Propagation of I/O-Variables in Massively Parallel Processor Arrays

P
PDP
1996
4th Euromicro Workshop on Parallel and Distributed Processing (PDP '96)
Abstract - Propagation of I/O-Variables in Massively Parallel Processor Arrays

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4th Euromicro Workshop on Parallel and Distributed Processing (PDP '96)

PORTUGAL

January 24-January 26

ISBN: 0-8186-7376-1

	ASCII Text	x
	Dirk Fimmel, Renate Merker, "Propagation of I/O-Variables in Massively Parallel Processor Arrays," Parallel, Distributed, and Network-Based Processing, Euromicro Conference on, pp. 0501, 4th Euromicro Workshop on Parallel and Distributed Processing (PDP '96), 1996.

	BibTex	x
	@article{ 10.1109/EMPDP.1996.500625, author = {Dirk Fimmel and Renate Merker}, title = {Propagation of I/O-Variables in Massively Parallel Processor Arrays}, journal ={Parallel, Distributed, and Network-Based Processing, Euromicro Conference on}, volume = {0}, year = {1996}, isbn = {0-8186-7376-1}, pages = {0501}, doi = {http://doi.ieeecomputersociety.org/10.1109/EMPDP.1996.500625}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Parallel, Distributed, and Network-Based Processing, Euromicro Conference on TI - Propagation of I/O-Variables in Massively Parallel Processor Arrays SN - 0-8186-7376-1 SP EP A1 - Dirk Fimmel, A1 - Renate Merker, PY - 1996 KW - massive parallelism KW - parallel processor arrays KW - systems of recurrence equations KW - automatic design methods VL - 0 JA - Parallel, Distributed, and Network-Based Processing, Euromicro Conference on ER -

Dirk Fimmel, University of Technology Dresden

Renate Merker, University of Technology Dresden

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/EMPDP.1996.500625

In this paper the underlying design method for massively parallel processor arrays allows to exploit parallelism in a broader range because of not considering the I/O-variables during the design process of a full size array. As a consequence of this approach a reallocation of the I/O-ports of the I/O-variables at the boundary processors of the processor array is necessary. Algorithms will be described for the reallocation of the I/O-ports at the array boundaries leading to a minimal additional latency and taking systolic constraints into account. Integer linear programming is used to solve the arising optimization problems.

Index Terms:

massive parallelism, parallel processor arrays, systems of recurrence equations, automatic design methods

Citation:

Dirk Fimmel, Renate Merker, "Propagation of I/O-Variables in Massively Parallel Processor Arrays," pdp, pp.0501, 4th Euromicro Workshop on Parallel and Distributed Processing (PDP '96), 1996

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