Welcome to CUDA: Week In Review
News and resources for the worldwide GPU and parallel programming community. |
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CUDA PRO TIP |
CUDA 6 introduces a new reciprocal hypotenuse function, rhypot(x,y). This provides fast and robust computations of Givens Rotations. Learn more on the Parallel Forall Blog. |
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CUDA SPOTLIGHT |
GPU-Accelerated Deep Learning
Our Spotlight is on Dr. Ren Wu, distinguished scientist at Baidu IDL (Institute of Deep Learning). Dr. Wu is known for his pioneering research in using GPUs to accelerate big data analytics as well as his contribution to large-scale clustering algorithms via the GPU. Read the Spotlight. |
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CUDA NEWS |
Women in GPU Computing: Call for Submissions
This summer, NVIDIA will highlight women around the world who are innovators in GPU computing, including women just starting out in their careers. "It's a good way to remind people that women write code, participate in open-source projects and invent things," comments Lorena Barba, CUDA Fellow and associate professor at George Washington University. "It's important to make the technology world more attractive to female students and show them examples of women who are innovators." Learn more.
CUDA 6 Report
The CUDA 6 Performance Report is now available. To learn more, download the PDF or listen to the podcast of NVIDIA's Will Ramey speaking with Nicole Hemsoth of HPCwire.
Allinea Supports CUDA 6
Allinea Software announced that the new version of its debugging tools, Allinea DDT 4.2.1, now offers full support for CUDA 6. Allinea DDT 4.2.1 allows developers to maximize their use of Unified Memory and other new CUDA performance and usability features.
NVIDIA Developer Forums
Join us on the NVIDIA DevTalk forums to ask questions, share your experiences and learn from other developers. You can also ask questions on Stack Overflow, using the 'cuda' tag. |
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UPCOMING GPU WEBINARS |
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May 20: Using GPUs for Big Data, A. O'Connor, Exelis
May 22: C++ on GPUs Using OpenACC and PGI Compilers, M. Wolfe
May 28: Intro to CUDA Programming, C. Mason, Acceleware
June 3: Next Steps for Folding@home, V. Pande, Stanford
June 4: Using GPUs in a Holographic Radar System, P. Wurmsdobler, Aveillant |
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UPCOMING GPU MEETUPS |
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May 19: Silicon Valley
May 20: Paris
May 20: Moscow
May 29: Singapore
May 29: Boston |
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NEW ON THE BLOG |
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Parallel Forall:
Adaptive Parallel Computation with CUDA Dynamic Parallelism, A. Adinetz
CUDACast: CUDA 6 Guided Performance Analysis with Visual Profiler, M. Ebersole
CUDA Pro Tip: Fast and Robust Computation of Givens Rotations, M. Harris
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NVIDIA:
Parallel Lives: Women in GPU Computing, L. Caplinger |
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CUDA CALENDAR |
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MAY
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 |
JUNE
Amber Workshop 2014
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June 2-7, 2014, Barcelona, Spain
Instructors: Ross Walker & Adrian Roitberg |
1-Day CUDA Course (Delft University of Technology)
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June 5, 2014, Delft, Netherlands
Instructors: Kees Vuik & Kees Lemmens |
Systems Day at Technion - Israel Institute of Technology
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June 9, 2014, Haifa, Israel
(Includes mobile GPU track, co-organized with SagivTech) |
Intro to GPGPU Programming (XSEDE)
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June 16-20, 2014
(Virtual course delivered at multiple locations) |
4-Day GPU Computing Course (SagivTech)
ISC ’14
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June 22-26, 2014, Leipzig, Germany |
HPDC ’14
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June 23-27, 2014, Vancouver, Canada |
4-Day CUDA Course (Acceleware)
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June 24-27, 2014, San Jose, Calif. |
JULY
GPU Tech Workshop Taiwan (NVIDIA)
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July 8, 2014, Taipei, Taiwan |
GPU Tech Workshop SE Asia (NVIDIA)
Programming Heterogeneous Systems in Physics (Workshop)
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July 14-15, 2014, Jena, Germany |
GPU Tech Conference Japan (NVIDIA)
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July 16, 2014, Tokyo, Japan |
GPUs and Scientific Applications (University of Alicante)
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July 21-24, 2014, Alicante, Spain |
CUDA Programming Course (Oxford University)
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July 21-25, 2014, Oxford, UK
Instructor: Mike Giles |
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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