Two-criterial constraint-driven FSM state encoding for low power

被引:1
|
作者
Koegst, M [1 ]
Rülke, S [1 ]
Franke, G [1 ]
Avedillo, MJ [1 ]
机构
[1] Aussentelle EAS Dresden, Fraunhofer Inst Integrierte Schaltungen, D-01069 Dresden, Germany
来源
EUROMICRO SYMPOSIUM ON DIGITAL SYSTEMS DESIGN, PROCEEDINGS | 2001年
关键词
D O I
10.1109/DSD.2001.952123
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper we propose a new state encoding approach for power reduction of digital controllers. lye utilize in the encoding procedure two optimization parameters simultaneously: area and register switching rate. The area is approximated by the number of rows in the FSM controller specification. Our approach for power reduction exploits an adapted encoding strategy and provides a proper trade-off regarding both parameters. A couple of experimental results show the practicability of our approach.
引用
收藏
页码:94 / 99
页数:6
相关论文
共 47 条
  • [1] Multi-criterial state assignment for low power FSM design
    Koegst, M
    Franke, G
    Rulke, S
    Feske, K
    24TH EUROMICRO CONFERENCE - PROCEEDING, VOLS 1 AND 2, 1998, : 261 - 268
  • [2] FSM non-minimal state encoding for low power
    Lemberski, I
    Koegst, M
    Cotofana, S
    Juurlink, B
    2002 23RD INTERNATIONAL CONFERENCE ON MICROELECTRONICS, VOLS 1 AND 2, PROCEEDINGS, 2002, : 605 - 608
  • [3] FSM re-engineering and its application in low power state encoding
    Yuan, Lin
    Qu, Gang
    Villa, Tiziano
    Sangiovanni-Vincentelli, Alberto
    ASP-DAC 2005: PROCEEDINGS OF THE ASIA AND SOUTH PACIFIC DESIGN AUTOMATION CONFERENCE, VOLS 1 AND 2, 2005, : 254 - 259
  • [4] GECCO: Constraint-driven Abstraction of Low-level Event Logs
    Rebmann, Adrian
    Weidlich, Matthias
    Van der Aa, Han
    2022 IEEE 38TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2022), 2022, : 150 - 163
  • [5] State assignment for FSM low power design
    Koegst, M
    Franke, G
    Feske, K
    EURO-DAC '96 - EUROPEAN DESIGN AUTOMATION CONFERENCE WITH EURO-VHDL '96 AND EXHIBITION, PROCEEDINGS, 1996, : 28 - 33
  • [6] Low power FSM design using Huffman-style encoding
    Surti, P
    Chao, LF
    Tyagi, A
    EUROPEAN DESIGN & TEST CONFERENCE - ED&TC 97, PROCEEDINGS, 1997, : 521 - 525
  • [7] Constraint-driven deep learning for N-k security constrained optimal power flow
    Giraud, Bastien N.
    Rajaei, Ali
    Cremer, Jochen L.
    ELECTRIC POWER SYSTEMS RESEARCH, 2024, 235
  • [8] FSM state assignment methods for low-power design
    Salauyou, Valery
    Grzes, Tomasz
    6TH INTERNATIONAL CONFERENCE ON COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL MANAGEMENT APPLICATIONS, PROCEEDINGS, 2007, : 345 - +
  • [9] FSM State-Encoding for Area and Power Minimization Using Simulated Evolution Algorithm
    Sait, Sadiq M.
    Oughali, F. C.
    Arafeh, A. M.
    JOURNAL OF APPLIED RESEARCH AND TECHNOLOGY, 2012, 10 : 845 - 858
  • [10] Mixed synchronous/asynchronous state memory for low power FSM design
    Cao, C
    Oelmann, B
    PROCEEDINGS OF THE EUROMICRO SYSTEMS ON DIGITAL SYSTEM DESIGN, 2004, : 363 - 370