Sci GPU - Computer Networking
Computer Networking and EducationSubmitted by admin on Thurs, 09/27/2012 - 13:19 These days the majority of industries rely on computer networks, and the functioning of national economies depend increasingly on the continued development and maintentance of networks. An education in computer networking can provide you with a systematic understanding of the field of computer networks, including a wide range of perspectives such as the underlying principles of how they and their associated technologies work, a practical look at industry-standard network products and the running mission-critical networks inside real companies and organisations.
Digital TechnologySubmitted by admin on Fri, 07/13/2012 - 9:05 There is an ever-growing demand for skilled professionals as advancements in digital technologies such as network communications, computers, high-speed internet, mobile devices and software create a fast-moving and dynamic part of the global ecomomy. Studying Computer Networks and Systems is a gateway to gaining knowledge and experience designing, securing, analyzing, and buiding networks ready to face the challenges of the future.
Quantum Chemistry CalculationsSubmitted by admin on Mon, 12/22/2008 - 14:41 The elementary steps in all chemical reactions are essentially quantum mechanical. Their study requires the use of heavy computational resources that usually consume a significant fraction of the computer time at national supercomputer centers. Quantum chemistry calculations can help in many areas of science, ranging from the understanding of complex enzyme mechanisms in biology to the design of new materials and the prediction of molecules in space.
The ConnectomeSubmitted by admin on Mon, 12/22/2008 - 14:37 The overall goal of the Connectome project is to map, store, analyze and visualize the actual neural circuitry of the peripheral and central nervous systems in experimental organisms, based on a very large number of images from high-resolution microscopy. The proposing team from the Center for Brain Sciences has already demonstrated its capacity for, and expertise in, high-throughput imaging. The critical challenges are computational, as the total number of voxels needed to establish the Connectome is ~1014.
Murchison Widefield Array Processing PipelineSubmitted by admin on Mon, 12/22/2008 - 14:01 The Murchison Wide-field Array is a next-generation radio telescope being built in Australia to study the early universe, the sun, space weather, and time variability of the radio sky. Cosmologists will use the MWA to map matter in the Universe during the Epoch of Reionization soon after the Big Bang, when the earliest stars, galaxies, and quasars formed. That is the MWA's job by night, when the environment is most radio quiet.
NSF CDI FundingSubmitted by admin on Mon, 12/22/2008 - 13:46 The SciGPU project is funded through an NSF CDI grant. The principal investigators on the three initial projects (the MWA telescope, quantum chemistry and the Connectome) recognised their common computational needs, and wrote a joint grant proposal. In addition to funding new researchers and hardware purchases, their proposal included a commitment to reach out to the wider community through the SciGPU.org website. Login or register to post comments
Why GPGPU Programming?Submitted by admin on Tue, 12/02/2008 - 13:15 Most modern computers contain a parallel processing device of almost unprecedented power. With hundreds of processors linked to high bandwidth memory banks, this computational monster can chomp through tasks with easeHowever, this device is disguised as a graphics card, and so few are aware of its existence. Unless used for playing games, the graphics processing unit (GPU) in a modern machine is little used.
MGEMM: Heterogeneous ComputingSubmitted by admin on Tue, 12/02/2008 - 13:13 Although NVIDIA recently introduced their G200 multiprocessor, most CUDA capable GPUs currently in use only have single precision arithmetic available. Some scientific calculations require double precision arithmetic for accuracy, limiting the calculations which can be put into distributed clients. We wrote MGEMM to alleviate this problem.
GEMMcutter: Coping with an amnesiac graphics cardSubmitted by admin on Tue, 12/02/2008 - 13:12 In the future, we can expect HPC clusters to provide 1:1 matching of CPU and GPU memory. However, many GPUs are in machines where substantially more host memory is available than on the graphics card. GEMMcutter is a wrapper for the GEMM routines in BLAS, which stage the multiplication of large matrices on the graphics card. Many graphics cards have substantially less onboard RAM than their host computers. In the case of a matrix multiply, one must therefore be prepared for the possibility that the matrices will fit into the host's RAM, but not onto the graphics card.
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