GPGPU » Tag: Tutorials & Courses :: GPGPU.org

Acceleware CUDA™ Training – Life Science Focus

dom — Wed, 02 May 2012 06:50:37 +0000

Partnering with NVIDIA and Microsoft, this four day CUDA training course is designed for Researchers and Programmers in the life science industries who are looking to develop comprehensive skills in writing and optimizing applications that fully leverage the many-core processing capabilities of the GPU. It is held in Boston, MA, on June 4-7, 2012. This course will have a life science theme. Commonly used algorithms such as Monte Carlo methods, FFT and filtering will be used and profiled in examples. The case study on day 4 focuses on the efficient implementation of a molecular dynamics simulation. More information: http://www.acceleware.com/jun4boston

Acceleware 4 Day CUDA™ Course, Calgary

dom — Tue, 17 Apr 2012 16:14:44 +0000

Partnering with NVIDIA, this four day course (May 8-11, 2012) is designed for Programmers who are looking to develop comprehensive skills in writing and optimizing applications that fully leverage the multi-core processing capabilities of the GPU.

Delivered by Acceleware Developers, who provide real world experience and examples, the training comprises of classroom lectures and hands-on tutorials. Each student will be supplied with a laptop equipped with NVIDIA GPUs for the duration of the course. Small class sizes maximize learning and ensure a personal educational experience.

More information: http://www.acceleware.com/may8calgary

Acceleware OpenCL™ Training in NYC

Mark Harris — Wed, 29 Feb 2012 01:56:31 +0000

Developed in partnership with AMD, this four day course is designed for GPU Programmers who are looking to develop comprehensive skills in writing and optimizing applications that fully leverage the multi-core processing capabilities of the GPU.

Delivered by Acceleware’s Developers, who provide real world experience and examples, the training comprises classroom lectures and hands-on tutorials. Each student will be supplied with a laptop equipped with an AMD Fusion APU for the duration of the course. Small class sizes maximize learning and ensure a personal educational experience.

Acceleware CUDA™ Training in Houston, TX – Oil & Gas Focused

Mark Harris — Tue, 21 Feb 2012 05:48:19 +0000

Partnering with NVIDIA and Microsoft, this four-day CUDA training course is designed for GPU Programmers in the oil-and-gas industry who are looking to develop comprehensive skills in writing and optimizing applications that fully leverage the many-core processing capabilities of the GPU.

Acceleware CUDA™ Training in Moutain View, CA

Mark Harris — Tue, 21 Feb 2012 05:46:11 +0000

Partnering with NVIDIA and Microsoft, this four-day CUDA training course is designed for GPU Programmers who are looking to develop comprehensive skills in writing and optimizing applications that fully leverage the many-core processing capabilities of the GPU.

Acceleware 4 Day CUDA Course

Mark Harris — Fri, 06 Jan 2012 12:08:40 +0000

Partnering with NVIDIA and Microsoft, this four day course is designed for Programmers who are looking to develop comprehensive skills in writing and optimizing applications that fully leverage the multi-core processing capabilities of the GPU.

Delivered by Acceleware’s Developers, who provide real world experience and examples, the training comprises classroom lectures and hands-on tutorials. Each student will be supplied with a laptop equipped with NVIDIA GPUs for the duration of the course. Small class sizes maximize learning and ensure a personal educational experience.

OpenCL training in Utrecht, Netherlands

dom — Fri, 03 Jun 2011 11:07:21 +0000

On June 28, 2011 StreamComputing will present a one-day course on OpenCL in Utrecht. The course covers general GPU computing principles and OpenCL specifics in a top-down fashion, including lectures and short lab sessions. Topics include:

OpenCL debunked: getting to understand how OpenCL is engineered.
GPU-amenable Algorithms
GPU Architecture & Optimization
Software engineering, wrapper languages, code re-use and integration with existing software.
Debugging

At least 2 years of programming experience in Java, C++ or Objective C is preferred.

AMD Fusion Developer Summit

dom — Wed, 30 Mar 2011 00:51:18 +0000

Heterogeneous computing is moving into the mainstream, and a broader range of applications are already on the way. As the provider of world-class CPUs, GPUs, and APUs, AMD offers unique insight into these technologies and how they interoperate. We’ve been working with industry and academia partners to help advance real-world use of these technologies, and to understand the opportunities that lie ahead. It’s time to share what we’ve learned so far.

With tutorials, hands-on labs, and sessions that span a range of topics from HPC to multimedia, you’ll have the opportunity to expand your view of what heterogeneous computing currently offers and where it is going. You’ll hear from industry innovators and academic pioneers who are exploring different ways of approaching problems, and utilizing new paradigms in computing to help identify solutions. You’ll meet AMD experts with deep knowledge of hardware architectures and the software techniques that best leverage those platforms. And you’ll connect with other software professionals who share your passion for the future of technology.

Learn more at developer.amd.com/afds.

Pan-American Advanced Studies Institutes: Materials now online

dom — Wed, 02 Feb 2011 00:42:08 +0000

The Pan-American Advanced Studies Institute (PASI)—”Scientific Computing in the Americas: the challenge of massive parallelism”—was held in Valparaiso, Chile on 3–14 January 2011. The event hosted 14 lecturers and 68 participants, thanks to NSF/DOE funding. Lecture materials are now available publicly: PDFs of the lecture slides on the PASI website, and screencasts (video) via an iTunes U course and on YouTube also).

Presentations from the 2nd UK GPU Computing Conference

dom — Sun, 02 Jan 2011 18:29:48 +0000

Almost all the presentations from the recent UK GPU Computing Conference held on December 13-14 2010 in Cambridge are now available at http://www.many-core.group.cam.ac.uk/ukgpucc2/programme.shtml. Over 100 delegates saw a varied mix of talks from both industry and academia over the 2 day meeting.