Performance And Evaluation Of Lisp Systems
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Performance and Evaluation of LISP Systems
This final report of the Stanford Lisp Performance Study describes implementation techniques, performance tradeoffs, benchmarking techniques, and performance results for all of the major Lisp dialects in use today.
VLSI for Artificial Intelligence and Neural Networks
Author: Jose G. Delgado-Frias
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
This book is an edited selection of the papers presented at the International Workshop on VLSI for Artifidal Intelligence and Neural Networks which was held at the University of Oxford in September 1990. Our thanks go to all the contributors and especially to the programme committee for all their hard work. Thanks are also due to the ACM-SIGARCH, the IEEE Computer Society, and the lEE for publicizing the event and to the University of Oxford and SUNY-Binghamton for their active support. We are particularly grateful to Anna Morris, Maureen Doherty and Laura Duffy for coping with the administrative problems. Jose Delgado-Frias Will Moore April 1991 vii PROLOGUE Artificial intelligence and neural network algorithms/computing have increased in complexity as well as in the number of applications. This in tum has posed a tremendous need for a larger computational power than can be provided by conventional scalar processors which are oriented towards numeric and data manipulations. Due to the artificial intelligence requirements (symbolic manipulation, knowledge representation, non-deterministic computations and dynamic resource allocation) and neural network computing approach (non-programming and learning), a different set of constraints and demands are imposed on the computer architectures for these applications.
Parallel And Distributed Computing For Symbolic And Irregular Applications - Proceedings Of The International Workshop Pdsia ’99
PDSIA '99 was the fourth in a series of international workshops on parallel symbolic computing, a basic yet challenging area with wide applications in high-performance computing. As in the previous meetings, parallel symbolic languages and systems were the major topics. However, reflecting the latest advances in distributed computing systems, the workshop also encompassed wider perspectives in parallel and distributed computing for symbolic and irregular applications.