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High Performance Computing (Computer Science)

High Performance Computing using GPUs

High Performance Computing using GPUs

... High-Performance Computing has largely influenced computer technology in the field of financial analytics, data mining, image/signal processing, simulations and modeling ...achieve high ...

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High fidelity imaging and high performance computing in nonlinear EIT

High fidelity imaging and high performance computing in nonlinear EIT

... Abstract. We show that nonlinear EIT provides images with well defined characteristics when smoothness of the image is used as a constraint in the reconstruction process. We use the gradient of the logarithm of ...

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ComputeOps: containers for High Performance Computing

ComputeOps: containers for High Performance Computing

... The High Performance Computing (HPC) domain aims to optimize code to use the latest multicore and parallel technologies including specific pro- cessor ...this computing framework, portability ...

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High Performance Computing Clusters

High Performance Computing Clusters

... Thus high performance computing clusters can tackle complex workloads. Resource utilization is optimized. Due to large span of area being covered by a cluster, not all devices in the cluster fall ...

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RECENT ADVANCES IN HIGH PERFORMANCE COMPUTING

RECENT ADVANCES IN HIGH PERFORMANCE COMPUTING

... High Performance Computing uses parallel processing to perform advanced application programs in a fast, efficient, reliable ...business. High Performance Computing machines are ...

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Scientific and high-performance computing at FAIR

Scientific and high-performance computing at FAIR

... Modern high-performance computing (HPC) nodes are equipped with central processing units (CPU) with dozens of cores and graphics processing units (GPU) with thousands of arithmetic units ...

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Report of the High-Performance Computing Applications Requirements Group. III/6074/94-EN, April 1994

Report of the High-Performance Computing Applications Requirements Group. III/6074/94-EN, April 1994

... The performance and cost/performance of high-performance computing and networking HPCN provides levels of functionality either not attainable or not economically viable usina "convention[r] ...

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Development of Operational Technology for Meteorological High Performance Computing

Development of Operational Technology for Meteorological High Performance Computing

... technology, high-performance com- puting has expanded its application field and its influence has been expand- ...ing. High-performance computing is always a key area of application in ...

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Electrical and Optical Interconnects for High Performance Computing

Electrical and Optical Interconnects for High Performance Computing

... circuit performance benefits from technology scaling, the bandwidth of electrical channels does not scale with the same ...current high-speed I/O link designs are becoming channel and power ...

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High performance computing through SoC coprocessors

High performance computing through SoC coprocessors

... [DANESE G., et al.℄ A development and simulation environment for a oating point operations FPGA based aelerator, Pro. of DSD '03 3rd Euromiro Symposium on Digital System Design, Belek ([r] ...

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Energy aware performance engineering in high performance computing

Energy aware performance engineering in high performance computing

... Analytical performance modelling involves constructing detailed models of ap- plication ...gather performance data by running some representation of the target application through a detailed model of a ...

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High-performance computing for computational biology of the heart

High-performance computing for computational biology of the heart

... Neumann boundary conditions in finite differences can be maintained by the introduction of ‘fictitious’ points at points immediately outside the domain. By assigning these points values from their immediate interior ...

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Big Data on Clouds and High Performance Computing

Big Data on Clouds and High Performance Computing

... highlights performance v. productivity trade-offs. What is actual performance of Big Data implementations and what are good benchmarks? Is software sustainability important and is the Apache model a ...

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International Journal of Computer Science and Mobile Computing

International Journal of Computer Science and Mobile Computing

... In recent years a lot of work has been done concerning energy awareness in high end computing. These related research efforts are in several dimensions. In this paper, first we try to categories these ...

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Green and Sustainable High-Performance Computing with Smartphone Crowd Computing

Green and Sustainable High-Performance Computing with Smartphone Crowd Computing

... volunteer computing should use the local wireless network for necessary message passing (no one would voluntarily offer their data pack balance for the purpose which least bothers him, at least ...

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High Performance Computing Meets Grid and Cloud Computing In Hybrid Computing

High Performance Computing Meets Grid and Cloud Computing In Hybrid Computing

... major computing paradigms has its strengths and ...hybrid computing is to combine all three paradigms so that strengths are maintained or even enhanced, and weakness are ...a high-level summary of ...

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Virtualization benefits in High Performance Computing Applications

Virtualization benefits in High Performance Computing Applications

... virtualization, performance is the major question to answer as the performance of virtualized HPC applications is as good as they are in physical machines ...[10]. Performance isolation is one of the ...

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What is High Performance Computing?

What is High Performance Computing?

... An instrument cyberinfrastructure that delivers high-end IT resources storage, computation, visualization, and data/service hosting - almost all of which are UNIX-based under the covers;[r] ...

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High-performance Computing and Application of Zero-norm

High-performance Computing and Application of Zero-norm

... This paper can solve controlling problem of sparse degrees effectively by using zero norm measure the sparseness of sparseness matrix to solve the problem of sparse coding. Firstly this model just do one addition, ...

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High Performance Computing and Big Data

High Performance Computing and Big Data

... algorithm performance as just like in simulation problems, the grain size (the number of model parameters held in the unit – thread or process – of parallel computing) is a critical measure of ...

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