'Cuda' presentation slideshows

DNA Gene Identification

DNA Gene Identification. Speed, Accurate and Efficient way to identify the DNA. AGENDA. DNA Overview. Sequence Alignment. Problem & Previous Solutions. GPU & CUDA. Implemented Solution. GUI (Ribbon). Results. AGENDA. DNA Overview.

651 views • 44 slides

CUDA and GPU Training Workshop April 21, 2014

CUDA and GPU Training Workshop April 21, 2014. University of Georgia CUDA Teaching Center. UGA CUDA Teaching Center. UGA, through the efforts of Professor Thiab Taha, has been selected by NVIDIA as a CUDA Teaching Center, est. 2011 Presenters: Jennifer Rouan and Sayali Kale

601 views • 42 slides

Analyzing CUDA Workloads Using a Detailed GPU Simulator

Analyzing CUDA Workloads Using a Detailed GPU Simulator . Ali Bakhoda, George L. Yuan, Wilson W. L. Fung, Henry Wong and Tor M. Aamodt University of British Columbia. GPUs and CPUs on a collision course 1 st GPUs with programmable shaders in 2001

582 views • 31 slides

Basic CUDA Programming

Basic CUDA Programming. Shin-Kai Chen skchen@twins.ee.nctu.edu.tw VLSI Signal Processing Laboratory Department of Electronics Engineering National Chiao Tung University. What will you learn in this lab?. Concept of multicore accelerator Multithreaded/multicore programming

423 views • 31 slides

Basic CUDA Programming

Basic CUDA Programming. Shin-Kai Chen skchen@twins.ee.nctu.edu.tw VLSI Signal Processing Laboratory Department of Electronics Engineering National Chiao Tung University. What will you learn in this lab?. Concept of multicore accelerator Multithreaded/multicore programming

424 views • 31 slides

Piero Lanucara

Piero Lanucara. CASPUR experiences in developing, porting and improving large Fortran applications coming from Environmental studies: from clusters to manycore architectures. 1. Computational Mathematics and Applications Group of HPC CASPUR. Piero Lanucara (Appl. Math., Manager of CMA)

467 views • 29 slides

An Introduction to Programming with CUDA Paul Richmond

An Introduction to Programming with CUDA Paul Richmond. GPUComputing@Sheffield http://gpucomputing.sites.sheffield.ac.uk/. Overview. Motivation Introduction to CUDA Kernels CUDA Memory Management. Overview. Motivation Introduction to CUDA Kernels CUDA Memory Management.

391 views • 28 slides

CUDA

CUDA. Antonyus Pyetro do Amaral Ferreira. The problem. The advent of multicore CPUs and manycore GPUs means that mainstream processor chips are now parallel systems. The challenge is to develop application software that transparently scales its parallelism. A solution.

455 views • 27 slides

Training Program on GPU Programming with CUDA

Training Program on GPU Programming with CUDA. 31 st July, 7 th Aug, 14 th Aug 2011 CUDA Teaching Center @ UoM. Day 1, Session 2 CUDA Programming Model CUDA Threads. Training Program on GPU Programming with CUDA. Sanath Jayasena CUDA Teaching Center @ UoM. Outline for Day 1 Session 2.

504 views • 27 slides

479 views • 26 slides

ITCS 4/5145GPU Programming, UNC-Charlotte, B. Wilkinson, April 4, 2013 CUDAProgModel

CUDA Programming Model. These notes will introduce: Basic GPU programming model CUDA kernel Simple CUDA program to add two vectors together Compiling the code on a Linux system. ITCS 4/5145GPU Programming, UNC-Charlotte, B. Wilkinson, April 4, 2013 CUDAProgModel.ppt. Programming Model.

384 views • 25 slides

ITCS 6/8010 CUDA Programming, UNC-Charlotte, B. Wilkinson, Jan 20, 2011

CUDA Programming Model. These notes will introduce: Basic GPU programming model CUDA kernel Simple CUDA program to add two vectors together Compiling the code on a Linux system. ITCS 6/8010 CUDA Programming, UNC-Charlotte, B. Wilkinson, Jan 20, 2011. Programming Model.

451 views • 24 slides

Fast matrix multiplication with CUDA

Fast matrix multiplication with CUDA. Overview. Platform GEFORCE 8800GT, 512MB Core: G92, Shader frequency: 1.5 GHz, Mem frequency: 900 MHz Performance Tuned for 4k x 4k matrix, 192 GFlops Revisiting the Tiled version Using large tiles Base algorithm Optimized algorithm Tools and tips.

410 views • 19 slides

Parallel Programming with CUDA

Parallel Programming with CUDA. Matthew Guidry Charles McClendon. Introduction to CUDA. CUDA is a platform for performing massively parallel computations on graphics accelerators CUDA was developed by NVIDIA It was first available with their G8X line of graphics cards

383 views • 18 slides

GPU programming: CUDA

GPU programming: CUDA. Acknowledgement: the lecture materials are based on the materials in NVIDIA teaching center CUDA course materials, including materials from Wisconsin ( Negrut ), North Carolina Charlotte ( Wikinson /Li) and NCSA ( Kindratenko ). CUDA.

267 views • 14 slides

End Semester Project for course Parallel Computing

227 views • 12 slides

Score-P Hands-On CUDA: Jacobi example

Score-P Hands-On CUDA: Jacobi example. Jacobi Solver. Jacobi Example Iterative solver for system of equations Code uses OpenMP , CUDA and MPI for parallelization Domain decomposition Halo exchange at boundaries: Via MPI between processes Via CUDA between hosts and accelerators.

257 views • 11 slides

Book Review

Book Review. CUDA PROGRAMMING: A DEVELOPERS GUIDE TO PARALLEL COMPUTING WITH GPUS SHANE COOK. Categories of CUDA Topics. November 2012 576 Pages $48.70. Table of Contents:. A Short History of Supercomputing Understanding Parallelism with GPUs CUDA Hardware Overview Setting up CUDA

245 views • 7 slides

Accelerating MATLAB with CUDA

Accelerating MATLAB with CUDA. Massimiliano Fatica NVIDIA mfatica@nvidia.com Won-Ki Jeong University of Utah wkjeong@cs.utah.edu. Overview. MATLAB can be easily extended via MEX files to take advantage of the computational power offered by the latest NVIDIA GPUs (G8x):

189 views • 4 slides

NVIDIA CUDA

NVIDIA CUDA. ?????? 8 ( 03.12.2012 ). ????????? NVIDIA CUDA. Driver + SDK + Toolkit + Nsight https:// developer.nvidia.com/cuda-downloads Old https:// developer.nvidia.com/nsight-eclipse-edition https:// developer.nvidia.com/nvidia-nsight-visual-studio-edition.

318 views • 3 slides