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CUDA
Results: 950

#	Item
521	SAGE: Self-Tuning Approximation for Graphics Engines Mehrzad Samadi1 , Janghaeng Lee1 , D. Anoushe Jamshidi1 , Amir Hormati2 , and Scott Mahlke1 1 2 Advanced Computer Architecture Laboratory Google Inc. Add to Reading List Source URL: cccp.eecs.umich.edu Language: English - Date: 2013-11-04 13:15:23 Parallel computing GPGPU Nvidia Threads Kernel Program optimization Speedup CUDA Multithreading Computing Concurrent computing Computer hardware
522	Parsing in Parallel on Multiple Cores and GPUs Mark Johnson Centre for Language Sciences and Department of Computing Macquarie University Sydney, Australia [removed] Add to Reading List Source URL: www.alta.asn.au Language: English - Date: 2011-12-09 02:13:51 GPGPU Parallel computing Graphics hardware Video cards Formal languages Parsing CUDA Earley parser OpenMP Computing Computer programming Computer hardware
523	Microsoft Word - Course report_tts_rev_2.docx Add to Reading List Source URL: www.nusri.cn Language: English Computer hardware Computational geometry Voronoi diagram Computer science Algorithm CUDA Delaunay triangulation Programming paradigm Mathematics Geometry Triangulation
524	Welcome! GPUs have become a major force in HPC National & commercial supercomputer installations Changing the landscape with “personal supercomputing” Emerging ecosystem of tools, vendors, languages, codes Add to Reading List Source URL: gpgpu.org Language: English - Date: 2014-08-11 19:24:51 Video cards Computing Graphics hardware CUDA Nvidia Tesla FLOPS AccelerEyes Graphics processing unit Microway Computer hardware Nvidia GPGPU
525	ARCSGPGPU and CUDA Tutorials Dominik Göddeke, Simon Green, Robert Strzodka ARCS 2008 – Architecture of Computing Systems Add to Reading List Source URL: www.mathematik.tu-dortmund.de Language: English - Date: 2008-02-27 05:12:18 Graphics hardware Video cards Electronics Parallel computing Nvidia CUDA Multi-core processor Graphics processing unit Computer hardware GPGPU Computing
526	CUDA GPU Computing Tutorial Organisers and presenters: Dominik Göddeke (University of Stuttgart, Germany) Robert Strzodka (Heidelberg University, Germany) Manuel Ujaldón (University of Malaga, Spain, and Nvidia CUDA Fe Add to Reading List Source URL: www.ppam.pl Language: English - Date: 2015-03-21 07:25:42 Graphics hardware Video cards Nvidia Parallel computing CUDA Nvidia Tesla Graphics processing unit FLOPS Multi-core processor Computer hardware GPGPU Computing
527	Scalable Fast Multipole Methods on Distributed Heterogeneous Architectures Qi Hu [removed] ∗ Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2011-10-02 19:44:29 Graphics hardware Video cards Nvidia Computational science CUDA Graphics processing unit Parallel computing FLOPS Fast multipole method Computer hardware Computing GPGPU
528	PROC. OF THE 9th PYTHON IN SCIENCE CONF. (SCIPY[removed]Theano: A CPU and GPU Math Compiler in Python James Bergstra, Olivier Breuleux, Frédéric Bastien, Pascal Lamblin, Razvan Pascanu, Guillaume Desjardins, Joseph Add to Reading List Source URL: conference.scipy.org Language: English - Date: 2014-01-28 07:23:54 Array programming languages GPGPU Graphics hardware Cross-platform software Theano Nvidia NumPy CUDA Python Software Computing Mathematical software
529	Academic CV Jun.-Prof. Dr. rer. nat. Dominik Göddeke born August 22, 1978 in Düren, Germany Contact Information Technische Universität Dortmund Fakultät für Mathematik – Lehrstuhl 3 Add to Reading List Source URL: www.mathematik.tu-dortmund.de Language: English - Date: 2014-09-22 06:58:33 Computer hardware GPGPU Video cards Partial differential equations Parallel computing CUDA Multigrid method GPU cluster Lis Computing Graphics hardware Concurrent computing
530	AMD’s Prototype HSAIL-enabled JDK8 for the OpenJDK Sumatra Project JVM LANGUAGE SUMMIT ERIC CASPOLE JULY 2013 Add to Reading List Source URL: www.oracle.com Language: English Video cards Graphics hardware Cross-platform software Graphics chips OpenCL CUDA Graphics processing unit Advanced Micro Devices FLOPS Computing Computer hardware GPGPU

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