but efficient solution. Within blocks (chips) brute force techniques are applied, whereas the mesh structure on top makes the whole construction modular, simple, and scalable. The parameter /spl pi/ provides a method to balance the construction with respect to the two techniques. Keywords: PRAM, shared memory machine, simulation, time-processor optimal, mesh, interconnection network. |
| Starting Page | 29 |
| Ending Page | 35 |
| File Size | 731665 |
| Page Count | 7 |
| File Format | |
| ISBN | 0818674601 |
| ISSN | 10874089 |
| DOI | 10.1109/ISPAN.1996.508957 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1996-06-12 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Phase change random access memory Routing Machinery Yarn Costs Hypercubes Scalability Hardware Neural networks Sparse matrices |
| Content Type | Text |
| Resource Type | Article |
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