NDLI: Multithread Content Based File Chunking System in CPU-GPGPU Heterogeneous Architecture

Content Provider	IEEE Xplore Digital Library
Author	Zhi Tang Youjip Won
Copyright Year	2011
Abstract	the fast development of Graphics Processing Unit (GPU) leads to the popularity of General-purpose usage of GPU (GPGPU). So far, most modern computers are CPU-GPGPU heterogeneous architecture and CPU is used as host processor. In this work, we promote a multithread file chunking prototype system, which is able to exploit the hardware organization of the CPU-GPGPU heterogeneous computer and determine which device should be used to chunk the file to accelerate the content based file chunking operation of deduplication. We built rules for the system to choose which device should be used to chunk file and also found the optimal choice of other related parameters of both CPU and GPGPU subsystem like segment size and block dimension. This prototype was implemented and tested. The result of using GTX460(336 cores) and Intel i5 (four cores) shows that this system can increase the chunking speed 63% compared to using GPGPU alone and 80% compared to using CPU alone.
Starting Page	58
Ending Page	64
File Size	785705
Page Count	7
File Format	PDF
ISBN	9781457714580
DOI	10.1109/CCP.2011.20
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-21
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Incremental Modulo-K Multicore processing Instruction sets Switches Deduplication Hardware Content Based File Chunking CPU-GPGPU Graphics processing unit
Content Type	Text
Resource Type	Article

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