Journal Article10.1016/0743-7315(92)90067-W
The Ring Array Processor: a multiprocessing peripheral for connectionist applications
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TL;DR: The motivation for the RAP is described and how the architecture matches the target algorithm is shown, which is to reduce peak performance on the error back-propagation algorithm to about 50% of a linear speedup.
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About: This article is published in Journal of Parallel and Distributed Computing. The article was published on 01 Mar 1992. The article focuses on the topics: Multiprocessing & Speedup.
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Citations
Optimizing matrix multiply using PHiPAC: a portable, high-performance, ANSI C coding methodology
Jeff A. Bilmes,Krste Asanovic,CheeWhye Chin,James Demmel +3 more
- 11 Jul 1997
TL;DR: PHiPAC was an early attempt to improve software performance by searching in a large design space of possible implementations to find the best one, using code generators that could easily generate a vast assortment of very different points within a design space, and even across very different design spaces altogether.
479
Connectionist probability estimators in HMM speech recognition
TL;DR: It is shown that a connectionist component improves a state-of-the-art HMM system through a statistical interpretation of connectionist networks as probability estimators.
Vector microprocessors
Krste Asanovic,John Wawrzynek +1 more
- 01 Jan 1998
TL;DR: This thesis presents the design, implementation, and evaluation of T0 (Torrent-0): the first single-chip vector microprocessor, a compact but highly parallel processor that can sustain over 24 operations per cycle while issuing only a single 32-bit instruction per cycle.
180
Neural networks for statistical recognition of continuous speech
Nelson Morgan,Hervé Bourlard +1 more
- 01 May 1995
TL;DR: It is demonstrated that fairly simple layered structures, which the authors lately have termed big dumb neural networks (BDNN's), can be discriminatively trained to estimate emission probabilities for an HMM.
145
Spert-II: a vector microprocessor system
John Wawrzynek,Krste Asanovic,Brian Kingsbury,David Johnson,James Beck,Nelson Morgan +5 more
- 01 Mar 1996
TL;DR: A prototype full custom vector microprocessor, TO, is packaged as the Spert-II (Synthetic Perceptron Testbed II) workstation accelerator system, to accelerate multiparameter neural network training for speech recognition research.
References
Learning internal representations by error propagation
David E. Rumelhart,Geoffrey E. Hinton,Ronald J. Williams +2 more
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TL;DR: This chapter contains sections titled: The Problem, The Generalized Delta Rule, Simulation Results, Some Further Generalizations, Conclusion.
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Learning internal representations by error propagation
David E. Rumelhart,Geoffrey E. Hinton,Ronald J. Williams +2 more
- 03 Jan 1986
TL;DR: In this paper, the problem of the generalized delta rule is discussed and the Generalized Delta Rule is applied to the simulation results of simulation results in terms of the generalized delta rule.
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Optimal Brain Damage
Yann LeCun,John S. Denker,Sara A. Solla +2 more
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TL;DR: A class of practical and nearly optimal schemes for adapting the size of a neural network by using second-derivative information to make a tradeoff between network complexity and training set error is derived.
Perceptual linear predictive (PLP) analysis of speech
TL;DR: A new technique for the analysis of speech, the perceptual linear predictive (PLP) technique, which uses three concepts from the psychophysics of hearing to derive an estimate of the auditory spectrum, and yields a low-dimensional representation of speech.
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