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Parallel processing
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#	Item
641	A Library for Removing Cache-based Attacks in Concurrent Information Flow Systems Extended Version Pablo Buiras1 , Amit Levy2 , Deian Stefan2 , Alejandro Russo1 , and David Mazi`eres2 1 Add to Reading List Source URL: www.scs.stanford.edu Language: English - Date: 2013-08-05 06:28:09 Computer programming Functional programming Control flow Monad Central processing unit Parallel computing Scheduling Futures and promises Thread Computing Software engineering Adjoint functors
642	MIC_Native_2013pptx Add to Reading List Source URL: portal.tacc.utexas.edu Language: English - Date: 2013-11-16 21:03:53 Central processing unit Parallel computing Coprocessor Xeon Intel Fortran Compiler OpenMP Secure Shell Fortran Computing Computer programming Software engineering
643	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
644	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
645	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
646	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
647	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
648	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
649	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
650	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

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