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 Alan . Gray. EPCC . The University of Edinburgh. Outline. Why do we want/need accelerators such as GPUs?. Architectural reasons for accelerator performance advantages . Latest accelerator Products. NVIDIA and AMD GPUs. Håkon Kvale . Stensland. iAD-lab, Department for Informatics. Basic 3D Graphics Pipeline. Application. Scene Management. Geometry. Rasterization. Pixel Processing. ROP/FBI/Display. Frame. Buffer. Memory. using BU Shared Computing Cluster. Scientific Computing and Visualization. Boston . University. GPU Programming. GPU – graphics processing unit. Originally designed as a graphics processor. Nvidia's. 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. II. GPGPUs. Instructor:Mikko. H . Lipasti. Spring 2015. University of Wisconsin-Madison. Lecture notes based on slides created by John . Shen. , Mark Hill, David Wood, . Guri. . Sohi. , Jim Smith, Natalie Enright . 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.. ITS Research Computing. Mark Reed . Objectives. Learn why computing with accelerators is important. Understand accelerator hardware. Learn what types of problems are suitable for accelerators. Survey the programming models available. 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 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