sponsored byIEEEACMThe International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 16-21, 2014

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GPGPU enabled HPC Cloud Platform Based on OpenStack

SESSION: Poster Reception

EVENT TYPE: Posters

TIME: 5:15PM - 7:00PM

AUTHOR(S):Tae Joon Jun, Van Quoc Dung, Myong Hwan Yoo, Daeyoung Kim, HyeYoung Cho, Jaegyoon Hahm

ROOM:New Orleans Theater Lobby

ABSTRACT:

Recently High Performance Computing (HPC) users are interested in Cloud computing as an alternative to supercomputers and General Purpose Graphical Processing Unit (GPGPU) is now crucial part in HPC area. To provide GPGPU in Cloud computing for HPC, we suggest GPGPU HPC Cloud platform based on OpenStack. We combined OpenStack, KVM, and rCUDA to enable scalable use of GPUs among virtual machines. To use GPU resource more efficiently, we propose centralized, distributed GPU resource schedulers on Cloud computing, mainly considering GPU resource usage, Cloud network topology and traffic. Finally, we evaluated performance of our GPGPU HPC Cloud platform. Compared to Cloud platform with PCI pass-through, speedup ratio was 0.93 to 0.99 on compute intensive programs and 0.26 to 0.89 on data intensive programs.

Chair/Author Details:

Tae Joon Jun - Korea Advanced Institute of Science and Technology

Van Quoc Dung - Korea Advanced Institute of Science and Technology

Myong Hwan Yoo - Korea Advanced Institute of Science and Technology

Daeyoung Kim - Korea Advanced Institute of Science and Technology

HyeYoung Cho - Korea Institute of Science and Technology Information

Jaegyoon Hahm - Korea Institute of Science and Technology Information

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