| NVIDIA CUDA: Week in Review - Issue 61 |
| Wednesday, 31 August 2011 | ||
NVIDIA CUDA: Week in Review - Issue 61CUDA SPOTLIGHTGPU-Accelerated Biophotonics This week's spotlight is on Alexander Doronin, a PhD candidate in the Biophotonics & Biomedical Imaging Research Group at the University of Otago in New Zealand. NVIDIA: Alex, what is biophotonics? Alex: Biophotonics refers to the interaction between biology and photonics. Photonics is a science that deals with the particle properties of light. A number of revolutionary applications have arisen in the field of photonics as a result of advancements in high technology and the miniaturization of solid-state optical/laser devices. A recent trend is the mapping of photonics technologies to the life sciences and medicine -- hence the term "biophotonics" was coined. It is a fast moving and very exciting area of research.
Alex: One example is cancer diagnostics. The current, most widely-used methodology for cancer diagnosis is histological analysis with microscopy. However, morphological variations (and especially morphological changes associated with early grades of cancer tissue) are difficult to resolve regarding what type or sub-type of cancer is present. In our research, we are investigating the use of circular polarized light -- and the manipulation of the coherent properties of light -- to improve cancer diagnostics. The technique has the potential to revolutionize the ability to detect cancer at the very early stage. Read the complete interview here: https://developer.nvidia.com/cuda-spotlights CUDA DEVELOPER NEWS GTC Asia: NVIDIA announced that GTC Asia will take place on Dec. 14-15, 2011 at the China National Convention Center in Beijing. www.gputechconf.cn GTC Call for Submissions: NVIDIA is now accepting poster proposals for the following:
See: https://www.gputechconf.com/page/worldwide-submissions.html A GPU Mini-Supercomputer for Every Scientist: The new GPU Starter Kit from HP is a pre-configured system that provides researchers with a ready-to-use GPU computing cluster, straight out of the box. It combines eight HP ProLiant SL390 G7 servers (containing 24 Tesla M2070 GPUs) with 16 CPUs. It is pre-configured with CUDA 4.0. For info, read Roy Kim's recent blog on A GPU Mini-Supercomputer for Every Scientist or send an email to: Hpc-sales (at) hp.com. MAGMA v1.0 Supports Tesla GPUs: The Innovative Computing Laboratory (ICL) at the University of Tennessee has released MAGMA v1.0 with support for NVIDIA Tesla GPUs. The MAGMA (Matrix Algebra for GPU and Multicore Architectures) Project aims to create a next generation of linear algebra libraries on heterogeneous systems. The ICL is directed by Dr. Jack Dongarra. https://icl.cs.utk.edu/magma/software/index.html Gaussian to Support GPU Acceleration: NVIDIA, Gaussian, Inc., and The Portland Group (PGI) will develop a GPU-accelerated release of Gaussian, the quantum chemistry software app. https://www.nvidia.com/object/newsroom.html Read CUDA: Week in Review on the web at: https://developer.nvidia.com/cuda-news
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NVIDIA: What's an example of an application that could benefit from biophotonics?
