Aging-Aware Boosting

被引:12
|
作者
Khdr, Heba [1 ]
Amrouch, Hussam [1 ]
Henkel, Joerg [1 ]
机构
[1] KIT, CES, D-76131 Karlsruhe, Germany
关键词
Performance optimization; reliability-aware design; aging; temperature-aware design; system-level optimization; runtime management; boosting;
D O I
10.1109/TC.2018.2816014
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
DVFS-based boosting techniques have been widely employed by commercial multi-core processors, due to their superiority in improving the performance. Boosting, however, is particularly stressing circuits and hence it significantly contributes to an accelerated aging process. Circuit aging has become a real reliability concern because it leads to an increase in transistor threshold voltage that may cause timing errors as a result of higher delays in critical paths. Thus, high performance is desirable but it shortens the circuit lifetime through aging leaving a choice to trade-off. Besides well-known long-term aging effects, recent research also reported short-term aging effects. Our claim is that DVFS-based boosting techniques should consider both long-and short-term aging effects. This can be circumvented by wider timing guardbands. But that would be more expensive. The goal of this work is therefore to analyze and optimize boosting under specific consideration of long-term and short-term aging effects. As a result of our findings, we propose the first comprehensive aging-aware, yet efficient boosting technique. The employed aging-aware cell libraries in this work are publicly available at http://ces.itec.kit.edu/dependable-hardware.php.
引用
收藏
页码:1217 / 1230
页数:14
相关论文
共 50 条
  • [41] Aging-Aware Request Scheduling for Non-Volatile Main Memory
    Song, Shihao
    Das, Anup
    Mutlu, Onur
    Kandasamy, Nagarajan
    2021 26TH ASIA AND SOUTH PACIFIC DESIGN AUTOMATION CONFERENCE (ASP-DAC), 2021, : 657 - 664
  • [42] Aging-aware Lifetime Enhancement for Memristor-based Neuromorphic Computing
    Zhang, Shuhang
    Zhang, Grace Li
    Li, Bing
    Li, Hai
    Schlichtmann, Ulf
    2019 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE), 2019, : 1751 - 1756
  • [43] Aging-aware predictive control of PV-battery assets in buildings
    Cai, Jie
    Zhang, Hao
    Jin, Xing
    APPLIED ENERGY, 2019, 236 : 478 - 488
  • [44] Low-overhead Aging-aware Resource Management on Embedded GPUs
    Lee, Haeseung
    Shafique, Muhammad
    Al Faruque, Mohammad Abdullah
    PROCEEDINGS OF THE 2017 54TH ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC), 2017,
  • [45] Battery- and Aging-Aware Embedded Control Systems for Electric Vehicles
    Chang, Wanli
    Proebstl, Alma
    Goswami, Dip
    Zamani, Majid
    Chakraborty, Samarjit
    2014 IEEE 35TH REAL-TIME SYSTEMS SYMPOSIUM (RTSS 2014), 2014, : 238 - 248
  • [46] An Aging-Aware GPU Register File Design Based on Data Redundancy
    Valero, Alejandro
    Candel, Francisco
    Suarez-Gracia, Dario
    Petit, Salvador
    Sahuquillo, Julio
    IEEE TRANSACTIONS ON COMPUTERS, 2019, 68 (01) : 4 - 20
  • [47] Low Power Aging-Aware Register File Design by Duty Cycle Balancing
    Wang, Shuai
    Jin, Tao
    Zheng, Chuanlei
    Duan, Guangshan
    DESIGN, AUTOMATION & TEST IN EUROPE (DATE 2012), 2012, : 546 - 549
  • [48] Fast and Accurate Aging-Aware Cell Timing Model via Graph Learning
    Ye, Yuyang
    Chen, Tinghuan
    Wang, Zicheng
    Yan, Hao
    Yu, Bei
    Shi, Longxing
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2024, 71 (01) : 156 - 160
  • [49] Aging-Aware Energy-Efficient Task Deployment of Heterogeneous Multicore Systems
    Chen, Yu-Guang
    Wang, Chieh-Shih
    Lin, Ing-Chao
    Chen, Zheng-Wei
    Schlichtmann, Ulf
    IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 43 (05) : 1580 - 1593
  • [50] Performance-based and Aging-aware Resource Allocation for Concurrent GPU Applications
    Tasoulas, Zois-Gerasimos
    Guss, Ryan
    Anagnostopoulos, Iraklis
    2018 IEEE INTERNATIONAL SYMPOSIUM ON DEFECT AND FAULT TOLERANCE IN VLSI AND NANOTECHNOLOGY SYSTEMS (DFT), 2018,