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template for GPU programming course

GPGPU Programming

Date: Tuesday, Dec 7, 2010 - Thursday, Dec 9, 2010, 10:00-17:00
Location: LRZ Building, University campus Garching, near Munich
Contents:

Heterogeneous GPGPU computing promises tremendous acceleration of applications. This programming workshop includes hands-on sessions, application examples and an introduction to CUDA, CAPS, cuBLAS, cuFFT, the Portland Group Fortran Compiler, pycuda, and R. The intended audience includes scientists which want to port their simulation software to GPGPUsas well as people interested in a short overview of the available programming techniques.

Please Note: this is a first draft of the programme which may change before the Workshop: :

Day 1: Introduction to NVIDIA CUDA, CUDA Parallel Programming and hands-on (LRZ)

Day 2: HMPP (LRZ), Advanced@CUDA (nVidia)

Day 3: PGI Accelerator compilers, GPU-accelerated Software (LRZ)

Prerequisites Participants should have a fair understanding of programming in general and should have knowledge in at least one of the following programming languages: Fortran, C/C++, Python.
Language: English
Teachers: Dr. Allalen, Dr. Jamitzky, Dr. Satzger, Dr.Weinberg, Dr. Stich (from NVidia)
Registration: Via the LRZ registration form (choose course HGPU1W10)