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 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

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.

Register today up now for a webinar series on how to use the Intel® SDK for OpenCL Applications to best utilize the CPU and Intel® HD Graphics of 3rd Gen Intel® Core™ processors for developing OpenCL applications:

• July 11 – Getting Started with Intel® SDK for OpenCL Applications
• July 18 – Writing Efficient Code for OpenCL Applications
• July 25 – Creating and Optimizing OpenCL Applications

AMD offers an OpenCL Programming Webinar Series to help software developers become experts in the latest technologies, standards and best practices. The series of three OpenCL webinars will be presented by Rob Farber.

1. April 10th, 10AM PDT: Introducing Portable Parallelism

• C and C++ APIs
• OpenCL Memory Spaces
• The OpenCL Execution Model

2. April 24th, 10AM PDT: Coordinating OpenCL Computations on one more Heterogeneous Devices

• How to Concisley Utilize Multiple Command Queues and Coordinate Tasks Across Multiple Heterogeneous Devices such as two GPU + CPU
• Code Sample Discussion: Massively Parallel Random Number Test Framework

3. May 1st, 10AM PDT: Accelerate Rendering by an Order of Magnitude with OpenCL, Plus a View to the Multi-core and Web-enabled Future

• How to use OpenCL to Provide High-Quality, Fast Rendering in Combination with Primitive Restart
• Device Fission, Partitioning Hardware Capabilities for Optimal Resource Usage
• Looking to the Future – WebCL

Registration is limited. More Information: http://developer.amd.com/zones/OpenCLZone/Events/pages/OpenCLWebinars.aspx

A webinar by Jack Pappas, CEO and Co-Founder of Tidepowerd is being hosted by NVIDIA this coming Wednesday at 9am PST.

Tidepowerd have created GPU.NET, a software tool which allows developers to write GPU-accelerated code in managed languages like C# and VB.NET.

Remote Access: GoToMeeting
Date & Time: Thursday, December 10 at 15:00 CST

Abstract:

OpenCL is a new industry standard programming system for developing parallel programs that typically execute on heterogeneous computing systems. OpenCL has much in common with NVIDIA´s CUDA programming toolkit, but differs in a number of important respects as a result of its goal of supporting a broader range of target hardware platforms. This talk will introduce OpenCL and provide some basic comparisons with other programming systems.

Bio: John Stone is a Senior Research Programmer in the Theoretical and Computational Biophysics Group at the Beckman Institute for Advanced Science and Technology. Mr. Stone is the lead developer of VMD, a high performance molecular visualization tool used by researchers all over the world. His research interests include molecular visualization, GPU computing, parallel processing, ray tracing, haptics, and virtual environments.

Click here to register for the webinar.