This paper reports on the development of an MPI/OpenCL implementation of LU, an application-level benchmark from the NAS Parallel Benchmark Suite. An account of the design decisions addressed during the development of this code is presented, demonstrating the importance of …
May 21, 2013 by hgpu
In this study, we widely investigate the problem of string matching in the context of Heterogeneous Parallel Computing. A overview of string matching is made, in which the different forms of string matching problem are distinguished, and the classifications of …
May 20, 2013 by hgpu
We present a method for estimating the point spread function (PSF) of solar surface images acquired from ground telescopes and degraded by atmosphere. The estimation is done by retrieving the wavefront phase using a set of short exposures, the speckle …
May 16, 2013 by hgpu
Here we present the cuLGT code for gauge fixing in lattice gauge field theories with graphic processing units (GPUs). Implementations for SU(3) Coulomb, Landau and maximally Abelian gauge fixing are available and the overrelaxation, stochastic relaxation and simulated annealing algorithms …
May 16, 2013 by hgpu
Computing highly-accurate approximate solutions to partial differential equations (PDEs) requires both a robust numerical method and a powerful machine. We present a parallel implementation of the discontinuous Galerkin (DG) method on graphics processing units (GPUs). In addition to being flexible …
May 11, 2013 by hgpu
Somoclu is a C++ tool for training self-organizing maps on large data sets using a high-performance cluster. It builds on MPI for distributing the workload across the nodes of the cluster. It is also able to boost training by using …
May 8, 2013 by hgpu
We demonstrate the acceleration obtained from using GPU/CPU hybrid clusters and supercomputers for N-body simulations of gravity based in part on the author’s new code development. Validation tests are shown for cosmological simulations and for galaxy simulations, along with their …
May 7, 2013 by hgpu
The QuantLib library is a popular library used for many areas of computational finance. In this work, the parallel processing power of the GPU is used to accelerate QuantLib financial applications. Black-Scholes, Monte-Carlo, Bonds, and Repo code paths in QuantLib …
May 6, 2013 by hgpu
Tiling is a key technique to enhance data reuse. For computations structured as one sequential outer "time" loop enclosing a set of parallel inner loops, tiling only the parallel inner loops may not enable enough data reuse in the cache. …
April 29, 2013 by hgpu
A project was undertaken to improve the performance of a traditional CPU-based sequential program by modifying it for parallel execution in a GPU environment. A speedup of at least 1.5x and the preservation of the program’s accuracy and integrity were …
April 25, 2013 by hgpu
The main result of my Ph.D dissertation was accULL, an implementation of the OpenACC standard. This implementation is based on two pieces of software I designed, YaCF (Yet Another Compiler Framework) and Frangollo. YaCF is basically a Python StS toolkit, …
April 25, 2013 by hgpu
Waves are all around us – be it in the form of sound, electromagnetic radiation, water waves, or earthquakes. Their study is an important basic tool across engineering and science disciplines. Every wave solver serving the computational study of waves …
April 23, 2013 by hgpu
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