617-384-9091
iacs-info@seas.harvard.edu
Thursday, January 14, 2016
9:00am - 12:00pm
Presenter: Jonathan Bentz, NVIDIA
Facilitator: Barton Fiske, NVIDIA
NVIDIA GPUs are the world’s fastest and most efficient accelerators delivering world record scientific application performance. NVIDIA CUDA is the most pervasive parallel computing model, used by over 250 scientific applications and over 150,000 developers worldwide. This workshop will focus on introducing scientific computing and programming concepts utilizing NVIDIA GPUs to accelerate applications. The workshop will introduce programming techniques using CUDA and OpenACC paradigms as well as optimization, profiling, and debugging methods for GPU programming.
Topics covered include: GPU Architecture, OpenACC, Introduction to CUDA, CUDA Libraries, and CUDA performance tools such as NVIDIA Visual Profiler along with hands on examples using NVIDIA-provided cloud based GPU resources and development tools.
This Day 1 Morning Workshop will cover:
Suggested pre-requisites for GPU and CUDA sessions:
*Laptop with wireless access and SSH client installed
*Basic Linux desktop and command line familiarity including use of a standard file editor such as VIM or Emacs.
*Familiarity with software development tools and concepts: compiling, linking and using GNUMake.
*Rudimentary programming experience in C/C++ (memory management using malloc/free, using pointers, etc)
Note: Part 2 of this workshop is offered on Friday, January 15 at 9:30am. Sign up here for the Friday workshop.