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A Shared Memory model based on the Dataflow paradigm
San Remo, Italy January 25-January 27
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/EMPDP.1995.3891533rd Euromicro Workshop on Parallel an ...
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G.J. Blinowski, "A Shared Memory model based on the Dataflow paradigm," Parallel, Distributed, and Network-Based Processing, Euromicro Conference on, pp. 68, 3rd Euromicro Workshop on Parallel and Distributed Processing, 1995.
 
 
BibTex
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@article{ 10.1109/EMPDP.1995.389153,
author = {G.J. Blinowski},
title = {A Shared Memory model based on the Dataflow paradigm},
journal ={Parallel, Distributed, and Network-Based Processing, Euromicro Conference on},
volume = {0},
year = {1995},
issn = {1066-6192},
pages = {68},
doi = {http://doi.ieeecomputersociety.org/10.1109/EMPDP.1995.389153},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Parallel, Distributed, and Network-Based Processing, Euromicro Conference on
TI - A Shared Memory model based on the Dataflow paradigm
SN - 1066-6192
SP
EP
A1 - G.J. Blinowski,
PY - 1995
KW - shared memory systems; data flow computing; distributed processing; computer networks; shared memory model; dataflow paradigm; autonomous processing elements; single assignment principle; multi-dimensional addressing; associative data access primitives; associative data read; tightly coupled; heterogenous machines; computer network
VL - 0
JA - Parallel, Distributed, and Network-Based Processing, Euromicro Conference on
ER -
 
G.J. Blinowski, Inst. of Comput. Sci., Warsaw Univ. of Technol., Poland
In this paper a Shared Memory model designed to be efficiently implemented on a collection of autonomous processing elements is presented. The model is inspired by the Dataflow paradigm. The main features of the model are: the single assignment principle, multi-dimensional addressing scheme, and associative data access primitives. The single assignment principle limits the number of updates of a uniquely identified and atomic data object to one. In a multidimensional addressing the atomic data objects - pages are located in an n-dimensional address space. An associative data read primitive will succeed only when a specified set of memory pages becomes available. The model can be implemented on both tightly coupled shared memory MIMD machines, and distributed systems of heterogenous machines connected by a computer network.
Index Terms:
shared memory systems; data flow computing; distributed processing; computer networks; shared memory model; dataflow paradigm; autonomous processing elements; single assignment principle; multi-dimensional addressing; associative data access primitives; associative data read; tightly coupled; heterogenous machines; computer network
Citation:
G.J. Blinowski, "A Shared Memory model based on the Dataflow paradigm," pdp, pp.68, 3rd Euromicro Workshop on Parallel and Distributed Processing, 1995
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