WattProf: A Flexible Platform for Fine-grained HPC Power Profiling

被引:12
|
作者
Rashti, Mohammad [1 ]
Sabin, Gerald [1 ]
Vansickle, David [1 ]
Norris, Boyana [2 ]
机构
[1] RNET Technol Inc, Dayton, OH 45459 USA
[2] Univ Oregon, Dept Comp Sci, Eugene, OR 97403 USA
关键词
D O I
10.1109/CLUSTER.2015.121
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The ability to monitor power and energy accurately and efficiently is becoming increasingly important in all areas of computing. In this paper, we introduce WattProf, a portable and flexible power monitoring platform that allows for fine-grained monitoring of power and energy consumption in various hardware components of HPC clusters. The WattProf system consist of a programmable monitoring PCIe expansion card, sensors for individual system components, host runtime system, and a high-level application programming interface. We demonstrate the use of WattProf on two benchmarks.
引用
收藏
页码:698 / 705
页数:8
相关论文
共 50 条
  • [31] An FPGA Overlay for CNN Inference with Fine-grained Flexible Parallelism
    Choudhury, Ziaul
    Shrivastava, Shashwat
    Ramapantulu, Lavanya
    Purini, Suresh
    [J]. ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 2022, 19 (03)
  • [32] Flexible and efficient sandboxing based on fine-grained protection domains
    Shinagawa, T
    Kono, K
    Masuda, T
    [J]. SOFTWARE SECURITY - THEORIES AND SYSTEMS, 2003, 2609 : 172 - 184
  • [33] Leveraging Fine-Grained Labels to Regularize Fine-Grained Visual Classification
    Wu, Junfeng
    Yao, Li
    Liu, Bin
    Ding, Zheyuan
    [J]. PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON COMPUTER MODELING AND SIMULATION (ICCMS 2019) AND 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND APPLICATIONS (ICICA 2019), 2019, : 133 - 136
  • [34] SMGuard: A Flexible and Fine-Grained Resource Management Framework for GPUs
    Yu, Chao
    Bai, Yuebin
    Yang, Hailong
    Cheng, Kun
    Gu, Yuhao
    Luan, Zhongzhi
    Qian, Depei
    [J]. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2018, 29 (12) : 2849 - 2862
  • [35] Aggressive Fine-Grained Power Gating of NoC Buffers
    Wu, Yibo
    Liu, Leibo
    Wang, Liang
    Wang, Xiaohang
    Han, Jie
    Deng, Chenchen
    Wei, Shaojun
    [J]. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 39 (11) : 3177 - 3189
  • [36] CloudSocket: Fine-Grained Power Sensing System for Datacenters
    Lee, Seil
    Kim, Hanjoo
    Park, Seongsik
    Kim, Seijoon
    Choe, Hyeokjun
    Yoon, Sungroh
    [J]. IEEE ACCESS, 2018, 6 : 49601 - 49610
  • [37] A Fine-grained Approach for Power Consumption Analysis and Prediction
    Leite, Alessandro
    Tadonki, Claude
    Eisenbeis, Christine
    de Melo, Alba
    [J]. 2014 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE, 2014, 29 : 2260 - 2271
  • [38] Adaptive Power Management with Fine-Grained Delay Constraints
    Wu, Kaiqiang
    Liu, Yi
    Zhang, Haiwen
    Qian, Depei
    [J]. ICCSIT 2010 - 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, VOL 2, 2010, : 633 - 637
  • [39] WattWatcher: Fine-Grained Power Estimation For Emerging Workloads
    LeBeane, Michael
    Ryoo, Jee Ho
    Panda, Reena
    John, Lizy K.
    [J]. 2015 27TH INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE AND HIGH PERFORMANCE COMPUTING (SBAC-PAD), 2015, : 106 - 113
  • [40] StarFlow: fine-grained execution of workflows in Hybrid Cloud HPC for data stream applications
    Ferrucci, Luca
    Danelutto, Marco
    Dazzi, Patrizio
    [J]. 16TH IEEE/ACM INTERNATIONAL CONFERENCE ON UTILITY AND CLOUD COMPUTING, UCC 2023, 2023,