The ring array processor: A multiprocessing peripheral for connectionist applications

Journal of Parallel and Distributed Computing

Volumn 14, Issue 3, 1992, Pages 248-259

  Morgan, Nelson ^a   Beck, James ^a   Kohn, Phil ^a   Bilmes, Jeff ^a   Allman, Eric ^a   Beer, Joachim ^a  

^a INTERNATIONAL COMPUTER SCIENCE INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER ARCHITECTURE; INFORMATION THEORY - DIGITAL SIGNALS; LOGIC DEVICES - GATES; SIGNAL PROCESSING - DIGITAL TECHNIQUES; SPEECH - RECOGNITION;

CONTINUOUS SPEECH RECOGNITION TRAINING ALGORITHMS; ERROR BACK PROPAGATION ALGORITHM; LOW LATENCY RING INTERCONNECTION SCHEME; MULTI DIGITAL SIGNAL PROCESSOR; PROGRAMMABLE GATE ARRAY TECHNOLOGY; RING ARRAY PROCESSOR;

NEURAL NETWORKS;

EID: 0026824973     PISSN: 07437315     EISSN: None     Source Type: Journal    
DOI: 10.1016/0743-7315(92)90067-W     Document Type: Article

References (28)

1. The ring array processor (RAP): Hardware
2. The ring array processor (RAP): Software architecture
3. BEAM: An accelerator for speech recognition
4. Merging multilayer perceptions and hidden Markov models: Some experiments in continuous speech recognition
5. Statistical inference in multilayer perceptrons and hidden Markov models with applications in continuous speech recognition
6. Links between Markov models and multilayer perceptrons
7. Computing with structured connectionist networks
8. A chipset for high speed simulation of neural network systems
9. A VLSI architecture for high-performance, lowcost, on-chip learning
10. Perceptual linear predictive (PLP) analysis of speech
11. An artificial neural network accelerator using general purpose floating point digital signal processors
12. The ring array processor (RAP): Software users manual
13. A unified systolic architecture for artificial neural networks
14. Optimal brain damage
15. The RAP: A ring array processor for layered network calculations
16. Continuous speech recognition using multilayer perceptrons with hidden Markov models
17. Continuous speech recognition using PLP analysis with multilayer perceptrons
18. An integrated-circuit-based speech recognition system
19. A large-vocabulary real-time continuous-speech recognition system
20. Neural network simulation at warp speed: How we got 17 million connections per second
21. Fine-grain system architectures for systolic emulation of neural algorithms
22. Learning internal representations by error propagation
23. Beyond regression: New tools for prediction and analysis in the behavioral sciences
24. An efficient implementation of the back-propagation algorithm on the connection machine CM-2