| NVIDIA CUDA: Week in Review - Issue 58 |
| Saturday, 30 July 2011 | ||
NVIDIA CUDA: Week in Review - Issue 58NVIDIA CUDA & GPU computing news from around the worldCUDA SPOTLIGHT This week's Spotlight is on Jesse Rosenzweig, CTO and co-founder of Elemental Technologies. Here's an extract from our interview: NVIDIA: Jesse, what is your role at Elemental? Jesse: I act as the glue between customers, partners, and our engineering, marketing and QA teams. In addition, I lead an R&D team that constantly builds prototypes and scopes out future technologies to integrate into our products.
Jesse: Every pixel of every frame of a video source into our system is decompressed, processed and even recompressed using the GPU and our proprietary video processing pipeline. This allows us to not only get extremely fast video processing, but also to offload the CPUs to accommodate audio processing, security, content wrapping, database management and content serving while providing a responsive user interface, even during a heavy system load. NVIDIA: As CTO, why did you choose to work with GPUs? Jesse: As consumers look to view video on every device imaginable, the demand for video formatting is skyrocketing and scalability is critical. As needed, we can integrate advanced GPUs with more processors and everything will run quicker or process in new, more resource-efficient ways. Read the complete interview here: https://developer.nvidia.com/cuda-spotlights (Would you like to be in the CUDA Spotlight? Email: This e-mail address is being protected from spam bots, you need JavaScript enabled to view it ) CUDA DEVELOPER NEWS PGI CUDA-x86 Shipping: PGI is shipping its CUDA C/C++ compiler for x86. PGI CUDA-x86 processes CUDA C and CUDA C++ as a native parallel programming language to run on multi-core x86. With this release, developers can compile and execute a variety of CUDA C and CUDA C++ codes to run on x86 today. A 15-day free trial is available.www.pgroup.com/cuda-x86 FastROCS for Drug Discovery: FastROCS is now publicly available from OpenEye Scientific Software. FastROCSis an extremely fast 3D molecular shape comparison program running on Tesla GPUs. It was developed in collaboration with industry partners including Abbott Labs and Pfizer. www.eyesopen.com/fastrocs Encryption with CUDA: Xoom Data Services announced its CudaCrypt encryption software, which uses the GPU to process large files like video and engineering plans with "military-grade" security. www.prweb.com/releases/2011/6/prweb8594876.htm GPUs in the Geosciences: A session on "High-Resolution Modeling in the Geosciences Using GPU and Many-Core Architectures" will be held at the AGU (American Geophysical Union) meeting in December. Session abstracts are due August 4.https://sites.agu.org/fallmeeting/scientific-program/session-search/530 NEW ON THE BLOG Drexel Takes Off to Big Science Frontiers with GPUs Cornell Collaboration Explores GPU Computing + MATLAB Joining Forces with Beijing Genomics Institute, CUDA Engineer Takes Busman's Holiday in Turkey Fight Global Warming with GPU Computing and C++ Read CUDA: Week in Review on the web at: https://developer.nvidia.com/cuda-news
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