Energy efficient cluster co-processors

被引:0
|
作者
Ibrahim, A [1 ]
Parker, M [1 ]
Davis, A [1 ]
机构
[1] Univ Utah, Sch Comp, Salt Lake City, UT 84112 USA
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
New 3G wireless algorithms require more performance than can be currently provided by embedded processors. ASICs provide the necessary performance but are costly to design and sacrifice generality. This paper introduces a clustered VLIW coprocessor approach that organizes the execution and storage resources differently than a traditional general-purpose processor or DSP. The execution units of the coprocessor are clustered and embedded in a rich set of communication resources. Fine grain control of these resources is imposed by a wide-word horizontal micro-code program. The advantages of this approach are quantified on a suite of six algorithms that are taken from both traditional DSP applications and from the new 3G cellular telephony domain. The result is surprising. The execution clusters retain much of the generality of a conventional processor while simultaneously improving performance by one to two orders of magnitude and by reducing energy-delay by three to four orders of magnitude when compared to a conventional embedded processor such as the Intel XScale.
引用
收藏
页码:5 / 8
页数:4
相关论文
共 50 条
  • [41] Implementing legacy-C algorithms in FPGA co-processors for performance accelerated smart payloads
    Pingree, Paula J.
    Scharenbroich, Lucas J.
    Werne, Thomas A.
    Hartzell, Christine
    [J]. 2008 IEEE AEROSPACE CONFERENCE, VOLS 1-9, 2008, : 2822 - +
  • [42] AREA OPTIMIZATION OF CRYPTOGRAPHIC CO-PROCESSORS IMPLEMENTED IN DUAL-RAIL WITH PRECHARGE POSITIVE LOGIC
    Guilley, Sylvain
    Sauvage, Laurent
    Danger, Jean-Luc
    Hoogvorst, Philippe
    [J]. 2008 INTERNATIONAL CONFERENCE ON FIELD PROGRAMMABLE AND LOGIC APPLICATIONS, VOLS 1 AND 2, 2008, : 161 - 166
  • [43] A framework for accelerating local feature extraction with OpenCL on multi-core CPUs and co-processors
    Konrad Moren
    Diana Göhringer
    [J]. Journal of Real-Time Image Processing, 2019, 16 : 901 - 918
  • [44] Towards neural co-processors for the brain: combining decoding and encoding in brain-computer interfaces
    Rao, Rajesh P. N.
    [J]. CURRENT OPINION IN NEUROBIOLOGY, 2019, 55 : 142 - 151
  • [45] Optimizing dm-crypt for XTS-AES: Getting the Best of Atmel Cryptographic Co-processors
    Demir, Levent
    Thiery, Mathieu
    Roca, Vincent
    Tenkes, Jean-Michel
    Roch, Jean-Louis
    [J]. PROCEEDINGS OF THE 17TH INTERNATIONAL JOINT CONFERENCE ON E-BUSINESS AND TELECOMMUNICATIONS (SECRYPT), VOL 1, 2020, : 263 - 270
  • [46] On the Necessity, Security Requirements and Performance Requirements of Digital Signature Co-processors in Li-ion BMSs
    Crocetti, Luca
    Montemaggi, Lorenzo
    Di Rienzo, Roberto
    Baronti, Federico
    Roncella, Roberto
    Saletti, Roberto
    [J]. 2023 IEEE 2ND INDUSTRIAL ELECTRONICS SOCIETY ANNUAL ON-LINE CONFERENCE, ONCON, 2023,
  • [47] TASK-SCHEDULING IN HARD REAL-TIME EMBEDDED SYSTEMS USING HARDWARE CO-PROCESSORS
    COOLING, JE
    [J]. MICROPROCESSORS AND MICROSYSTEMS, 1994, 18 (10) : 571 - 578
  • [48] Low Cost Permanent Fault Detection Using Ultra-Reduced Instruction Set Co-Processors
    Ananthanarayan, Sundaram
    Garg, Siddharth
    Patel, Hiren D.
    [J]. DESIGN, AUTOMATION & TEST IN EUROPE, 2013, : 933 - 938
  • [49] Security-Aware Mapping and Scheduling with Hardware Co-Processors for FlexRay-Based Distributed Embedded Systems
    Gu, Zonghua
    Han, Gang
    Zeng, Haibo
    Zhao, Qingling
    [J]. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2016, 27 (10) : 3044 - 3057
  • [50] Vectorization of Local Search for Solving Flow-shop Scheduling Problem on Xeon Phi™ MIC Co-processors
    Vaillant, Gautier
    Mezmaz, Mohand
    Tuyttens, Daniel
    Melab, Nouredine
    [J]. 2016 INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING & SIMULATION (HPCS 2016), 2016, : 729 - 735