GPU computing gems
by Hwu, Wen-mei
"Since the introduction of CUDA in 2007, more than 100 million computers with CUDA capable GPUs have been shipped to end users. GPU computing application developers can now expect their application to have a mass market. With the introduction of OpenCL in 2010, researchers can now expect to develop GPU applications that can run on hardware from multiple vendors"--
Read More ↓Title Statements
- Full title :GPU computing gems / Wen-mei W. Hwu, editor-in-chief.
Summary
"Since the introduction of CUDA in 2007, more than 100 million computers with CUDA capable GPUs have been shipped to end users. GPU computing application developers can now expect their application to have a mass market. With the introduction of OpenCL in 2010, researchers can now expect to develop GPU applications that can run on hardware from multiple vendors"--
Read More ↓Edition Statements
- Publication Date:2012.
- Edition:Jade ed
Publication Statements
- Publisher(s):Morgan Kaufmann
- Place of Publication:Waltham, MA
- Language:eng
- Publication Date:2012.
The Physical Object
- Description:1 online resource (1 volume) : : illustrations
Edition Identifiers
- ISBN:9780123859648, 0123859646
- oclc:on1083200707
- LC Classification:T385
- Dewey Decimal:006.6
Table of Contents
Large-scale GPU search -- Edge v. node parallelism for graph centrality metrics -- Optimizing parallel prefix operations for the Fermi architecture -- Building an efficient hash table on the GPU -- Efficient CUDA algorithms for the maximum network flow problem -- Optimizing memory access patterns for cellular automata on GPUs -- Fast minimum spanning tree computation -- Comparison-based in-place sorting with CUDA -- Interval arithmetic in CUDA -- Approximating the erfinv function -- A hybrid method for solving tridiagonal systems on the GPU -- Accelerating CULA linear algebra routines with hybrid GPU and multicore computing -- GPU accelerated derivative-free mesh optimization -- Large-scale gas turbine simulations on GPU clusters -- GPU acceleration of rarefied gas dynamic simulations -- Application of assembly of finite element methods on graphics processors for real-time elastodynamics -- CUDA implementation of vertex-centered, finite volume CFD methods on unstructured grids with flow control applications -- Solving wave equations on unstructured geometries -- Fast electromagnetic integral equation solvers on graphics processing units (GPUs) -- Solving large multibody dynamics p…
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