Lee, Peter, Lazzizzera, I., Zorat, Alessandro, Sartori, Alvise, Tecchiolli, G. (1997) Advances in the design of the TOTEM neurochip. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 389 (1-2). pp. 134-137. ISSN 0168-9002. (doi:10.1016/S0168-9002(97)00063-6) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:18154)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://dx.doi.org/10.1016/S0168-9002(97)00063-6 |
Abstract
The TOTEM neurochip has proved its viability as a system for real-time computation in HEP and space applications requiring high performance for event classification, data mining, and signal processing. ISA and VME boards integrating the TOTEM chip as a coprocessor have been made available to selected experimental groups which reported satisfactory results. This paper presents a new architectural solution yielding higher performance and reduced silicon area, The on-chip computational structures have been entirely redesigned to take advantage of a novel approach to number representation that, at the cost of a provably bounded approximation, leads to a much-reduced silicon area, lower power dissipation, and faster computation. This approach is validated by simulation results on experimental data, as presented in the paper.
Item Type: | Article |
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DOI/Identification number: | 10.1016/S0168-9002(97)00063-6 |
Additional information: | Document Type: Proceedings Paper Conference Information: 5th International Workshop on Software Engineering, Neural Nets, Genetic Algorithms, Expert Systems, Symbolic Algebra and Automatic Calculations in Physics Research (AIHENP 96) Lausanne, Switzerland, Sep 02-06, 1996 UNIL; EPFL |
Uncontrolled keywords: | neural networks; processors; computer arithmetic; VLSI |
Subjects: |
Q Science T Technology > TK Electrical engineering. Electronics. Nuclear engineering Q Science > QC Physics |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | M.A. Ziai |
Date Deposited: | 20 Apr 2009 18:42 UTC |
Last Modified: | 05 Nov 2024 09:54 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/18154 (The current URI for this page, for reference purposes) |
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