High performance GPU-based parity computing scheduler in storage applications-Reference-Cited by-同舟云学术

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High performance GPU-based parity computing scheduler in storage applications

Published:2016-06-30 Issue:4 Volume:29 Page:e3889
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat.: Pract. Exper.

Author:

Pirahandeh Mehdi¹^ORCID,Kim Deok-Hwan¹

Affiliation:

1. Department of Electronic Engineering; Inha University; 253 Yonghyun-dong, Nam-gu Incheon 402-751 Korea

Funder

National Research Foundation of Korea (NRF) Grant

Basic Science Research Program

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference17 articles.

1. Lower bounds and MDS codes for storage;Plank;IEEE Information Theory Workshop,2011

2. Silberstein M et al. GPUfs: integrating file systems with GPUs Proceedings of the 18th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS '13) Texas, USA 2013 485 498

3. Pirahandeh M Kim DH Adopted erasure code for SSD based RAID-6 System Proceedings of the ITC-CSCC Conf Japan 2012 81 85

4. Blaum M Brady J Bruck J Menon J EVENODD: an optimal scheme for tolerating double disk failures in RAID architectures Proceedings of the 21st Annual International Symposium on Computer Architecture San Jose, CA, USA 1994 245 254

5. Pirahandeh M Kim H Reliable energy-aware SSD based RAID-6 system Proceedings of the FAST Conference in Storage systems San Jose, USA 2012

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