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GPGPU stands for General-Purpose computation on Graphics Processing Units, also known as

GPU Computing. Graphics Processing Units (GPUs) are high-performance many-core processorscapable of very high computation and data throughput. Once specially designed for computer

graphics and difficult to program, todays GPUs are general-purpose parallel processors with

support for accessible programming interfaces and industry-standard languages such as C.Developers who port their applications to GPUs often achieve speedups of orders of magnitude vs.

optimized CPU implementations. The goal of GPGPU.org is to catalog the current and historicaluse of GPUs for general-purpose computation, and to provide a central resource for GPGPU

software developers.

The term GPGPU was coined and GPGPU.org was founded by Mark Harris in 2002 when he

recognized an early trend of using GPUs for non-graphics applications. GPGPU.org has grownfrom an obscure site visited by few into a popular destination for developers and researchers.

A 2 day CUDA workshop will be held in Berlin from July 2-3, for developers who want to learn

how to program and utilize the Graphics Processing Unit (GPU) using NVIDIAs CUDA

programming framework. No prior knowledge of parallel computing concepts is necessary, butsome basic C/C++ knowledge will be required.

On May 30th 2012, the CUDA research center at TU Darmstadt and Fraunhofer IGD hosted theintroductory workshop on OpenACC and CUDA C/C++. Participation on this workshop was

possible without prior knowledge of computing on graphics processing units (GPUs) or

parallelization using OpenACC. The aim of this workshop was getting a broad overview of the fewtopics in several lectures that were held. Topics which were covered during this workshop were:

Nvidia Tesla Overview

General Overview of GPU Programming with CUDA C/C++

General overview of GPU Acceleration with OpenACC Directives

During the workshop, participants were able to visit the hardware exhibition hosted byCADnetwork GmbH, where new NVIDIA hardware architectures could be seen.

The CUDA research center at TU Darmstadt and Fraunhofer IGD will host an introductory

workshop on OpenACC and CUDA C/C++ on May 30th 2012. The workshop is intended for a

broad audience - no prior knowledge of computing on GPUs (graphics processing units) orparallelization using OpenACC is required. Participants will get a broad overview of the topic in

several lecture and have the opportunity to interact with the speakers during the coffee break andover lunch.

http://oazis-cvetov.ru/http://www.markmark.net/http://www.markmark.net/http://oazis-cvetov.ru/

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Participation in the workshop including coffee break and lunch is free. We strongly request advanceregistration until Friday May 25th, 2012 in order to plan accordingly. Catering may not be available

for later registrations.