04328oam 2200697I 450 991078757290332120230124191000.00-429-10085-X1-4665-7162-410.1201/b16051 (CKB)2670000000394416(EBL)1378843(SSID)ssj0001040386(PQKBManifestationID)11668530(PQKBTitleCode)TC0001040386(PQKBWorkID)11001682(PQKB)11487024(MiAaPQ)EBC1378843(OCoLC)869224365(CaSebORM)9781466571648(EXLCZ)99267000000039441620180331h20142014 uy 0engur|n|---|||||txtccrDesigning scientific applications on GPUs /edited by Raphael Couturier, University of Franche-Comte, Belfort, France1st editionBoca Raton, FL :CRC Press,[2014]©20141 online resource (496 p.)Chapman & Hall/CRC Numerical Analysis and Scientific Computing SeriesChapman & Hall/CRC numerical analysis and scientific computing ;21Description based upon print version of record.1-4665-7164-0 Includes bibliographical references.Front Cover; Contents; List of Figures; List of Tables; Preface; I. Presentation of GPUs; 1. Presentation of the GPU architecture and of the CUDA environment; 2. Introduction to CUDA; II. Image processing; 3. Setting up the environment; 4. Implementing a fast median filter; 5. Implementing an efficient convolution operation on GPU; III. Software development; 6. Development of software components for heterogeneous many-core architectures; 7. Development methodologies for GPU and cluster of GPUs; IV. Optimization; 8. GPU-accelerated tree-based exact optimization methods9. Parallel GPU-accelerated metaheuristics10. Linear programming on a GPU: a case study; V. Numerical applications; 11. Fast hydrodynamics on heterogeneous many-core hardware; 12. Parallel monotone spline interpolation and approximation on GPUs; 13. Solving sparse linear systems with GMRES and CG methods on GPU clusters; 14. Solving sparse nonlinear systems of obstacle problems on GPU clusters; 15. Ludwig: multiple GPUs for a complex fluid lattice Boltzmann application; 16. Numerical validation and performance optimization on GPUs of an application in atomic physics17. A GPU-accelerated envelope-following method for switching power converter simulationVI. Other; 18. Implementing multi-agent systems on GPU; 19. Pseudorandom number generator on GPU; 20. Solving large sparse linear systems for integer factorization on GPUsThis book covers designs of scientific applications for GPUs, beginning with a review of the principles of GPU programming. It then describes various scientific applications for GPUs and presents lessons learned. Scientific applications covered include computations on matrix operations, linear system solving, nonlinear system solving, image processing, and pseudo random number generation. Expert contributors discuss applications and the GPU porting in a pedagogical way, focusing their attention on the mechanisms they have used to obtain fast and interesting results--Provided by publisher.Chapman & Hall/CRC Numerical Analysis and Scientific Computing SeriesParallel programming (Computer science)Graphics processing unitsProgrammingScienceData processingNumerical analysisComputer programsApplication softwareDevelopmentParallel programming (Computer science)Graphics processing unitsProgramming.ScienceData processing.Numerical analysisComputer programs.Application softwareDevelopment.006.6/63MAT021000COM000000COM059000bisacshCouturier RaphaelFlBoTFGFlBoTFGBOOK9910787572903321Designing scientific applications on GPUs3805433UNINA