Developed in partnership with NVIDIA, this hands-on four day course will teach students how to write and optimize applications that fully leverage the multi-core processing capabilities of the GPU. Taught by Acceleware developers who bring real world experience to the class room, students will benefit from:

• Hands-on exercises and progressive lectures
• Individual laptops equipped with NVIDIA GPUs for student use
• Small class sizes to maximize learning

July 29 – August 1, 2013, San Jose, CA, USA. More information: http://www.acceleware.com/training/913

This webinar will present CUDA, focusing on practical aspects. The webinar will be conducted by APC, supported by NVIDIA. The webinar will be held Thursday, May 16, 2013 at 11:00-12:00 am Moscow time. Participants are asked to register at https://attendee.gotowebinar.com/register/8697482572284069888

The LEAP (Low-energy application parallelism) conference hosts an interactive tutorial on applying formal analysis and verification techniques to OpenCL and CUDA kernels on Wed 22nd May 2013 in London,UK. Whether working on kernels for supercomputing, finance or mobile applications this tutorial will help developers overcome the common pitfalls in GPU programming such as data races and barrier divergence. Using plenty of worked examples and demos to encourage interactive discussion this session will highlight the practical benefits of using formal verification techniques to prove that kernels are free from defects. More information: http://www.leapconf.com

The following new webinars about NVIDIA Tesla K20 have been announced. During these live webinars, developers will be able to get answers directly from the presenters.

• In French: March 4, 2013 2:00 PM – 3:00 PM CET: https://www2.gotomeeting.com/register/395558514
• In German: March 7, 2013 10:00 AM – 11:00 AM CET: https://www2.gotomeeting.com/register/801382202
• In English: March 8, 2013 11:00 AM – 12:00 PM CET: https://www2.gotomeeting.com/register/701679306

This class teaches the fundamentals of parallel computing with the GPU and the CUDA programming environment. Examples are based on a series of image processing algorithms, such as those in Photoshop or Instagram. Programming and running assignments on high-end GPUs is possible, even if you don’t own one yourself. The course started Monday 4th Feb 2013 so there is still time to join. More information and enrollment: https://www.udacity.com/course/cs344.

AccelerEyes has released dates for their upcoming CUDA and OpenCL training courses.

CUDA

• Feb 25-26, Houston, TX
• Mar 4-5, Washington D.C.
• Mar 25-26, Los Angeles, CA
• Apr 9-10, Seattle, WA
• Apr 15-16, San Francisco, CA

OpenCL

• Feb 27-28, Houston, TX
• Mar 6-7, Washington D.C.
• Mar 27-28, Los Angeles, CA
• Apr 11-12, Seattle, WA
• Apr 17-18, San Francisco, CA

More information can be found on the courses’ webpages.

Acceleware has recently announced four courses on parallel programming:

• OpenCL on AMD APU CPUs: Jan 29 to Feb 1, 2013, Chicago, IL and Apr 9 to Apr 12, 2013, Los Angeles, CAL
• 4 Day CUDA Course with an Oil and Gas focus: Mar 12 to Mar 15, 2013, Houston, TX
• 4 Day C++ AMP Training: Apr 23 to Apr 26, 2013, Seattle, WA

More information is available on the courses’ webpages.

GPUs have become a corner stone of computational research in high performance computing with over 200 commonly used applications already GPU-enabled. Researchers across many domains, such as Computational Chemistry, Biology, Weather & Climate, and Engineering, are using GPU-accelerated applications to greatly reduce time to discovery by achieving results that were simply not possible before.

Join Devang Sachdev, Sr. Product Manager, NVIDIA for an overview of the most popular applications used in academic research and an account of success stories enabled by GPUs. Learn also about a complimentary program which allows researchers to easily try GPU-accelerated applications on a remotely hosted cluster or Amazon AWS cloud.

Register at http://www.gputechconf.com/page/gtc-express-webinar.html.

Seeing speedups of an accelerated application is great, but what does it take to build a codebase that will last for years and across architectures? In this webinar, John Stratton will cover some of the insights gained at the University of Illinois at Urbana-Champaign from experience with computer architecture, programming languages, and application development.

The webinar will offer three main conclusions including:

1. Performance portability should be more achievable than many people think.
2. The number one performance-limiting factor now and in the future will be parallel scalability.
3. As much as we care about performance, general libraries that will last have to be reliable as well as fast.

Register at http://www.gputechconf.com/page/gtc-express-webinar.html

The “Ludwig” lattice Boltzmann fluid dynamics application is a versatile application capable of simulating the hydrodynamics of complex fluids, (e.g. mixtures, surficants, liquid crystals, particle suspensions) to allow cutting-edge research into condensed matter physics. On October 3, Dr. Alan Gray from the University of Edinburgh presents a webinar on his team’s experiences in scaling the application on the Cray XK6 hybrid supercomputer. The presentation will cover:

• A review of excellent scaling up to O(1000) GPUs
• Steps taken to maximize performance on each GPU
• Designing the communication to allow efficient usage of many GPUs in parallel, including the overlapping of several stages using CUDA stream functionality
• Advanced functionality, including how to include colloidal particles in the simulation while minimizing data transfer overheads

Register at http://www.gputechconf.com/page/gtc-express-webinar.html.