DocumentCode
3206128
Title
CheCL: Transparent Checkpointing and Process Migration of OpenCL Applications
Author
Takizawa, Hiroyuki ; Koyama, Kentaro ; Sato, Katsuto ; Komatsu, Kazuhiko ; Kobayashi, Hiroaki
Author_Institution
Tohoku Univ., Sendai, Japan
fYear
2011
fDate
16-20 May 2011
Firstpage
864
Lastpage
876
Abstract
In this paper, we propose a new transparent checkpoint/restart (CPR) tool, named CheCL, for high-performance and dependable GPU computing. CheCL can perform CPR on an OpenCL application program without any modification and recompilation of its code. A conventional check pointing system fails to checkpoint a process if the process uses OpenCL. Therefore, in CheCL, every API call is forwarded to another process called an API proxy, and the API proxy invokes the API function, two processes, an application process and an API proxy, are launched for an OpenCL application. In this case, as the application process is not an OpenCL process but a standard process, it can be safely check pointed. While CheCL intercepts all API calls, it records the information necessary for restoring OpenCL objects. The application process does not hold any OpenCL handles, but CheCL handles to keep such information. Those handles are automatically converted to OpenCL handles and then passed to API functions. Upon restart, OpenCL objects are automatically restored based on the recorded information. This paper demonstrates the feasibility of transparent check pointing of OpenCL programs including MPI applications, and quantitatively evaluates the runtime overheads. It is also discussed that CheCL can enable process migration of OpenCL applications among distinct nodes, and among different kinds of compute devices such as a CPU and a GPU.
Keywords
application program interfaces; checkpointing; computer graphic equipment; coprocessors; message passing; API call; API proxy; CPU; CheCL; GPU computing; MPI applications; OpenCL application program; process migration; transparent checkpoint-restart tool; Benchmark testing; Checkpointing; Context; Graphics processing unit; Kernel; Runtime; Synchronization;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel & Distributed Processing Symposium (IPDPS), 2011 IEEE International
Conference_Location
Anchorage, AK
ISSN
1530-2075
Print_ISBN
978-1-61284-372-8
Electronic_ISBN
1530-2075
Type
conf
DOI
10.1109/IPDPS.2011.85
Filename
6012895
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