| NVIDIA CUDA and GPU Computing News |
| Saturday, 23 April 2011 | ||
NVIDIA CUDA and GPU Computing NewsNVIDIA CUDA: Week in Review -- Issue 53CUDA SPOTLIGHT
Tools for Microsurgeons NVIDIA: Kang, what are you working on at Johns Hopkins? Kang: My current research focuses on interventional Optical Coherence Tomography (OCT) technology for microsurgery. Conventionally, visualization during microsurgery is realized with a surgical microscope, which limits the surgeon's field of view and causes limited depth perception of micro-structures and tissue planes beneath the surface. Such issues commonly exist in many kinds of microsurgeries, such as ophthalmic surgery, neurological surgery and otolaryngologic surgery. OCT is a new imaging modality capable of non-invasive 3D micrometer-resolution imaging, which makes it highly suitable for guiding microsurgery. As part of my PhD work, I developed an ultra-high-speed, real-time OCT imaging system using a hardware-software platform based on GPU technology. NVIDIA: What are some advantages of working with CUDA? Kang: Thanks to CUDA's great parallel processing ability, we achieved a >20X speedup of OCT image reconstruction and demonstrated the first GPU-based real-time 4D (3D + time) OCT system. Read the complete interview here. https://www.nvidia.com/object/cuda_spotlights.html CUDA DEVELOPER NEWS The Future of Computing Performance: Game Over or Next Level? A new report by the National Research Council concludes that "the end of dramatic exponential growth in single-processor performance marks the end of the dominance of the single microprocessor in computing. The era of sequential computing must give way to a new era in which parallelism is at the forefront." See: https://bit.ly/hYqH2H International Exascale Software Project: The goal of IESP is develop a plan for producing a new software infrastructure capable of supporting exascale applications. The most recent meeting was held on Apr. 6-7 in San Francisco. See: https://bit.ly/huWMlE UGENE Wins Award: UniPro7's UGENE won an award for the "Efficient Use of GPU Accelerators to Solve Large Problems," sponsored by T-Platforms. UGENE is a free cross-platform genome analysis suite optimized by GPUs. See: https://ugene.unipro.ru/index.html HOOMD-Blue v0.9.2: HOOMD-Blue performs general-purpose particle dynamics simulations on a single workstation, taking advantage of GPUs to attain better performance. New release supports CUDA 4.0. See: https://gpgpu.org/2011/04/06/hoomd-blue-0-9-2 PGI 2011 v11.4: New release supports GPU-related features, including expanded support for libm math routines. See: https://www.pgroup.com/support/new_rel.htm Read CUDA: Week in Review on the web at: https://www.nvidia.com/object/cuda_week_in_review_newsletter.html
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