NDLI: Automatic Command Queue Scheduling for Task-Parallel Workloads in OpenCL

Content Provider	IEEE Xplore Digital Library
Author	Aji, A.M. Pena, A.J. Balaji, P. Wu-chun Feng
Copyright Year	2015
Abstract	OpenCL is a portable interface that can be used to program cluster nodes with heterogeneous compute devices. The OpenCL specification tightly binds its workflow abstraction, or "command queue," to a specific device for the entire program. For best performance, the user has to find the ideal queue -- device mapping at command queue creation time, an effort that requires a thorough understanding of the match between the characteristics of all the underlying device architectures and the kernels in the program. In this paper, we propose to add scheduling attributes to the OpenCL context and command queue objects that can be leveraged by an intelligent runtime scheduler to automatically perform ideal queue - device mapping. Our proposed extensions enable the average OpenCL programmer to focus on the algorithm design rather than scheduling and automatically gain performance without sacrificing programmability. As an example, we design and implement an OpenCL runtime for task-parallel workloads, called MultiCL, which efficiently schedules command queues across devices. Within MultiCL, we implement several key optimizations to reduce runtime overhead. Our case studies include the SNU-NPB OpenCL benchmark suite and a real-world seismology simulation. We show that, on average, users have to apply our proposed scheduler extensions to only four source lines of code in existing OpenCL applications in order to automatically benefit from our runtime optimizations. We also show that MultiCL always maps command queues to the optimal device set with negligible runtime overhead.
Starting Page	42
Ending Page	51
File Size	321591
Page Count	10
File Format	PDF
ISBN	9781467365987
DOI	10.1109/CLUSTER.2015.15
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kernel Runtime Performance evaluation Processor scheduling Context Schedules Dynamic scheduling Scheduling OpenCL Runtime Systems
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

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