12708
Keisuke Konno, Qiang Chen, Hajime Katsuda
Various guidelines for acceleration of MoM by GPU computing are summarized. Acceleration of direct/iterative solver for MoM by using GPU is realized. Quantitative study of computing time shows the performance of each guideline.
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Robest Kessl, Nilothpal Talukder, Pranay Anchuri, Mohammed J. Zaki
Frequent graph mining is an important though computationally hard problem because it requires enumerating possibly an exponential number of candidate subgraph patterns, and checking their presence in a database of graphs. In this paper, we propose a novel approach for parallel graph mining on GPUs, which have emerged as a relatively cheap but powerful architecture […]
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Matthew R. Smith, Yen-Chih Chen
The Kinetic Theory of Gases has long been established as a useful tool for the solution of modern Computational Fluid Dynamics (CFD) problems. Together with the Finite Volume Method, such approaches have been popular in CFD for over 30 years, with techniques such as the Equilibrium Flux Method (EFM) or Kinetic Flux Vector Splitting (KFVS), […]
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Albert Saa-Garriga, David Castells-Rufas, Jordi Carrabina
High-performance computing are based more and more in heterogeneous architectures and GPGPUs have become one of the main integrated blocks in these, as the recently emerged Mali GPU in embedded systems or the NVIDIA GPUs in HPC servers. In both GPGPUs, programming could become a hurdle that can limit their adoption, since the programmer has […]
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Valentina Popescu
Many numerical problems require higher precision than the conventional floating-point (single, double) formats. One solution is to use multiple precision libraries such as GNU MPFR, which allow the manipulation of very high precision numbers. But their generality (they are able to handle numbers with millions of digits), is a quite heavy alternative when medium precision […]
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Ezequiel E. Ferrero, Alejandro B. Kolton, Matteo Palassini
We develop a parallel rejection algorithm to tackle the problem of low acceptance in Monte Carlo methods, and apply it to the simulation of the hopping conduction in Coulomb glasses using Graphics Processing Units, for which we also parallelize the update of local energies. In two dimensions, our parallel code achieves speedups of up to […]
Koushik Mandal
General Purpose Computation on Graphics Processing Units (GP-GPU) has been recognized as viable and inexpensive technique in recent trends of parallel computing. Earlier this technology has only been used as commodity processing units in video cards which have been used for generating graphics in High resolution. This technology provides greater computational power with its high […]
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Ang Li, Akash Kumar
Volume image registration is a basic component of medical image processing which traditionally requires long computation time. In this paper, we propose five Correlation Ratio based schemes that explore the design space for Graphics Processing Unit (GPU) acceleration. Through comparisons among these five schemes, we present the trade-off between benefits and overheads of introducing shadow […]
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Alessandro Dal Pal'u, Agostino Dovier, Andrea Formisano, Enrico Pontelli
The parallel computing power offered by Graphical Processing Units (GPUs) has been recently exploited to support general purpose applications-by exploiting the availability of general API and the SIMT-style parallelism present in several classes of problems (e.g., numerical simulations, matrix manipulations) – where relatively simple computations need to be applied to all items in large sets […]
Christos G Xanthis, Ioannis E Venetis, Anthony H Aletras
BACKGROUND: MRI physics simulators have been developed in the past for optimizing imaging protocols and for training purposes. However, these simulators have only addressed motion within a limited scope. The purpose of this study was the incorporation of realistic motion, such as cardiac motion, respiratory motion and flow, within MRI simulations in a high performance […]
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Lan Li, Jundong Tan, Zhuo Su, Yunliang Lon
In this paper, a General Purpose Unit (GPU) accelerated full-wave method of moment (MoM) is combined with a two-path adaptive frequency sampling (AFS) approach to analyze the wideband characteristic of the body-wire structures. An equivalent principle is employed to treat the wire as surface so that the model which is analyzed based on the electric-field […]
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Yousuf Sait I, Vijayalakshmi R
With the dawn of virtualization and Infrastructureas-a-Service (IaaS), the comprehensive technical computing community is in view of the use of clouds for their technical computing needs. This is due to the relative scalability, ease of use, advanced user milieu customization abilities clouds provide, as well as many novel computing archetypes available for data-intensive applications. However, […]
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