Download Concurrent Computations: Algorithms, Architecture, and by Gary Frazier (auth.), Stuart K. Tewksbury, Bradley W. PDF

By Gary Frazier (auth.), Stuart K. Tewksbury, Bradley W. Dickinson, Stuart C. Schwartz (eds.)

The 1987 Princeton Workshop on set of rules, structure and know-how matters for versions of Concurrent Computation was once equipped as an interdisciplinary paintings­ store emphasizing present learn instructions towards concurrent computing structures. With individuals from a number of varied fields of specialization, the workshop cov­ ered a wide selection of issues, notwithstanding under no circumstances an entire pass component to matters during this speedily relocating box. The papers incorporated during this publication have been ready for the workshop and, taken jointly, supply a view of the extensive variety of matters and substitute instructions being explored. to arrange a number of the papers, the e-book has been divided into 5 elements. half I considers new know-how instructions. half II emphasizes underlying theoretical matters. verbal exchange matters, that are advert­ wearing nearly all of papers, are particularly highlighted partially III. half IV contains papers stressing the fault tolerance and reliability of structures. ultimately, half V contains systems-oriented papers, the place the method levels from VLSI circuits via strong parallel desktops. a lot of the preliminary making plans of the workshop was once accomplished via a casual AT&T Bell Laboratories staff such as Mehdi Hatamian, Vijay Kumar, Adri­ aan Ligtenberg, Sailesh Rao, P. Subrahmanyam and myself. we're thankful to Stuart Schwartz, either for the aid of Princeton collage and for his orga­ nizing neighborhood preparations for the workshop, and to the individuals of the organizing committee, whose thoughts for contributors and dialogue themes have been par­ ticularly precious. A. Rosenberg, and A. T.

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Extra info for Concurrent Computations: Algorithms, Architecture, and Technology

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5: Schematic of the circuit implemented with the network specialized for feature extraction. 8 and are present at each crosspoint of a data line and a input line of a sense amplifier. Drawn here are only a few of the resistive interconnections to indicate where a weight bit has been set to '1'. 4. 6: Photomicrograph of the "feature extraction" chip. 41 42 CHAPTER 3. VLSI IMPLEMENTATIONS OF NEURAL NETWORKS A feature is stored along a wire with each resistor representing one component of the feature.

5: Partition of architecture identifying location of where various GaAs dies would be used. 3. GAAS SYSTOLIC CELL DESIGN ....................... ..... _.. . 6: Fine grained pipeline structure for the 24 bit mantissa multiplier. 7: Placement of 36 small GaAs dies on the upper substrate. 58 CHAPTER 4. 8: Twelve reticle masks required for the different dies used in the architecture. 9: Routed inter die interconnections on each upper substrate. 3. 9. (~ '1 B Q '-00 SPEI'

The most likely candidates will be switching computers, super computers, and specialized signal processors. Some of the quoted strengths of electronics are a bit misleading. The powers and speeds of optical and electronic gates are constantly being compared. This is not a fair comparison since communication costs are not really factored in. It is relative easy of an electronic gate to talk to another gate on the same chip however the problem gets considerable more difficult when the gate wants to talk with a gate on another chip or on another board.

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