Index of /examples/gpu/tutorials

Name	Last modified	Size

Parent Directory		-
Intro_to_GPU.pptx	2015-09-14 15:03	2.0M
Readme	2014-06-06 12:02	1.1K
deeplearning/	2017-02-14 09:23	-
deviceQuery/	2017-02-14 08:22	-
gemm/	2018-08-13 10:38	-
gpu_matlab/	2016-01-28 09:12	-
gpu_r/	2016-09-21 11:49	-
helloCuda/	2018-06-28 11:28	-
l2a&file_extension=txt	2018-02-01 16:01	486
rse.zip	2018-02-01 16:01	486
vectorAdd/	2018-03-19 09:57	-

RCS "Introduction to GPU Programming" Tutorial Examples

This directory contains a set of examples/excersizes for RCS Tutorial "Introduction to GPU Programming"

Directory Structure

deviceQuery - a simple C program to query GPU devices available
helloCuda - an example of CUDA code that outputs a message from each CUDA thread
vectorAdd - a simple example of CUDA kernel to add 2 vectors
gemm - directory containning GEMM (from BLAS library) algorithm implemented in C, CUDA and OpenACC
gpu_matlab - a directory containing matlab examples that use GPUs

Usage notes

Each directory contains Readme file with detailed instructions. Load module cuda/5.0 to link and run cuda code:
module load cuda/5.0

Contact Information

Research Computing Services: help@scc.bu.edu

Operating System Requirements

The examples presented in this directory were written for Linux OS, but should work on any OS where
- c and nvcc compilers available
- NVIDIA's GPU(s) with compute capability 2.0 and higher
- Matlab version 2012a and higher

Updates

2013-06-01: The first version of Intro to GPU programming tutorial created