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CUDA
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#	Item
181	Programming Environments and Libraries Dominik Göddeke (TUDo) Robert Strzodka (MPII), Christian Sigg (NVIDIA) 38th SPEEDUP Workshop on High-Performance Computing EPF Lausanne, Switzerland, September 7-8, 2009 Add to Reading List Source URL: www.speedup.ch Language: English - Date: 2009-09-10 09:08:19 Electronics OpenCL BrookGPU Stream processing CUDA AMD FireStream Parallel computing RapidMind Multi-core processor GPGPU Computing Computer hardware
182	2011 International Conference on Parallel Processing GSNP: A DNA Single-Nucleotide Polymorphism Detection System with GPU Acceleration Mian Lu∗ , Jiuxin Zhao∗ , Qiong Luo∗ , Bingqiang Wang† , Shaohua Fu† , Zhe Add to Reading List Source URL: www.cse.ust.hk Language: English - Date: 2011-11-14 21:33:18 GPGPU Video cards Electronics Nvidia CUDA Graphics processing unit Parallel computing Matrix representation Binary search algorithm Computer hardware Graphics hardware Computing
183	Towards Distributed Heterogenous High-Performance Computing with ViennaCL Josef Weinbub1 , Karl Rupp1,2 , and Siegfried Selberherr1 1 2 Add to Reading List Source URL: www.iue.tuwien.ac.at Language: English - Date: 2012-05-29 06:13:35 Graphics hardware Parallel computing Video cards Nvidia OpenCL CUDA Graphics processing unit Message Passing Interface Basic Linear Algebra Subprograms Computing Computer hardware GPGPU
184	Fine-Grain Parallelization of Entropy Coding on GPGPUs Ana Balevic Abstract Massively parallel GPUs are increasingly used for acceleration of data-parallel functions, such as image transforms and motion estimation. The l Add to Reading List Source URL: tesla.rcub.bg.ac.rs Language: English - Date: 2009-07-09 04:11:16 Graphics hardware GPGPU Video cards Parallel computing ISO standards CUDA Multi-core processor Lossless data compression Entropy encoding Computing Computer hardware Electronics
185	Jon Peddie Research Expectations, fact, and fantasy 1 Jon Peddie Research Add to Reading List Source URL: www.jonpeddie.com Language: English - Date: 2013-05-02 11:16:05 Graphics hardware Computing Fabless semiconductor companies Nvidia CUDA Graphics processing unit OpenCL Advanced Micro Devices Radeon Computer hardware GPGPU Video cards
186	Extending SLURM with support for rCUDA Why extending SLURM to support rCUDA? Previous to this extension, SLURM did not support the virtual GPUs provided by rCUDA or any other remote GPU virtualization framework. That is, Add to Reading List Source URL: www.rcuda.net Language: English - Date: 2013-11-26 05:21:55 Parallel computing Graphics hardware Cluster computing Job scheduling Simple Linux Utility for Resource Management RCUDA CUDA Graphics processing unit Computer cluster Computing Concurrent computing GPGPU
187	rCUDA: Virtualizing GPUs to reduce cost and improve performance Federico Silla Technical University of Valencia Spain Add to Reading List Source URL: www.rcuda.net Language: English - Date: 2014-11-27 04:50:54 Video cards Nvidia Graphics hardware Electronics RCUDA CUDA Graphics processing unit Nvidia Tesla Computer cluster Computing GPGPU Computer hardware
188	Modeling GPU-CPU Workloads and Systems Andrew Kerr, Gregory Diamos, and Sudhakar Yalamanchili School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta, GA Add to Reading List Source URL: www.gdiamos.net Language: English - Date: 2011-06-30 03:27:08 Computer architecture GPGPU Graphics hardware Microprocessors Parallel Thread Execution CUDA Thread OpenCL Central processing unit Computing Computer hardware Parallel computing
189	NVIDIA GeForce GTXGPU Datasheet NVIDIA GeForce GTXGPU Datasheet Add to Reading List Source URL: www.nvidia.co.kr Language: English - Date: 2010-10-01 03:15:39 Graphics hardware Computing CUDA GeForce Scalable Link Interface Nvidia PureVideo OpenCL GPGPU Graphics processing unit Nvidia Video cards Computer hardware
190	CheCUDA: A Checkpoint/Restart Tool for CUDA Applications Hiroyuki Takizawa∗ , Katsuto Sato∗ , Kazuhiko Komatsu† and Hiroaki Kobayashi† ∗ Graduate School of Information Sciences Tohoku University 6-3 Aramaki-aza Add to Reading List Source URL: www.sc.isc.tohoku.ac.jp Language: English - Date: 2009-11-25 22:49:39 Graphics hardware Video cards Nvidia Computer architecture Video game hardware CUDA Application checkpointing Graphics processing unit Thread GPGPU Computer hardware Computing

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