The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
La multitude de paramètres dans le processus de conception d'un processeur à jeu d'instructions reconfigurable (RISP) peut conduire à un espace de conception vaste et à une complexité remarquable. L'approche de conception quantitative utilise les données collectées à partir des applications pour satisfaire les contraintes de conception et optimiser les objectifs de conception tout en tenant compte des caractéristiques des applications ; cependant, cela dépend fortement des observations et des analyses du concepteur. L'exploration de l'espace de conception peut être considérée comme une technique efficace pour trouver un équilibre approprié entre les différents paramètres de conception. En effet, cette approche serait coûteuse en termes de calcul lorsque l'évaluation des performances des points de conception est réalisée sur la base de la technique de synthèse et de simulation. Un modèle combiné analytique et basé sur la simulation (CAnSO**) est proposé et validé pour l'évaluation des performances d'un RISP typique. Le modèle proposé consiste en un noyau analytique qui intègre des statistiques collectées à partir d'une simulation précise au cycle pour effectuer une évaluation raisonnable et fournir un aperçu précieux. CANSO présente des avantages évidents en termes de vitesse et peut donc être utilisé pour faciliter une exploration fastidieuse de l'espace de conception d'un processeur RISP reconfigurable et une évaluation rapide des performances d'architectures légèrement modifiées.
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Farhad MEHDIPOUR, Hamid NOORI, Koji INOUE, Kazuaki MURAKAMI, "Rapid Design Space Exploration of a Reconfigurable Instruction-Set Processor" in IEICE TRANSACTIONS on Fundamentals,
vol. E92-A, no. 12, pp. 3182-3192, December 2009, doi: 10.1587/transfun.E92.A.3182.
Abstract: Multitude parameters in the design process of a reconfigurable instruction-set processor (RISP) may lead to a large design space and remarkable complexity. Quantitative design approach uses the data collected from applications to satisfy design constraints and optimize the design goals while considering the applications' characteristics; however it highly depends on designer observations and analyses. Exploring design space can be considered as an effective technique to find a proper balance among various design parameters. Indeed, this approach would be computationally expensive when the performance evaluation of the design points is accomplished based on the synthesis-and-simulation technique. A combined analytical and simulation-based model (CAnSO**) is proposed and validated for performance evaluation of a typical RISP. The proposed model consists of an analytical core that incorporates statistics collected from cycle-accurate simulation to make a reasonable evaluation and provide a valuable insight. CAnSO has clear speed advantages and therefore it can be used for easing a cumbersome design space exploration of a reconfigurable RISP processor and quick performance evaluation of slightly modified architectures.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E92.A.3182/_p
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@ARTICLE{e92-a_12_3182,
author={Farhad MEHDIPOUR, Hamid NOORI, Koji INOUE, Kazuaki MURAKAMI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Rapid Design Space Exploration of a Reconfigurable Instruction-Set Processor},
year={2009},
volume={E92-A},
number={12},
pages={3182-3192},
abstract={Multitude parameters in the design process of a reconfigurable instruction-set processor (RISP) may lead to a large design space and remarkable complexity. Quantitative design approach uses the data collected from applications to satisfy design constraints and optimize the design goals while considering the applications' characteristics; however it highly depends on designer observations and analyses. Exploring design space can be considered as an effective technique to find a proper balance among various design parameters. Indeed, this approach would be computationally expensive when the performance evaluation of the design points is accomplished based on the synthesis-and-simulation technique. A combined analytical and simulation-based model (CAnSO**) is proposed and validated for performance evaluation of a typical RISP. The proposed model consists of an analytical core that incorporates statistics collected from cycle-accurate simulation to make a reasonable evaluation and provide a valuable insight. CAnSO has clear speed advantages and therefore it can be used for easing a cumbersome design space exploration of a reconfigurable RISP processor and quick performance evaluation of slightly modified architectures.},
keywords={},
doi={10.1587/transfun.E92.A.3182},
ISSN={1745-1337},
month={December},}
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TY - JOUR
TI - Rapid Design Space Exploration of a Reconfigurable Instruction-Set Processor
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 3182
EP - 3192
AU - Farhad MEHDIPOUR
AU - Hamid NOORI
AU - Koji INOUE
AU - Kazuaki MURAKAMI
PY - 2009
DO - 10.1587/transfun.E92.A.3182
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E92-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2009
AB - Multitude parameters in the design process of a reconfigurable instruction-set processor (RISP) may lead to a large design space and remarkable complexity. Quantitative design approach uses the data collected from applications to satisfy design constraints and optimize the design goals while considering the applications' characteristics; however it highly depends on designer observations and analyses. Exploring design space can be considered as an effective technique to find a proper balance among various design parameters. Indeed, this approach would be computationally expensive when the performance evaluation of the design points is accomplished based on the synthesis-and-simulation technique. A combined analytical and simulation-based model (CAnSO**) is proposed and validated for performance evaluation of a typical RISP. The proposed model consists of an analytical core that incorporates statistics collected from cycle-accurate simulation to make a reasonable evaluation and provide a valuable insight. CAnSO has clear speed advantages and therefore it can be used for easing a cumbersome design space exploration of a reconfigurable RISP processor and quick performance evaluation of slightly modified architectures.
ER -