GPU computing gems
by Hwu, Wen-mei
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 me…
Read More ↓Title Statements
- Full title :GPU computing gems / Wen-mei W. Hwu, editor-in-chief.
Summary
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 problems on the GPU -- Implicit FEM solver on GPU for interactive deformation simulation -- Real-time adaptive GPU multiagent path planning -- Pricing financial derivatives with high performance finite difference solvers on GPUs -- Large-scale credit risk loss simulation -- Monte Carlo-based financial market value-at-risk estimation on GPUs --Thrust : a productivity-oriented library for CUDA -- GPU scripting and code generation with PyCUDA -- Jacket : GPU powered MATLAB acceleration -- Accelerating development and execution speed with just-in-time GPU code generation -- GPU application development, debugging, and performance tuning with GPU Ocelot -- Abstraction for AoS and SoA layout in C++ -- Processing device arrays with C++ metaprogramming -- GPU metaprogramming : a case study in biologically inspired machine vision -- A hybridization methodology for high-performance linear algebra software for GPUs -- Dynamic load balancing using work-stealing -- Applying software-managed caching and CPU/GPU task scheduling for accelerating dynamic workloads.
Read More ↓Edition Statements
- Publication Date:2012.
- Edition:Jade ed (Online-ausg.)
Publication Statements
- Publisher(s):Morgan Kaufmann
- Place of Publication:Waltham, MA
- Language:eng
- Publication Date:2012.
The Physical Object
- Description:Online-Ressource (1 online resource (1 v.)) : : Illustrationen.
Edition Identifiers
- ISBN:9780123859631, 0123859638, 9780123859648, 0123859646
- oclc:on1030363640
- LC Classification:T385
- Dewey Decimal:006.6
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