Index of /examples/gpu/tutorials

[ICO]NameLast modifiedSizeDescription

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

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