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Designing a connectionist network supercomputer.

K Asanović·J Beck·J Feldman·N Morgan·J Wawrzynek
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Abstract

This paper describes an effort at UC Berkeley and the International Computer Science Institute to develop a supercomputer for artificial neural network applications. Our perspective has been strongly influenced by earlier experiences with the construction and use of a simpler machine. In particular, we have observed Amdahl's Law in action in our designs and those of others. These observations inspire attention to many factors beyond fast multiply-accumulate arithmetic. We describe a number of these factors along with rough expressions for their influence and then give the applications targets, machine goals and the system architecture for the machine we are currently designing.

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AlgorithmsArtificial IntelligenceComputer SystemsComputersComputers, AnalogComputers, HybridDatabases, FactualNeural Networks, ComputerSoftwareJournal ArticleResearch Support, Non-U.S. Gov'tResearch Support, U.S. Gov't, Non-P.H.S.

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K Asanović, J Beck, J Feldman, N Morgan, J Wawrzynek. 1993. Designing a connectionist network supercomputer.. https://doi.org/10.1142/s0129065793000250

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