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153122A_AMD_ES_OptA_Embroidery

53122A_AMD_ES_OptA_Embroidery

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Source URL: www.amd.com

Language: English - Date: 2016-02-23 08:38:17
253122A_AMD_ES_OptA_Embroidery

53122A_AMD_ES_OptA_Embroidery

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Source URL: www.amd.com

Language: English - Date: 2016-02-23 08:38:40
353121A_AMD_RadES_Embroidery

53121A_AMD_RadES_Embroidery

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Source URL: www.amd.com

Language: English - Date: 2015-09-29 14:06:03
4Aging-Aware Compilation for GP-GPUs ATIEH LOTFI and ABBAS RAHIMI, University of California, San Diego LUCA BENINI, ETH Zurich and University of Bologna RAJESH K. GUPTA, University of California, San Diego  General-purpos

Aging-Aware Compilation for GP-GPUs ATIEH LOTFI and ABBAS RAHIMI, University of California, San Diego LUCA BENINI, ETH Zurich and University of Bologna RAJESH K. GUPTA, University of California, San Diego General-purpos

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Source URL: mesl.ucsd.edu

Language: English - Date: 2015-07-13 19:18:56
5IEEE DESIGN & TEST, SPECIAL ISSUE ON “APPROXIMATE COMPUTING”  1 C IRCA -GPUs: Increasing Instruction Reuse through Inexact Computing in GP-GPUs

IEEE DESIGN & TEST, SPECIAL ISSUE ON “APPROXIMATE COMPUTING” 1 C IRCA -GPUs: Increasing Instruction Reuse through Inexact Computing in GP-GPUs

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Source URL: mesl.ucsd.edu

Language: English - Date: 2015-12-02 16:27:15
6Composing multiple StarPU applications over heterogeneous machines: A supervised approach Andra Hugo, Abdou Guermouche, Pierre-Andr´e Wacrenier, Raymond Namyst To cite this version: Andra Hugo, Abdou Guermouche, Pierre-

Composing multiple StarPU applications over heterogeneous machines: A supervised approach Andra Hugo, Abdou Guermouche, Pierre-Andr´e Wacrenier, Raymond Namyst To cite this version: Andra Hugo, Abdou Guermouche, Pierre-

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Source URL: hal.inria.fr

Language: English - Date: 2016-06-16 14:54:48
753122A_AMD_ES_OptA_Embroidery

53122A_AMD_ES_OptA_Embroidery

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Source URL: www.amd.com

Language: English - Date: 2016-02-23 08:38:28
8

PDF Document

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Source URL: media.wiley.com

Language: English - Date: 2013-08-21 19:14:36
9NVIDIA® KEPLER GK110 NEXT-GENERATION CUDA® COMPUTE ARCHITECTURE Fastest, Most Efficient HPC Architecture With the launch of Fermi GPU in 2009,

NVIDIA® KEPLER GK110 NEXT-GENERATION CUDA® COMPUTE ARCHITECTURE Fastest, Most Efficient HPC Architecture With the launch of Fermi GPU in 2009,

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Source URL: www.nvidia.com

Language: English - Date: 2012-12-13 05:49:06
10D Appendix D: NGSS and CCSS Standards Next Generation Science Standards (NGSS) and Common Core State Standards (CCSS) in SolidWorks Educational Guides

D Appendix D: NGSS and CCSS Standards Next Generation Science Standards (NGSS) and Common Core State Standards (CCSS) in SolidWorks Educational Guides

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Source URL: blogs.solidworks.com

Language: English - Date: 2014-05-20 07:45:59