Attaining high performance in general-purpose computations on current graphics processors

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5336 LNCS, Issue , 2008, Pages 406-419

  Igual, Francisco D ^a   Mayo, Rafael ^a   Quintana Ortí, Enrique S ^a  

^a UNIVERSITAT JAUME I   (Spain)

Author keywords

General purpose computing on GPU; Graphics processors (GPUs); High performance; Image processing; Linear algebra

Indexed keywords

ALGEBRA; COMPUTER ARCHITECTURE; DIGITAL IMAGE STORAGE; IMAGE PROCESSING; IMAGING SYSTEMS;

COPROCESSING; GAIN INSIGHTS; GENERAL PURPOSE COMPUTING ON GPU; GRAPHICS PROCESSORS (GPUS); HIGH PERFORMANCE; ON CURRENTS;

HIGH PERFORMANCE LIQUID CHROMATOGRAPHY;

EID: 58349105189     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-92859-1_37     Document Type: Conference Paper

References (12)

1. Barrachina, S., Castillo, M., Igual, F.D., Mayo, R., Quintana-Orti, E.S.: Evaluation and tuning of the level 3 CUBLAS for graphics processors. In: Workshop on Multithreaded Architectures and Applications, MTAAP 2008 (2008)
2. NVIDIA Corp. NVIDIA CUBLAS Library (2007)
3. NVIDIA Corp. NVIDIA CUDA Compute Unified Device Architecture. Programming Guide (2007)
4. Fatahalian, K., Sugerman, J., Hanrahan, P.: Understanding the efficiency of GPU algorithms for matrix-matrix multiplication. Graphics Hardware (2004)
5. Basic Linear Algebra Subprograms Technical (BLAST) Forum. Basic Linear Algebra Subprograms Technical (BLAST) Forum Standard (2001)
6. Galoppo, N., Govindaraju, N., Henson, M., Monocha, D.: LU-GPU: Efficient algorithms for solving dense linear systems on graphics hardware. In: ACM/IEEE SC 2005 Conference (2005)
7. Goto, K., Van de Geijn, R.: High-performance implementation of the level-3 BLAS. ACM Transactions on Mathematical Software
8. Govindaraju, N., Lloyd, B., Wang, W., Lin, M., Manocha, D.: Fast computation of database operations using graphics processors. In: Proceedings of the 2004 ACM SIGMOD International Conference on Management of Data, pp. 215-226 (June 2004)
9. Hong, J.Y., Wang, M.D.: High speed processing of biomedical images using programmable GPU. In: 2004 International Conference on Image Processing, ICIP 2004, 24-27 October 2004, vol. 4, pp. 2455-2458 (2004)
10. Larsen, E.S., McAllister, D.: Fast matrix multiplies using graphics hardware. In: Supercomputing, ACM/IEEE 2001 Conference, p. 43 (November 2001)
11. Moravánszky, A.: Dense matrix algebra on the GPU (2003)
12. Ruiz, A., Sertel, O., Ujaldon, M., Catalyurek, U., Saltz, J., Gurcan, M.: Pathological image analysis using the GPU: Stroma classification for neuroblastoma. In: Proceedings IEEE Intl. Conference on BioInformation and Bio Medicine (2007)