Welcome to CUDA: Week In Review
News and resources for the worldwide GPU and parallel programming community. |
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| Thank you to everyone who participated in GTC 2014. During four action-packed days in San Jose, 550 talks and 175 posters were presented, along with 50+ developer labs and tutorials and 40 hangout sessions. Content is available online now for registrants and will be available to all in late April. In the meantime, you can view the keynotes here and posters here. |
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CUDA PRO TIP |
| Did you know you can increase performance with NVIDIA GPU Boost? GPU Boost makes use of any power headroom to improve application performance. Learn all about it on the Parallel Forall Blog. |
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CUDA SPOTLIGHT |
 CUDA-Accelerated Simulation
This week’s Spotlight is on Paul Richmond, a Vice Chancellor’s Research Fellow at the University of Sheffield (a CUDA Research Center). Paul’s research interests relate to the simulation of complex systems and parallel computer hardware. He is the developer of FLAME GPU (Flexible Large-scale Agent Modeling Environment for the GPU). Read the Spotlight. |
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CUDA NEWS |
Global Impact Award Announced
The NVIDIA Global Impact Award was announced at GTC. The Award is an annual grant of $150,000 for groundbreaking work using NVIDIA technology to address the world's most important social and humanitarian problems. Researchers, non-profit institutions and universities based anywhere in the world may apply at http://impact.nvidia.com. Nominations are due Dec. 12, 2014.
New PGI Product
PGU has released Free PGI for OS X. It includes the PGI high-performance parallel C99 and Fortran 2003 compilers and parallel debugger for 64-bit and 32-bit Intel processor-based Macs. |
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UPCOMING GPU WEBINARS |
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April 22: Large-scale DFT Calculations on GPUs, H. Kulik, MIT
May 13: Overview of AMBER 14, R. Walker, UCSD and S. Le Grand, Amazon Web Services
June 3: Next Steps for Folding@home, V. Pande, Stanford |
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NEW ON THE BLOG |
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Parallel Forall:
Jetson TK1: Mobile Embedded Supercomputer Takes CUDA Everywhere, M. Harris
NVLink, Pascal and Stacked Memory: Feeding the Appetite for Big Data, D. Foley
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 NVIDIA:
Matter Matters: Understanding Anti-Matter with the Help of GPUs, T. Kontzer |
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CUDA CALENDAR |
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2014
4-Day CUDA Course (Acceleware)
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May 6-9, 2014, Calgary, AB, Canada |
IEEE Int’l Parallel & Distributed Processing Symposium
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May 19-23, 2014, Phoenix, Arizona |
PRACE Scientific and Industrial Conference
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May 20-22, 2014, Barcelona Spain |
1-Day CUDA Course (Delft University of Technology)
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June 5, 2014, Delft, Netherlands
Instructors: Kees Vuik & Kees Lemmens |
Intro to GPGPU Programming (XSEDE)
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June 16-20, 2014
(Virtual course delivered at multiple locations) |
4-Day CUDA Course (Acceleware)
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June 24-27, 2014, San Jose, Calif. |
Programming Heterogeneous Systems in Physics (Workshop)
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July 14-15, 2014, Jena, Germany |
HPCS 2014
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July 21-25, 2014, Bologna, Italy |
(To list an event, email: cuda_week_in_review@nvidia.com) |
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CUDA RESOURCES |
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Online Learning |
| Udacity | Coursera | APC Russia |
CUDA Consulting |
| Training, programming and project development services are available from CUDA consultants around the world. To be considered for inclusion on list, email: cuda_week_in_review@nvidia.com. |
GPU Test Drive |
| Want to try Tesla K40 for free? Sign up here. |
CUDACasts |
| Check out our new series of short videos about CUDA. |
Tell Us Your CUDA Story |
| If you are a CUDA developer, tell us how you are using CUDA. |
GPU-Accelerated Apps |
| See updated list of 270+ GPU-accelerated applications. |
GPU Meetups |
| Learn about Meetups in your city, or start one up. |
CUDA Documentation |
| The CUDA documentation site includes release notes, programming guides, manuals and code samples. |
NVIDIA Developer Forums |
| Join us on the NVIDIA DevTalk forums to share your experience and learn from other developers. You can also ask questions on Stack Overflow, using the ’cuda’ tag. |
GPU Computing on Twitter |
| For daily updates about GPU computing and parallel programming, follow @gpucomputing on Twitter. |
Downloads |
CUDA
Nsight |
CUDA on the Web |
CUDA Spotlights
CUDA Newsletters
CUDA Zone
GPU Test Drive
GPUComputing.net
GPGPU.org
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NVIDIA Newsletters |
Sign up for NVIDIA Newsletters, including Media & Entertainment, GeForce, NVIDIA GRID VDI and Shield.
Please fill out our reader survey so we can improve in 2014. Thanks! |
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ABOUT CUDA |
CUDA® is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU). NVIDIA provides a complete toolkit for programming on the CUDA architecture, supporting standard computing languages such as C, C++ and Fortran. Send comments to cuda_week_in_review@nvidia.com
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 Copyright © 2014 NVIDIA Corporation. All rights reserved. 2701 San Tomas Expressway, Santa Clara, CA 95050. |
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