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CUDA
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271	This is the author’s version of the work. The definitive work was published in Proceedings of the SPIE: Medical Imaging 2011: Image Processing, Lake Buena Vista, Orlando, FL, USA, February 12-17, 2011. Detector Defect Add to Reading List Source URL: www12.informatik.uni-erlangen.de Language: English - Date: 2011-01-15 11:56:21 Video cards Nvidia Parallel computing GPGPU CUDA Thread Nvidia Quadro Memory barrier Multi-core processor Computing Concurrent computing Computer hardware
272	Microsoft PowerPoint - next2015naitou.pptx Add to Reading List Source URL: www-jt60.naka.jaea.go.jp Language: English - Date: 2015-03-27 00:21:21 GPGPU Video cards Graphics hardware Nvidia CUDA Graphics processing unit OpenACC OpenCL SIMD Computing Computer hardware Parallel computing
273	CURAND LIBRARY PG_v7.0 \| March 2015 Programming Guide Add to Reading List Source URL: docs.nvidia.com Language: English - Date: 2015-02-18 15:11:46 Randomness CUDA GPGPU Graphics hardware Nvidia Random number generation Integer Pseudorandomness Ip Computing Computer programming Software engineering
274	Applying Parallel Design Techniques to Template Matching with GPUs Robert Finis Anderson, J. Steven Kirtzic, Ovidiu Daescu Department of Computer Science Jonsson School of Engineering University of Texas at Dallas Add to Reading List Source URL: vecpar.fe.up.pt Language: English - Date: 2010-09-10 17:11:24 Video cards Computing Nvidia Electronics Graphics processing unit Parallel computing OpenCV CUDA AccelerEyes Computer hardware Graphics hardware GPGPU
275	Harmony: An Execution Model and Runtime for Heterogeneous Many Core Systems Gregory Diamos and Sudhakar Yalamanchili School of Electrical and Computer Engineering, Georgia Institute of Technology Atlanta, Georgia, USA {G Add to Reading List Source URL: www.gdiamos.net Language: English - Date: 2011-06-30 03:27:09 GPGPU Parallel computing Graphics hardware Video cards Stream processing Kernel Thread Multi-core processor CUDA Computing Computer architecture Computer engineering
276	Collision-Streams: Fast GPU-based Collision Detection for Deformable Models Min Tang1 Dinesh Manocha2 1 Add to Reading List Source URL: gamma.cs.unc.edu Language: English - Date: 2010-12-13 04:40:58 Computing Graphics hardware Nvidia Video game development Stream processing CUDA Graphics processing unit GeForce 400 Series Collision detection Computer hardware Video cards GPGPU
277	Dynamic Compilation of Data-Parallel Kernels for Vector Processors Andrew Kerr1 , Gregory Diamos2 , S. Yalamanchili3 School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta, GA Add to Reading List Source URL: www.gdiamos.net Language: English - Date: 2012-03-06 12:51:51 Parallel computing Central processing unit GPGPU Nvidia Thread Vectorization Parallel Thread Execution CUDA SIMD Computing Concurrent computing Computer architecture
278	Efficient Sparse Matrix-Vector Multiplication on CUDA Nathan Bell∗ and Michael Garland† December 11, 2008 Abstract The massive parallelism of graphics processing units (GPUs) offers tremendous performance in many Add to Reading List Source URL: www.nvidia.com Language: English - Date: 2010-01-04 23:03:34 Sparse matrices Numerical linear algebra Matrix theory Matrices Arrays Sparse matrix Matrix representation Matrix Band matrix Algebra Linear algebra Mathematics
279	1 Author Information Andrew Kerr Add to Reading List Source URL: www.gdiamos.net Language: English - Date: 2011-06-30 03:27:08 GPGPU Graphics hardware Computer architecture Video cards Parallel computing Parallel Thread Execution CUDA Thread Graphics processing unit Computer hardware Computing Nvidia
280	Precision and Performance: Floating Point and IEEE 754 Compliance for NVIDIA GPUs Add to Reading List Source URL: docs.nvidia.com Language: English - Date: 2015-02-18 15:11:45 Numbers Multiply–accumulate operation Floating point CUDA IEEE 754-2008 IEEE 754-1985 Single-precision floating-point format GeForce 400 Series Rounding Computer arithmetic Computing Computer architecture

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