PPT-GPU Programming using BU Shared Computing Cluster

Research Computing Services Boston University GPU Programming Access to the SCC Login tuta Password VizTut GPU Programming Access to the SCC GPU nodes copy tutorial materials . Dr A . Sahu. Dept of Comp Sc & . Engg. . . IIT . Guwahati. 1. Outline. Graphics System . GPU Architecture. Memory Model. Vertex Buffer, Texture buffer. GPU Programming Model. DirectX. , OpenGL, . ENVIRONMENT. . The High Performance Computing environment consists of high-end systems used for executing complex number crunching applications for research it has two such machines and they are,. . 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. Gareth James Hani Adhami. Senior Consultant Senior Consultant. WSV423. Agenda. Overview of Cluster Shared Volumes (CSV). What’s changed in Windows Server 2012. New CSV Architecture. P. erformance Enhancements. Overview:. What the Heck is Supercomputing?. Joshua Alexander, U Oklahoma. Ivan . Babic. , Earlham College. Michial. Green, Contra Costa College. Mobeen. . Ludin. , Earlham College. Tom Murphy, Contra Costa College. Lecture 2: more basics. Recap. Can use GPU to solve highly parallelizable problems. Straightforward extension to C++. Separate CUDA code into .cu and .. cuh. files and compile with . nvcc. to create object files (.o files). Add GPUs: Accelerate Science Applications. © NVIDIA 2013. Small Changes, Big Speed-up. Application Code. . GPU. C. PU. Use GPU to Parallelize. Compute-Intensive Functions. Rest of Sequential. CPU Code. Computational Lab. Scott Sammons. Kevin Tang. Chandni Desai. Sequencing Lab. Mike Frace. Missy Olsen-Rasmussen. Marina Khristova. Lori Rowe. Pacific Biosciences SMRT sequencer. . Ion Torrent Personal Gene Machine. Leiming Yu, Fanny Nina-Paravecino, David Kaeli, Qianqian Fang. 1. Outline. Monte Carlo . eXtreme. GPU Computing. MCX. in OpenCL. Conclusion. 2. Monte Carlo . eXtreme. Estimates the 3D light (. fluence. A Tale of Two Cities: GPU Computing and Machine Learning Dr. Xiaowen Chu Department of Computer Science, Hong Kong Baptist University Outline 2 Some Stories of “Two Cities” Evolution of CPUs/ Waters. Introduction to GPU Computing. Brief History of GPU Computing. Technical Issues. Social Impact. Marketing and Ethical . Issues. Project Management. Conclusion. Table of Contents. A . GPU is . Scientific Computing and Visualization. Boston . University. GPU Programming. GPU – graphics processing unit. Originally designed as a graphics processor. Nvidia's. GeForce 256 (1999) – first GPU. Martin Burtscher. Department of Computer Science. High-end CPU-GPU Comparison. . Xeon 8180M. . Titan V. Cores 28 5120 (+ 640). Active threads 2 per core 32 per core. Frequency 2.5 (3.8) GHz 1.2 (1.45) GHz. Jerry Adams. 1. , Bradley Hittle. 2. , Eliot Prokop. 3. , . Ronny Antequera. 3. , Dr.Prasad Calyam. 3. University of Hawaii-West Oahu. 1. , . The . Ohio State University. 2. , University of Missouri-Columbia.