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261	GPUDirect over 40GbE iWARP RDMA High Performance CUDA Clustering with Chelsio’s T5 ASIC Executive Summary NVIDIA’s GPUDirect technology enables direct access to a Graphics Processing Unit (GPU) over the PCI bus, shor Add to Reading List Source URL: www.chelsio.com Language: English - Date: 2015-04-01 18:19:34 Parallel computing Local area networks Computer memory Remote direct memory access IWARP InfiniBand ISCSI Chelsio Communications Mellanox Technologies Computing Supercomputers Computer networks
262	This is the author’s version of the work. The definitive work was published in Transactions on High-Performance Embedded Architectures and Compilers (Transactions on HiPEAC), 2011. Efficient Mapping of Streaming Applic Add to Reading List Source URL: www12.informatik.uni-erlangen.de Language: English - Date: 2011-01-13 06:59:48 GPGPU Graphics hardware Parallel computing Video cards CUDA Thread OpenCL Memory barrier Kernel Computing Computer hardware Concurrent computing
263	This is the author’s version of the work. The definitive work was published in Proceedings of the Conference on Design, Automation and Test in Europe (DATE), Dresden, Germany, March 24-28, 2014. Code Generation for Emb Add to Reading List Source URL: www12.informatik.uni-erlangen.de Language: English - Date: 2014-03-25 17:29:01 Graphics hardware OpenCL Graphics processing unit CUDA OpenCV Mali Very long instruction word Parallel computing Multi-core processor GPGPU Computing Computer hardware
264	KOODERIVE: MULTI-CORE GRAPHICS CARDS, THE LIBOR MARKET MODEL, LEAST-SQUARES MONTE CARLO AND THE PRICING OF CANCELLABLE SWAPS MARK S. JOSHI Abstract. We discuss the pricing of cancellable swaps using the displaced diffusi Add to Reading List Source URL: fbe.unimelb.edu.au Language: English - Date: 2014-04-02 01:38:24 Economics Graphics hardware GPGPU Interest rates Options CUDA LIBOR market model Yield curve Risk-neutral measure Financial economics Mathematical finance Finance
265	This is the author’s version of the work. The definitive work was published in Proceedings of the 25th International Conference on Architecture of Computing Systems (ARCS), Munich, Germany, February 28–March 2, 2012. Add to Reading List Source URL: www12.informatik.uni-erlangen.de Language: English - Date: 2012-02-23 09:19:58 Computer hardware Graphics hardware Concurrent computing Scheduling algorithms Video cards CUDA Scheduling Kernel OpenCL Computing GPGPU Computer architecture
266	This is the author’s version of the work. The definitive work was published in Proceedings of the 9th IEEE Symposium on Application Specific Processors (SASP), San Diego, CA, USA, June 5-6, 2011. Frameworks for GPU Acc Add to Reading List Source URL: www12.informatik.uni-erlangen.de Language: English - Date: 2011-05-19 10:11:51 GPGPU Video cards Graphics hardware Nvidia Parallel computing OpenCL CUDA Graphics processing unit RapidMind Computing Software Computer programming
267	This is the author’s version of the work. The definitive work was published in Proceedings of the 11th International Symposium on Parallel and Distributed Computing (ISPDC), Munich, Germany, June 25–29, 2012. Automat Add to Reading List Source URL: www12.informatik.uni-erlangen.de Language: English - Date: 2012-07-05 07:42:01 Graphics hardware Nvidia Computing OpenCL CUDA Graphics processing unit Nvidia Tesla Comparison of Nvidia graphics processing units Evergreen Computer hardware GPGPU Video cards
268	This is the author’s version of the work. The definitive work was published in Proceedings of the 2nd International Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing (WOLFHP Add to Reading List Source URL: www12.informatik.uni-erlangen.de Language: English - Date: 2012-11-28 04:06:28 Video cards Computing Graphics hardware Software Computational science OpenCL Stencil codes CUDA Kernel GPGPU Nvidia Computer hardware
269	This is the author’s version of the work. The definitive work was published in Proceedings of the 26th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Shanghai, China, May 21–25, 2012. Generat Add to Reading List Source URL: www12.informatik.uni-erlangen.de Language: English - Date: 2012-07-05 07:42:21 Software Graphics hardware Nvidia Video cards OpenCL CUDA Graphics processing unit Kernel Mathematica Computing GPGPU Mathematical software
270	This is the author’s version of the work. The definitive work was published in Proceedings of the 10th International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (HeteroPar Add to Reading List Source URL: www12.informatik.uni-erlangen.de Language: English - Date: 2012-09-03 06:37:37 Graphics hardware Computing Nvidia OpenCL CUDA Graphics processing unit Nvidia Tesla Parallel computing Evergreen GPGPU Computer hardware Video cards

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