Welcome to CUDA: WEEK IN REVIEW
A news summary for the worldwide CUDA, GPGPU and parallel programming community. |
|
CUDA Pro Tip: The NVIDIA System Management Interface, or nvidia-smi, is a command-line interface to the NVIDIA Management Library, NVML. nvidia-smi provides Linux system administrators with powerful GPU configuration and monitoring tools. Watch the new CUDACast about nvidia-smi. |
|
|
CUDA SPOTLIGHT |
CUDA-Accelerated Photonics
This week’s Spotlight is on Pierre Wahl, a PhD student at the Vrije Universiteit Brussel in Belgium. As a member of the Brussels Photonics Team (B-PHOT), Pierre designs energy-efficient optical interconnects and collaborates with the NVIDIA Application Lab at Julich. Read our interview with Pierre Wahl. |
|
|
CUDA NEWS |
Young Entrepreneur Award
Congrats to Manal Jalloul, winner of the ERSA Young Entrepreneur Award for her proposal titled "A Novel Parallel Computing Approach for Motion Estimation Based on Particle Swarm Optimization." Manal, a PhD student at the American University of Beirut, noted that "the NVIDIA GPU has evolved into a highly parallel, multithreaded, many-core processor with tremendous computational horsepower." |
Compute the Cure
As part of its Compute the Cure initiative, the NVIDIA Foundation is awarding up to $200k to a selected cancer research project. The Foundation has issued a request for proposals for computational genomics or proteomics projects that aim to have a dramatic impact on the battle against cancer and reduce the time it takes for research outcomes to be effective in a clinical environment. Applications are due by Oct. 7. Learn more.
Open Alpha of PIConGPU
PIConGPU is a Particle-in-Cell (PIC) code running on GPUs. By providing insight into the interaction of light and matter, PIC codes support studies across many areas, from antenna research to plasma physics. The new version is full GPL open source and free for download to developers and power users. PIConGPU is developed by the Junior Group Computational Radiation Physics at the Institute of Radiation Physics at HZDR in collaboration with the Technical University Dresden.
HPCwire Readers Choice Nominations
HPCwire is accepting nominations for its annual Readers Choice Awards. Winners will be announced at SC '13 in November in Denver, Colorado. The deadline is Sept. 4.
GTC 2014 Call for Submissions
Call for Submissions for the GPU Technology Conference (March 24-27, 2014) is open through Sept. 27.
Upcoming Webinars
Sept. 5: Data Discovery through High-Data-Density Visual Analysis, Jan-Kees Bruenen, SynerScope
Sept. 10: Virtualizing Tough 3D Workloads with VMware and NVIDIA, Mike Coleman, VMware
Sept. 12: Guided Performance Analysis with NVIDIA Visual Profiler, David Goodwin, NVIDIA
Sept. 17: ArrayFire: Productive GPU Software Library for Defense, Kyle Spafford, AccelerEyes |
|
|
NEW ON THE BLOG |
back to the top
|
Parallel Forall:
CUDACasts #7: nvidia-smi, by Mark Ebersole
CUDACasts #6: CUDA on ARM with CUDA 5.5, by Mark Ebersole
NVIDIA:
SQream Uses GPUs to Blast Through Big Data, by Alain Tiquet
In Vienna, Making Wood Waltz Down Stone Walls, by Jens Neuschafer |
|
CUDA JOB OF THE WEEK |
back to the top
|
NVIDIA seeks a parallel computing software engineer to join the developer technology team. In this role you will work with scientific application developers and collaborate with NVIDIA’s software and architecture teams. Strong knowledge of programming languages and mathematical fundaments required. Contact: CUDAopportunities@nvidia.com
(Tip for job seekers: Update your LinkedIn profile. If you have experience with parallel programming and CUDA, add these terms to your "Skills and Expertise" section.) |
|
CUDA EDUCATION |
back to the top
|
Want to improve your technical skills? Sign up for Intro to Parallel Programming.
Need CUDA advice? See list of worldwide CUDA trainers and consultants.
Have CUDA questions? Check out NVIDIA DevTalk forums and Stack Overflow.
Require fast access to docs? Visit the CUDA doc library. |
|
CUDA CALENDAR |
back to the top
|
September
2-Day CUDA Training (AccelerEyes)
|
Sept. 2-3, 2013, Boston, Mass. |
Data Discovery through High-Data-Density Visual Analysis (Webinar)
|
Sept. 5, 2013
Presenter: Jan-Kees Bruenen, SynerScope |
Parallel Processing and Applied Mathematics Conference
|
Sept. 8-11, 2013, Warsaw, Poland |
Guided Performance Analysis with NVIDIA Visual Profiler (Webinar)
|
Sept. 12, 2013
Presenter: David Goodwin, NVIDIA |
CUDA Programming Course (Delft University of Technology)
|
Sept. 13, 2013, Delft, Netherlands |
GROMACS USA Workshop and Conference
|
Sept. 13-15, 2013, Charlottesville, Virginia |
ArrayFire: Productive GPU Software Library for Defense (Webinar)
|
Sept. 17, 2013
Presenter: Kyle Spafford, AccelerEyes |
2-Day CUDA Training (AccelerEyes)
|
Sept. 23-24, 2013, Washington, D.C |
SPIE Conference on High-Performance Computing in Remote Sensing
|
Sept. 23-26, 2013, Dresden, Germany. |
4-Day CUDA Course (Acceleware)
|
Sept. 24-27, 2013, Frankfurt, Germany |
October
AMBER Workshop (CENAPAD-PE)
|
Oct. 7-11, 2013, Recife, Pernambuco, Brazil
Instructors: A. Roiberg, R. Walker, S. LeGrand, R. Salomon-Ferrer |
2-Day CUDA Training (AccelerEyes)
|
Oct. 7-8, 2013, Houston, Texas |
2-Day CUDA Training (AccelerEyes)
|
Oct. 21-22, 2013, Atlanta, Georgia |
(To list an event, email: cuda_week_in_review@nvidia.com) |
|
|
CUDA RESOURCES |
back to the top
|
|
|
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
|
|
Copyright © 2013 NVIDIA Corporation. All rights reserved. 2701 San Tomas Expressway, Santa Clara, CA 95050. |
|
|