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23rd EUROMICRO Conference '97 New Frontiers of Information Technology
What computer architecture can learn from computational intelligence-and vice versa
Budapest, HUNGARY
September 01-September 04
ISBN: 0-8186-8129-2
ASCII Text
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R. Moore, B. Klauer, K. Waldschmidt, "What computer architecture can learn from computational intelligence-and vice versa," EUROMICRO Conference, pp. 690, 23rd EUROMICRO Conference '97 New Frontiers of Information Technology, 1997.
 
 
BibTex
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@article{ 10.1109/EURMIC.1997.617402,
author = {R. Moore and B. Klauer and K. Waldschmidt},
title = {What computer architecture can learn from computational intelligence-and vice versa},
journal ={EUROMICRO Conference},
volume = {0},
year = {1997},
issn = {1089-6503},
pages = {690},
doi = {http://doi.ieeecomputersociety.org/10.1109/EURMIC.1997.617402},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - EUROMICRO Conference
TI - What computer architecture can learn from computational intelligence-and vice versa
SN - 1089-6503
SP
EP
A1 - R. Moore,
A1 - B. Klauer,
A1 - K. Waldschmidt,
PY - 1997
KW - artificial intelligence; computer architecture; computational intelligence; parallelism; data distribution; granularity; regularity; von Neumann model; neural network; multithreaded architecture; parallelizing compilers
VL - 0
JA - EUROMICRO Conference
ER -
 
R. Moore, Technische Inf., Frankfurt Univ., Germany
B. Klauer, Technische Inf., Frankfurt Univ., Germany
K. Waldschmidt, Technische Inf., Frankfurt Univ., Germany
We consider whether the seemingly disparate fields of computational intelligence (CI) and computer architecture can profit from each others' principles, results and experience. In the process, we identify important common issues, such as parallelism, distribution of data and control, granularity and regularity. We present two novel computer architectures which have profited from principles found in CI, and identify two constraints on CI to eliminate the hidden influence of the von Neumann model of computation.
Index Terms:
artificial intelligence; computer architecture; computational intelligence; parallelism; data distribution; granularity; regularity; von Neumann model; neural network; multithreaded architecture; parallelizing compilers
Citation:
R. Moore, B. Klauer, K. Waldschmidt, "What computer architecture can learn from computational intelligence-and vice versa," euromicro, pp.690, 23rd EUROMICRO Conference '97 New Frontiers of Information Technology, 1997
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