An increasing number of methods for background subtraction use Robust PCA to identify sparse foreground objects. While many algorithms use the L1-norm as a convex relaxation of the ideal sparsifying function, we approach the problem with a smoothed Lp-norm and …
February 15, 2013 by hgpu
Recent trends in hardware development have led to graphics processing units (GPUs) evolving into highly-parallel, multi-core computing platforms suitable for computational science applications. Recently, GPUs such as the NVIDIA Tesla 20-series (with up to 448 cores) have become available to …
February 15, 2013 by hgpu
In recent years, refined building models have been widely used for urban regional seismic damage prediction, but its application is limited due to the computing workload and the cost when it is implemented on traditional CPU platform. However, GPU computing …
February 15, 2013 by hgpu
This paper discusses issues related to parallel computing in Economics. It highlights new methodologies and resources that are available for solving and estimating economic models and emphasizes situations when they are useful and others where they are impractical. Two examples …
February 15, 2013 by hgpu
This paper investigates the development of a molecular dynamics code that is highly portable between architectures. Using OpenCL, we develop an implementation of Sandia’s miniMD benchmark that achieves good levels of performance across a wide range of hardware: CPUs, discrete …
February 14, 2013 by hgpu
We analyse gather-scatter performance bottlenecks in molecular dynamics codes and the challenges that they pose for obtaining benefits from SIMD execution. This analysis informs a number of novel code-level and algorithmic improvements to Sandia’s miniMD benchmark, which we demonstrate using …
February 14, 2013 by hgpu
Hybrid computing technique is used in this study to significantly enhance the performance of meshfree methods. These methods are typically slower than finite element methods (FEM) mostly because their stiffness matrices are much denser ones formed by FEM. As a …
February 14, 2013 by hgpu
Current graphics processing units (GPUs) utilize the single instruction multiple thread (SIMT) execution model. With SIMT, a group of logical threads executes such that all threads in the group execute a single common instruction on a particular cycle. To enable …
February 14, 2013 by hgpu
Newmark family of algorithms have been utilized by many engineering applications for the solution of nonlinear dynamic analysis of various structural models. Dynamic and nonlinear nature of such problems and numerical stability requirements of the algorithms increase the need for …
February 14, 2013 by hgpu
Image processing algorithms present a necessary tool for various domains related to computer vision, such as video surveillance, medical imaging, pattern recognition, etc. However, these algorithms are hampered by their high consumption of both computing power and memory, which increase …
February 14, 2013 by hgpu
This paper proposes an algorithm for correcting Partial Volume Effect in Positron Emission Tomography (PET) images, using registered Computed Tomography (CT) data to enhance the blurred PET image. The algorithm is based on a forward-and-backward anisotropic heat equation solver, deblurring …
February 14, 2013 by hgpu
We present an improved finite-size scaling method for reliably extracting the critical temperature T_BKT of a Berezinskii-Kosterlitz-Thouless (BKT) transition. Using the known Weber-Minhagen multiplicative logarithmic correction to the spin stiffness rho_s at T_BKT and the Kosterlitz-Nelson relation between the transition …
February 14, 2013 by hgpu
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