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Graphic Processor Units for Many-particle Dynamics

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1. Configuring ABAQUS for subroutine programming [pdf]

2. Configuring Visual Studio 2008 build Environment for CUDA GPU Accelerated Programming [pdf]

3. Installing CATIA V5R18 [pdf]

4. Installing Simulia ABAQUS [pdf]

 

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$150,000 AWARD FOR RESEARCHERS, UNIVERSITIES WORLDWIDE

NVIDIA is calling on global researchers to submit their innovations for the NVIDIA Global Impact Award - an annual grant of $150,000 for groundbreaking work that addresses the world's most important social and humanitarian problems. 

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Unified Memory in CUDA 6

With CUDA 6, we’re introducing one of the most dramatic programming model improvements in the history of the CUDA platform, Unified Memory. In a typical PC or cluster node today, the memories of the CPU and GPU are physically distinct and separated by the PCI-Express bus. Before CUDA 6, that is exactly how the programmer has to view things. Data that is shared between the CPU and GPU must be allocated in both memories, and explicitly copied between them by the program. This adds a lot of complexity to CUDA programs.

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