NDLI: An adaptive GPU performance and power model

Content Provider	IEEE Xplore Digital Library
Author	Xiaoke Li Junmin Wu Zhibin Yu Chengzhong Xu Kai Chen
Copyright Year	2014
Description	Author affiliation: Sch. of Comput. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China (Xiaoke Li; Junmin Wu) \|\| Cloud Comput. Res. Center, Shenzhen Inst. of Adv. Technol., Shenzhen, China (Zhibin Yu; Chengzhong Xu; Kai Chen)
Abstract	Benefiting from integrating massive parallel processors, Graphics Processing Units(GPUs) have become prevalent computing devices for general-purpose parallel applications - so called GPGPU computing. While providing powerful computation capability, GPGPUs are power hungry. Almost half of the total amount of a GPGPU-based system power is consumed by GPGPU, which has seriously hindered the application of GPGPUs. As such, it's essential to build an accurate and robust model to analyze the performance and power consumption of GPGPUs. In this paper, we propose an adaptive performance and power consumption model by using random forest algorithm. The model is based on the overall GPU architecture performance counters, including multi-processor, memory access pattern and bandwidth metrics, and adapts to different NVIDIA GPU architectures. The results demonstrate that our model can achieve an average accuracy with prediction error 2.1% and 3.2% for the performance and power consumption, respectively. Furthermore, by identifying the most important impact factors and quantifying their contributions, our proposed approach can help GPGPU programmers and architects get quick insights on the performance and power consumption of GPGPU systems.
Starting Page	665
Ending Page	669
File Size	357715
Page Count	5
File Format	PDF
e-ISBN	9781479948086
DOI	10.1109/ICIST.2014.6920565
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Adaptation models Analytical models Power demand Power consumption Computational modeling Graphics processing units Predictive models Random forest Performance GPGPU
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in