PDF-Whitepaper NVIDIAs Next Generation CUDA TM Compute Architecture Fermi TM V

1 brPage 2br Table of Contents Table of Contents Table of Contents Table of Contents A Brief History of GPU Computing 3 The G80 Architecture. brPage 1br Whitepaper NVIDIAs Next Generation CUDA TM Compute Architecture Kepler TM GK110 The Fastest Most Efficient HPC Architecture Ever Built brPage 2br Dynamic Parallelism HyperQ G heterogeneous programming. Katia Oleinik. koleinik@bu.edu. Scientific Computing and Visualization. Boston . University. Architecture. NVIDIA Tesla M2070: . Core clock: 1.15GHz . Single instruction . 448 CUDA cores . DPF 2015 – University of Michigan, Ann Arbor. . Alejandro Lopez . in collaboration with: C. Savage, D. Spolyar and D. Adams. Outline:. Brief Introduction. Goal. Technique. Results. Conclusion. Future Work. (Fermi acceleration at shock: most standard, nice powerlaw, few free parameters). main . signatures to . be determined: . E. min . , . E. max. [. Ã. timescale . t. acc. (E. ) ], . spectral slope . NVIDIA Corporation. Tesla GPU Computing. A Revolution in High Performance Computing. Agenda. CUDA Review. Architecture. Programming Model. Memory Model. CUDA C. CUDA General Optimizations. Fermi. Next Generation Architecture. 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. Overview. GPU Ocelot overview. Building, configuring, and executing Ocelot programs. Ocelot Device Interface and CUDA Runtime API. Ocelot PTX Internal Representation. PTX Pass Manager. 2. Ocelot: Multiplatform Dynamic Compilation. in Tunnel Junctions. Jin Zhang. , Y. Sherkunov, N. d’Ambrumenil, B. Muzykantskii. University of Warwick, U.K.. APS March Meeting, Portland, 17. th. , March, 2010. Fermi-Edge Singularity. Sudden change . :. Native & Convenient Heterogeneous. Computing for D. Outline. Introduction. Compiler. Libraries. Using . DCompute. (present and future). Future directions. State of Hardware. X86 . –. all compilers. on . Ubuntu. Cuda. download site. . https://developer.nvidia.com/cuda-downloads. $ . sudo. . dpkg. -. i. cuda-repo-ubuntu1404_7.5-18_amd64.deb . $ . sudo. apt-get update . $ . sudo. apt-get install . Fermi-Hubbard model. NSF, Simons Foundation. , . AFOSR MURI, NNSFC. , . CAS, NKBRSFC. ICTP, Oct.28, 2014. Youjin. . Deng, USTC. Evgeny. . Kozik. , King’s College. Boris . Svistunov. . Umass. , Amherst. introduce the use of multiple CUDA streams to overlap memory transfers with kernel computations.. Also introduced is paged-locked memory. 2. Page-locked host memory. (also called pinned host memory). Fermi National Accelerator Lab December 13, 2017 . How we usually think of him. Or perhaps . l. ike . t. his . How I think of him. There’s a story behind that orange line on the right of the image…... Semiconductors. Faculty Name : . Dr.Anju. Dixit MSME Department UIET CSJM University Kanpur. 1. Course . Code: MSE-S303 . . Electronic . and Optical Materials. Recap. The material which has electrical conductivity between that of a conductor and that of an insulator is called as semiconductor. Silicon, germanium and graphite are some examples of semiconductors..