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371	A comparison of GPU architectures •  Disclaimer #1: the following slides describe “how I think” about the NVIDIA GTX 280, ATI Radeon 4870, and Intel Larrabee GPUs Add to Reading List Source URL: graphics.stanford.edu Language: English - Date: 2008-08-13 19:03:14 Graphics hardware Nvidia GPGPU Parallel computing Larrabee CUDA SIMD OpenCL GeForce Computer hardware Video cards Computing
372	Allinea DDT User Guide Version Allinea DDT v$VERSION Contents Add to Reading List Source URL: www.scc.kit.edu Language: English - Date: 2013-04-09 09:45:30 Parallel computing GPGPU Concurrent computing Application programming interfaces Debuggers CUDA OpenMP DDT Debugging Computing Computer programming Software
373	MULTI-PROCESS SERVICE vR331 \| March 2014 Multi-Process Service Add to Reading List Source URL: docs.nvidia.com Language: English - Date: 2014-09-02 16:59:30 Nvidia Video cards Graphics hardware Electronics Parallel computing CUDA Graphics processing unit Nvidia Tesla Multi-core processor Computing Computer hardware GPGPU
374	Par4All: From Convex Array Regions to Heterogeneous Computing Mehdi Amini1,2 Béatrice Creusillet2 Stéphanie Even2 Ronan Keryell2 Add to Reading List Source URL: www.cri.ensmp.fr Language: English - Date: 2012-02-02 05:11:34 Parallel computing GPGPU Graphics hardware Video cards Programming language implementation OpenMP CUDA OpenCL Automatic parallelization Computing Software Computer programming
375	Parallel & Concurrent Haskell 7: GPGPU programming with Accelerate Simon Marlow What is GPGPU programming? Add to Reading List Source URL: community.haskell.org Language: English - Date: 2012-07-03 05:01:48 Graphics hardware GPGPU Video cards Procedural programming languages Video game hardware CUDA Array data structure Graphics processing unit Array programming Computing Software engineering Computer programming
376	Technische Universiteit Delft Faculteit Elektrotechniek, Wiskunde en Informatica Delft Institute of Applied Mathematics Het versnellen van CONTACT-programmatuur met behulp van de Graphics Processing Unit. Add to Reading List Source URL: ta.twi.tudelft.nl Language: English - Date: 2010-08-25 08:12:02 Computing Video cards Video game development Nvidia CUDA Graphics processing unit SURF Computer hardware Graphics hardware GPGPU
377	Whitepaper NVIDIA GeForce GTX 680 The fastest, most efficient GPU ever built. V1.0 Add to Reading List Source URL: www.geforce.com Language: English - Date: 2013-05-02 20:20:31 Graphics hardware GeForce 500 Series GeForce CUDA Comparison of Nvidia graphics processing units Nvidia Tesla Graphics processing unit Nvidia Ion GeForce 400 Series Nvidia Video cards Computer hardware
378	Dimitrije Vujadinović Direktor Balkankulta NORDIJSKA PANORAMA - PRVIH DESET GODINA Nije to mala stvar deset godina organizovati meñunarodni filmski festival u zemlji čuda, kakva je Srbija. Nordijska panorama, festival Add to Reading List Source URL: www.balkankult.org Language: Croatian - Date: 2015-03-10 09:36:44
379	Arbitrary Dimension Reed-Solomon Coding and Decoding for Extended RAID on GPUs Matthew L. Curry and Anthony Skjellum H. Lee Ward and Ron Brightwell Add to Reading List Source URL: www.pdsi-scidac.org Language: English - Date: 2008-11-16 19:12:55 Video cards Computing Nvidia Video game hardware CUDA Graphics processing unit RAID GeForce Standard RAID levels Computer hardware GPGPU Graphics hardware
380	Whitepaper NVIDIA GeForce GTX 980 Featuring Maxwell, The Most Advanced GPU Ever Made. V1.1 Add to Reading List Source URL: international.download.nvidia.com Language: English - Date: 2014-11-11 19:07:32 Graphics hardware GeForce CUDA Comparison of Nvidia graphics processing units GeForce 500 Series Graphics processing unit GPGPU Transform clipping and lighting Tegra Nvidia Video cards Computer hardware

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