TABSH: Tag-Based Stochastic Hardware

被引:0
|
作者
Abdallah, Sarah [1 ]
Chehab, Ali [1 ]
Kayssi, Ayman [1 ]
Elhajj, Imad H. [1 ]
机构
[1] Amer Univ Beirut, Dept Elect & Comp Engn, Beirut 11072020, Lebanon
来源
2013 4TH ANNUAL INTERNATIONAL CONFERENCE ON ENERGY AWARE COMPUTING SYSTEMS AND APPLICATIONS (ICEAC) | 2013年
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Many popular and emerging applications are error tolerant by nature: their operations are considered "correct" even if the underlying hardware, to a certain extent, is erroneous. Under these circumstances, fault-correction mechanisms turn out to be unnecessary. This gave birth to "stochastic processors" that are under-designed and allow results not to be fully correct. Relaxing the hardware correctness requirements as a way to reduce energy consumption is a major trend first because of the emergence of green electronics and second the boom in portable devices with limited battery capacity. In this paper, we present TABSH, a SIMD Tag-Based Stochastic Hardware, and we compare its energy figures to a SISD processor, and show up to 65% energy saving per instruction.
引用
收藏
页码:115 / 120
页数:6
相关论文
共 50 条
  • [41] BOOSTING TAG-BASED SEARCH IN SOCIAL MEDIA SITES
    Rawashdeh, Majdi
    Alhamid, Mohammed F.
    Hossain, M. Anwar
    El Saddik, Abdulmotaleb
    2015 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA & EXPO WORKSHOPS (ICMEW), 2015,
  • [42] Evolution of tag-based cooperation with emotion on complex networks
    Lima, F. W. S.
    IX BRAZILIAN MEETING ON SIMULATIONAL PHYSICS (BMSP 2017), 2018, 1012
  • [43] Tag-Based User Profiling: A Game Theoretic Approach
    Faggioli, Guglielmo
    Polato, Mirko
    Aiolli, Fabio
    ADJUNCT PUBLICATION OF THE 27TH CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION (ACM UMAP '19 ADJUNCT), 2019, : 267 - 271
  • [44] Tag-Based Classification for Software-Defined Networking
    Farhady, Hamid
    Nakao, Akihiro
    INTERNATIONAL JOURNAL OF GRID AND HIGH PERFORMANCE COMPUTING, 2015, 7 (01) : 1 - 14
  • [45] Tag-based approaches for transcriptome research and genome annotation
    Harbers M.
    Carninci P.
    Nature Methods, 2005, 2 (7) : 495 - 502
  • [46] Joint Hypergraph Learning for Tag-Based Image Retrieval
    Wang, Yaxiong
    Zhu, Li
    Qian, Xueming
    Han, Junwei
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 27 (09) : 4437 - 4451
  • [47] An Algorithm for the Improvement of Tag-based Social Interest Discovery
    Javier Astrain, Jose
    Cordoba, Alberto
    Echarte, Francisco
    Villadangos, Jesus
    SEMAPRO 2010: THE FOURTH INTERNATIONAL CONFERENCE ON ADVANCES IN SEMANTIC PROCESSING, 2010, : 49 - 54
  • [48] Blind Tag-Based Physical-Layer Authentication
    Wang, Chen
    Sha, Mingrui
    Xiong, Wei
    Xie, Ning
    Mao, Rui
    Zhang, Peichang
    Huang, Lei
    IEEE-ACM TRANSACTIONS ON NETWORKING, 2024, : 4735 - 4748
  • [49] Cooperation, correlation and the evolutionary dominance of tag-based strategies
    Bruner, Justin P.
    BIOLOGY & PHILOSOPHY, 2021, 36 (02)
  • [50] NAPS : Integrating pose estimation and tag-based tracking
    Wolf, Scott W.
    Ruttenberg, Dee M.
    Knapp, Daniel Y.
    Webb, Andrew E.
    Traniello, Ian M.
    McKenzie-Smith, Grace C.
    Leheny, Sophie A.
    Shaevitz, Joshua W.
    Kocher, Sarah D.
    METHODS IN ECOLOGY AND EVOLUTION, 2023, 14 (10): : 2541 - 2548