SCHEDULE: NOV 15-20, 2015

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Out-of-Core Sorting Acceleration using GPU and Flash NVM

SESSION: Regular & ACM Student Research Competition Poster Reception

EVENT TYPE: Posters, Receptions, ACM Student Research Competition

EVENT TAG(S): HPC Beginner Friendly, Regular Poster

TIME: 5:15PM - 7:00PM

SESSION CHAIR(S): Michela Becchi, Manish Parashar, Dorian C. Arnold

AUTHOR(S):Hitoshi Sato, Ryo Mizote, Satoshi Matsuoka

ROOM:Level 4 - Lobby

ABSTRACT:

We propose a sample-sort-based out-of-core sorting acceleration technique, called xtr2sort, that deals with multi-level memory hierarchy of GPU, CPU and Flash NVM, as an instance for future computing systems with deep memory hierarchy. Our approach splits the input records into several chunks to fit on GPU and overlaps I/O operations between Flash NVM and CPU, data transfers between CPU and GPU, and sorting on GPU in an asynchronous manner. Experimental results show that xtr2sort can sort up to 64 times larger record size than in-core GPU sorting and 4 times larger record size than in-core CPU sorting, and achieve 2.16 times faster than out-of-core CPU sorting using 72 threads, even the input records cannot fit on CPU and GPU. The results indicate that I/O chunking and latency hiding approach works really well for GPU and Flash NVM, and a possible approach for future big data processing with extreme computing techniques.

Chair/Author Details:

Michela Becchi, Manish Parashar, Dorian C. Arnold (Chair) - University of Missouri|Rutgers University|University of New Mexico|

Hitoshi Sato - Tokyo Institute of Technology

Ryo Mizote - Tokyo Institute of Technology

Satoshi Matsuoka - Tokyo Institute of Technology

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