| NVIDIA CUDA: Week in Review - May 18, 2011 |
| Thursday, 19 May 2011 | ||
NVIDIA CUDA: Week in Review - May 18, 2011NVIDIA CUDA & GPU computing news from around the worldCUDA SPOTLIGHT This week's Spotlight is on John Humphrey of EM Photonics, a pioneer in GPU computing and developer of the CULA GPU-accelerated linear algebra library. Here's a preview of our interview: NVIDIA: John, what is your role at EM Photonics? John: I oversee the technical work for most of our accelerated computing projects, the majority of which employ GPU technology. I have been working with the GPU for over six years, dating back to the pre-CUDA days. NVIDIA: One of your current projects is an aircraft carrier landing modeling system for the US Navy. Tell us about it. John: The Navy has a huge desire for CFD (computational fluid dynamics) modeling for a number of reasons. Foremost among these is to be confident of the safety of both aircraft and pilot. For each vessel and aircraft pair, there are tables describing the difficulty of landings and takeoffs based on a large number of variables, such as light conditions, wind speed and direction, and approach angle.... NVIDIA: What are the main advantages of working with CUDA? John: CUDA allows for very direct expression of exactly how you want the GPU to perform a given unit of work. Ten years ago I was doing FPGA work, where the great promise was the automatic conversion of high level languages to hardware logic. Needless to say, the huge abstraction meant the result wasn't good. In the case of CUDA, we have a direct view into the hardware and can express our ideas in a way that the hardware executes directly and efficiently. Read the complete interview here: https://www.nvidia.com/object/cuda_spotlights.html CUDA DEVELOPER NEWS NVIDIA Tesla M2090 Announced: Equipped with 512 CUDA parallel processing cores, Tesla M2090 delivers 665 gigaflops of peak double-precision performance and 178 GB/sec memory bandwidth. - See: https://www.nvidia.com/object/newsroom.html Wolfram Research European Tour, June 2011: Tour will focus on accelerating quantitative analytics. Dates: June 6, London; June 7, Paris; June 14, Zurich; June 15, Frankfurt. Speakers: Dr. Andreas Binder, MathConsult GmbH; Dr. Michael Kelly, Wolfram; John Ashley, NVIDIA. - See: www.wolfram.com/events/computationalfinance2011 Abaqus v6.11 from Dassault Systemes: The new Abaqus product suite from SIMULIA (a Dassault Systemes brand) leverages GPUs to run CAE simulations twice as fast as traditional processors. - See: https://www.simulia.com/products/abaqus_fea Platform Symphony v5.1: Platform Computing, provider of cluster, grid and cloud management software, announced availability of Platform Symphony, v5.1, which includes support for CUDA. - See: https://bit.ly/gUV0eo NVIDIAN Wins Gold for Ray Tracing Research: Kirill Garanzha was awarded a gold medal by the Russian Academy of Sciences' Keldysh Institute of Applied Mathematics. Kirill's research focuses on raytracing of complex scenes on GPUs. His demo was created with a Boeing 777 dataset. - See: https://www.youtube.com/watch?v=mxx9dyPO0js India's Fastest Supercomputer: The Indian Space Research Organization (ISRO) has built India's fastest supercomputer. The system uses 400 NVIDIA Tesla C2070 GPUs. Its theoretical peak performance is 220 teraflops while consuming only 150 kilowatts of power. - See: https://www.isro.org/pressrelease/scripts/pressreleasein.aspx?May02_2011 Read CUDA: Week in Review on the web at: https://www.nvidia.com/object/cuda_week_in_review_newsletter.html
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