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Register for GTC 2014 Now and Save 40%!

It’s that time of year again!  Here at NVIDIA we’re hard at work getting ready for the 2014 GPU Technology Conference, the world’s most important GPU developer conference. Taking place in the heart of Silicon Valley, GTC offers unmatched opportunities to learn how to harness the latest GPU technology including 500 sessions, hands-on labs and tutorials, technology demos, and face-to-face interaction with industry luminaries and NVIDIA technologists.

Come to the epicenter of computing technology March 24-27, and see how your peers are using GPUs to accelerate impactful results in various disciplines of scientific and computational research. Register for GTC now, because the Early Bird discount for GTC registration ends in one week on Wednesday, January 29th. The Early Bird discount is 25% on a full-conference registration, and to sweeten the deal I can offer Parallel Forall readers an extra 20% off using the code GM20PFB. That gets you four days of complete access to GTC for just $720, or $360 for academic and government employees. Don’t miss it, register now!

Here are a few talks to give you an idea of the breadth and quality of talks you will see at GTC:

In addition to talks, Monday at GTC is a full day of in-depth tutorials, such as:

We are also planning another awesome series of “Bring-your-own Laptop” hands-on tutorials (no CUDA GPU required). Last year’s sessions included CUDA C, OpenACC, Thrust, CUDA Fortran, Multi-GPU Acceleration, image/signal processing, and more. You’ll need to sign up early for these, as there is limited space. Sign up here for email notification of the 2014 hands-on sessions.

Check out the rest of the conference sessions. Many sessions are now available online, and we will be posting more in the coming weeks. You might also want to look at a past post I wrote about some of the excellent talks I saw at GTC 2012.

There is still time to share your work at GTC 2014. Call for posters is open now though January 31, 2014.

We look forward to seeing you at GTC 2014!

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About Mark Harris

Mark is Chief Technologist for GPU Computing Software at NVIDIA. Mark has fifteen years of experience developing software for GPUs, ranging from graphics and games, to physically-based simulation, to parallel algorithms and high-performance computing. Mark has been using GPUs for general-purpose computing since before they even supported floating point arithmetic. While a Ph.D. student at UNC he recognized this nascent trend and coined a name for it: GPGPU (General-Purpose computing on Graphics Processing Units), and started GPGPU.org to provide a forum for those working in the field to share and discuss their work. Follow @harrism on Twitter