high performance computing on graphics processing units: hgpu.org

Universal Background Modeling (UBM) is an alternative hypothesized modeling that is used extensively in Speaker Verification (SV) systems. Training the background models from large speech data requires a significant amount of memory and computational load. In this paper a parallel implementation of speaker verification system based on Gaussian Mixture Modeling – Universal Background Modeling (GMM […]

The use of manycore architectures and accelerators, such as GPUs, with good programmability has allowed them to be deployed for vital computational work. The ability to use randomness in computation is known to help in several situations. For such computations to be made possible on a general purpose computer, a source of randomness, or in […]

Convolution is one of the most important operators used in image processing. With the constant need to increase the performance in high-end applications and the rise and popularity of parallel architectures, such as GPUs and the ones implemented in FPGAs, comes the necessity to compare these architectures in order to determine which of them performs […]

This paper presents a novel and efficient GPU-based parallel algorithm to cull non-colliding object pairs in very large-scale dynamic simulations. It allows to cull objects in less than 25ms with more than 100K objects. It is designed for many-core GPU and fully exploits multi-threaded capabilities and data-parallelism. In order to take advantage of the high […]

An automatic OpenCL compute kernel generator framework for linear algebra operations is presented. It allows for specifying matrix and vector operations in high-level C++ code, while the low-level details of OpenCL compute kernel generation and handling are dealt with in the background. Our approach releases users from considerable additional effort required for learning the details […]

In this paper, we examine the challenges of implementing priority-based task management with respect to userdefined preferential attributes on a graphics processing unit (GPU). Previous approaches usually rely on constant synchronization with the CPU to determine the proper chronological sequence for execution. We transfer the responsibility for evaluating and arranging planned tasks to the GPU […]

Data Mining algorithms such as classification and clustering are the future of computation, though multidimensional data-processing is required. People are using multicore processors with GPU’s. Most of the programming languages doesn’t provide multiprocessing facilities and hence wastage of processing resources. Clustering and classification algorithms are more resource consuming. In this paper we have shown strategies […]

We present a multi-purpose genetic algorithm, designed and implemented with GPGPU / CUDA parallel computing technology. The model was derived from a multi-core CPU serial implementation, named GAME, already scientifically successfully tested and validated on astrophysical massive data classification problems, through a web application resource (DAMEWARE), specialized in data mining based on Machine Learning paradigms. […]

With rapidly improving computational power numerical models are being developed for ever more complex problems that cannot be solved analytically, making them more and more computationally intensive. Parallel computing has emerged as an important paradigm to speed up the processing of such models. In recent years graphics processing units (GPU) are among the massively parallel […]

Parallel Computational Fluid Dynamics (ParCFD) Conference 2012 is the 24th of series of annual international meetings since 1989 dedicated to the discussion of most recent developments and applications of parallel computing in the field of CFD and related disciplines. ParCFD conferences are truly multi-cultural and international attracting many researchers across the globe with diverse technical […]

General-Purpose computing on GPUs (GPGPU) provides the opportunity to utilize the tremendous computational power of graphics accelerators for a wider set of problems. These devices leverage massive parallelism to achieve high performance, however, creating highly parallelized code which is optimized for the characteristics of GPUs is no simple task. The polyhedron model is used successfully […]

We consider the long-time behaviour of a free-molecular gas in a time-dependent vessel with absorbing boundary, in any space dimension. We first show, at the theoretical level, that the convergence towards equilibrium heavily depends on the initial data and on the time evolution law of the vessel. Subsequently, we describe a numerical strategy to simulate […]