A multiobjective genetic fuzzy approach for intelligent system-level exploration in parameterized VLIW processor design

被引:0
|
作者
Ascia, Giuseppe [1 ]
Catania, Vincenzo [1 ]
Di Nuovo, Alessandro G. [1 ]
Palesi, Maurizio [1 ]
Patti, Davide [1 ]
机构
[1] Univ Catania, Dipartimento Ingn Informat & Telecomunicaz, Viale A Doria 6, I-95125 Catania, Italy
来源
2006 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-6 | 2006年
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The design of a complex embedded system is dominated by the definition of an optimal architecture in relation to certain performance indexes. This activity, known as Design Space Exploration (DSE), is a great challenge for the EDA (Electronic Design Automation) community. The enormous size of the design space, in fact, together with the long simulation time required to evaluate each system configuration during the exploration process, cause DSE to become a bottleneck in the design How. In this paper we propose a Multiobjective Design Space Exploration methodology based on a Genetic Fuzzy System, the aim of which is to drastically reduce the exploration time while guaranteeing a high level of accuracy. The methodology uses a Genetic Algorithm (GA) for heuristic exploration and a Fuzzy System to evaluate the configurations visited. Although of general application, the methodology is applied to a real case study: optimization of the performance and power consumption of an embedded architecture based on a Very Long Instruction Word (VLIW) microprocessor in a mobile multimedia application domain. The results obtained are compared, in terms of both accuracy and efficiency, with the state of the art in multiobjective DSE strategies, represented by the classical GA approach, demonstrating the scalability and effectiveness of the proposed approach.
引用
收藏
页码:1721 / +
页数:3
相关论文
共 50 条
  • [21] ILP and heuristic techniques for system-level design on network processor architectures
    Ostler, Chris
    Chatha, Karam S.
    Ramamurthi, Vijay
    Srinivasan, Krishnan
    ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2007, 12 (04)
  • [22] STATS: A framework for microprocessor and system-level design space exploration
    Albonesi, DH
    Koren, I
    JOURNAL OF SYSTEMS ARCHITECTURE, 1999, 45 (12-13) : 1097 - 1110
  • [23] STATS: A framework for microprocessor and system-level design space exploration
    Albonesi, David H.
    Koren, Israel
    Journal of Systems Architecture, 1999, 45 (12): : 1097 - 1110
  • [24] System-level design space exploration of dynamic reconfigurable architectures
    Sigdel, Kamana
    Thompson, Mark
    Pimente, Andy D.
    Stefanov, Todor
    Bertels, Koen
    EMBEDDED COMPUTER SYSTEMS: ARCHITECTURES, MODELING, AND SIMULATION, PROCEEDINGS, 2008, 5114 : 279 - +
  • [25] Compositional System-Level Design Exploration with Planning of High-Level Synthesis
    Liu, Hung-Yi
    Petracca, Michele
    Carloni, Luca P.
    DESIGN, AUTOMATION & TEST IN EUROPE (DATE 2012), 2012, : 641 - 646
  • [26] A system-level approach for the design of smart sensor interfaces
    Chao, G
    Li, XJ
    Meijer, GCM
    PROCEEDINGS OF THE IEEE SENSORS 2004, VOLS 1-3, 2004, : 210 - 214
  • [27] System-Level Design Space Exploration for Heterogeneous Parallel Dedicated Systems
    Pomante, Luigi
    Serri, Paolo
    Marchesani, Stefano
    WORLD CONGRESS ON COMPUTER & INFORMATION TECHNOLOGY (WCCIT 2013), 2013,
  • [28] Exploiting domain knowledge in system-level MPSoC design space exploration
    Thompson, Mark
    Pimentel, Andy D.
    JOURNAL OF SYSTEMS ARCHITECTURE, 2013, 59 (07) : 351 - 360
  • [29] Calibration of Abstract Performance Models for System-Level Design Space Exploration
    Andy D. Pimentel
    Mark Thompson
    Simon Polstra
    Cagkan Erbas
    Journal of Signal Processing Systems, 2008, 50 : 99 - 114
  • [30] Data Mining in System-Level Design Space Exploration of Embedded Systems
    Richthammer, Valentina
    Scheinert, Tobias
    Glass, Michael
    EMBEDDED COMPUTER SYSTEMS: ARCHITECTURES, MODELING, AND SIMULATION, SAMOS 2020, 2020, 12471 : 52 - 66