PDF-NVIDIA SURROUNDCONFIGURATIONS

2WAY SLI GTX 680 2D SURROU Graphics Processing nit GPSLI ModeConnector Diagrams Option 2 Option 3 2 monitors must be connected to the one GPU and 1 monitor to 2nd GPU The GPU with one monitor conn. Why NVIDIA GeForce Motherboard GPUs? NVIDIA NVIDIA . Corporation. © NVIDIA 2013. What is CUDA?. CUDA Architecture. Expose GPU parallelism for general-purpose computing. Retain performance. CUDA C/C++. Based on industry-standard C/C++. Small set of extensions to enable heterogeneous programming. CUDA Platform. CUDA Parallel Computing Platform. . Hardware . . . Capabilities. GPUDirect. SMX. Dynamic Parallelism. HyperQ. Programming . Approaches. Libraries. “Drop-in” Acceleration. Legend AMD specific NVIDIA specific Why Tessellate?Enables substantial geometric fidelityGPU side expansion very efficientScale performance and qualityProgrammatic LOD controlCompute at lower, adaptiv Varun Sampath. University of Pennsylvania. CIS 565 - Spring 2012. Agenda/GPU Decoder Ring. Fermi / GF100 / GeForce GTX 480. “Fermi Refined” / GF110 / GeForce GTX 580. “Little Fermi” / GF104 / GeForce GTX 460. OpenACC. Directives. subroutine . saxpy. (n, a, x, y) . real :: x(:), y(:), a. integer :: n, . i. $!. acc. kernels. do . i. =1,n.   y(. i. ) = a*x(. i. )+y(. i. ). . enddo. $!. acc. end kernels. 2WAY SLI GTX 680 2D SURROU Graphics Processing nit (GPSLI ModeConnector Diagrams Option 2 Option 3 2 monitors must be connected to the one GPU and 1 monitor to 2nd GPU. The GPU with one monitor conn Supercomputing. The Next wave of HPC. Presented by Shel Waggener. HP Materials from Marc Hamilton. June. , . 2011. © Copyright 2011 Hewlett-Packard Development Company, L.P.    . GPUs – changing the Economics of Supercomputing. Quadro for AutoCAD. NVIDIA Quadro . Built for Professionals. NVIDIA Quadro graphics Maximizes AutoCAD productivity. Unprecedented Performance & Quality. Advanced Display Support . Maximize System Uptime. Intel. ®. Core i5 and i7 “. Calpella. ” Based Platforms . October, 2010. NVIDIA Quadro. Range of Professional Graphics Solutions. Images courtesy of Softimage Co. and Avid Technology Inc., model provided by Acony Games.. heterogeneous programming. Brian Gregor. bgregor@bu.edu. Research Computing Services. Boston University. CUDA C/C BASICS. NVIDIA . Corporation. © NVIDIA 2013. What is CUDA?. CUDA Architecture. Expose GPU parallelism for general-purpose computing. Corporation. © NVIDIA 2013. What is CUDA?. CUDA Architecture. Expose GPU parallelism for general-purpose computing. Retain performance. CUDA C/C . Based on industry-standard C/C . Small set of extensions to enable heterogeneous programming. CUDA C/C++ Basics Supercomputing 2011 Tutorial Cyril Zeller, NVIDIA Corporation CUDA NEW FEATURES AND UPDATES 2 ANNOUNCING CUDA 10.2 Download today at: https://developer.nvidia.com/cuda - downloads Plus Compiler, Tools and Library Enhancements & Performance Improvements See Relea