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| José Alberto Fernández-Zepeda, Ramachandran Vaidyanathan, Jerry L. Trahan, "Scaling Simulation of the Fusing-Restricted Reconfigurable Mesh," IEEE Transactions on Parallel and Distributed Systems, vol. 9, no. 9, pp. 861-871, September, 1998. | |||
| BibTex | x | ||
| @article{ 10.1109/71.722220, author = {José Alberto Fernández-Zepeda and Ramachandran Vaidyanathan and Jerry L. Trahan}, title = {Scaling Simulation of the Fusing-Restricted Reconfigurable Mesh}, journal ={IEEE Transactions on Parallel and Distributed Systems}, volume = {9}, number = {9}, issn = {1045-9219}, year = {1998}, pages = {861-871}, doi = {http://doi.ieeecomputersociety.org/10.1109/71.722220}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Parallel and Distributed Systems TI - Scaling Simulation of the Fusing-Restricted Reconfigurable Mesh IS - 9 SN - 1045-9219 SP861 EP871 EPD - 861-871 A1 - José Alberto Fernández-Zepeda, A1 - Ramachandran Vaidyanathan, A1 - Jerry L. Trahan, PY - 1998 KW - Reconfigurable mesh KW - scaling simulation KW - simulation overhead KW - concurrent write rules KW - model simulation KW - parallel algorithms. VL - 9 JA - IEEE Transactions on Parallel and Distributed Systems ER - | |||
Abstract—This paper deals with the ability of a model to adapt algorithm instances of different sizes to run on a given model size without significant loss of efficiency. The overhead in simulating a step of a large instance of the model on a smaller instance can quantify this ability. A reconfigurable mesh (R-Mesh) can use its bus structure as a computational resource, presenting an obstacle to efficiently scaling down algorithms to run on a smaller R-Mesh. We construct a scaling simulation of a Fusing-Restricted Reconfigurable Mesh (FR-Mesh), a version of the R-Mesh. The overhead of this simulation depends only on the simulating machine size and not on the simulated machine size. Previously, the R-Mesh was not known to admit such a simulation overhead without significantly reducing its computational power. The small overhead holds importance for flexibility in algorithm design and for running algorithms with various input sizes on an available model of given size. The results of this paper extend to a variety of concurrent write rules and also translate to an improved scaling simulation of an unrestricted R-Mesh.
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