CUDA: WEEK IN REVIEW

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.