Accelerating reed-solomon coding in RAID systems with GPUs

IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM

Volumn , Issue , 2008, Pages

  Curry, Matthew L ^a   Skjellum, Anthony ^a   Ward, H Lee ^b   Brightwell, Ron ^b  

^a UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

^b SANDIA NATIONAL LABORATORIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER NETWORKS; DISKS (STRUCTURAL COMPONENTS); DISTRIBUTED PARAMETER NETWORKS;

GRAPHICAL PROCESSING UNITS; PARALLEL AND DISTRIBUTED PROCESSING; REED-SOLOMON CODING;

DATA PROCESSING;

EID: 51049102796     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPDPS.2008.4536322     Document Type: Conference Paper

References (13)

1. R. Bhaskar, P. K. Dubey, V. Kumar, and A. Rudra. Efficient Galois field arithmetic on SIMD architectures. In SPAA '03: Proceedings of the Fifteenth Annual ACM Symposium on Parallel Algorithms and Architectures, pages 256-257, New York, NY, USA, 2003. ACM Press.
2. M. Blaum, J. Brady, J. Bruck, and J. Menon. EVENODD: an optimal scheme for tolerating double disk failures in RAID architectures. In Proceedings of the 21st Annual International Symposium on Computer Architecture, pages 245-254, 1994.
3. N. A. Carr, J. Hoberock, K. Crane, and J. C. Hart. Fast GPU ray tracing of dynamic meshes using geometry images. In GI '06: Proceedings of Graphics Interface 2006, pages 203-209, Toronto, Ont., Canada, 2006. Canadian Information Processing Society.
4. P. M. Chen, E. K. Lee, G. A. Gibson, R. H. Katz, and D. A. Patterson. RAID: High-performance, reliable secondary storage. ACM Computing Surveys, 26(2):145-185, 1994.
5. N. Galoppo, N. K. Govindaraju, M. Henson, and D. Manocha. LU-GPU: Efficient algorithms for solving dense linear systems on graphics hardware. In SC '05: Proceedings of the 2005 ACM/IEEE Conference on Supercomputing, page 3, Washington, DC, USA, 2005. IEEE Computer Society.
6. D. Göddeke, R. Strzodka, and S. Turek. Accelerating double precision FEM simulations with GPUs. In F. Hülsemann, M. Kowarschik, and U. Rüde, editors, Proceedings of the 18th Symposium on Simulation Technique (ASIM 2005), pages 139-144. SCS Publishing House e.V, Sept. 2005.
7. E. Grochowski and R. D. Halem. Technological impact of magnetic hard disk drives on storage systems. IBM Syst. J., 42(2):338-346, 2003.
8. NVIDIA. NVIDIA CUDA Compute Unified Device Architecture Programming Guide. Santa Clara, CA, 2007.
9. NVIDIA. GeForce 8800. http://www.nvidia.com/page/geforce 8800.html, 2008. Accessed on 28 January 2008.
10. J.-F. Pâris and D. D. E. Long. Using device diversity to protect data against batch-correlated disk failures. In StorageSS '06: Proceedings of the Second ACM Workshop on Storage Security and Survivability, pages 47-52, New York, NY, USA, 2006. ACM Press.
11. E. Pinheiro, W.-D. Weber, and L. A. Barroso. Failure trends in a large disk drive population. In Proceedings of the 5th USENIX Conference on File and Storage Technologies, pages 17-28, Berkeley, CA, USA, 2007. USENIX Association.
12. J. S. Plank. A tutorial on Reed-Solomon coding for fault-tolerance in RAID-like systems. Software - Practice & Experience, 27(9):995-1012, September 1997.
13. B. Schroeder and G. A. Gibson. Disk failures in the real world: what does an MTTF of 1,000,000 hours mean to you? In Proceedings of the 5th USENIX Conference on File and Storage Technologies, pages 1-1, Berkeley, CA, USA, 2007. USENIX Association.