high performance computing on graphics processing units: hgpu.org

This paper presents an approach to create what we have called a Unified Sentiment Lexicon (USL). This approach aims at aligning, unifying, and expanding the set of sentiment lexicons which are available on the web in order to increase their robustness of coverage. One problem related to the task of the automatic unification of different […]

The work presented in this thesis takes place in a context of growing demand for image and video applications on parallel embedded systems. The limitations and lack of flexibility of current design with parallel embedded systems make increasingly complicated to implement applications, particularly on heterogeneous systems. But Open Computing Language (OpenCL) is a new framework […]

In this paper a parallel computing algorithm for discrete element systems is presented. The discrete model is consisted of finite elements and contacts among the elements. The algorithm is realized using C++ and CUDA and was optimized for NVIDIA GPUs. As a result, the performance of the GPU code is 43 times faster than the […]

In this paper, we extend 1D distribution interpolation to 2D and 3D by using the Radon transform. Our algorithm is fundamentally different from previous shape transformation techniques, since it considers the objects to be interpolated as density distributions rather than level sets of Implicit Functions (IF). First, we perform distribution interpolation on the precalculated Radon […]

In this Master Thesis it has been established the specifications for developing a face recognition system in a variety of platforms at the same time: MATLAB running in a personal computer, C code in an embedded microprocessor (MicroBlaze), a simpler reconfigurable hardware for an FPGA-based platform, a flexible hardware for higher performance, and finally a […]

This thesis is devoted to the development of efficient numerical solvers for fluctuating hydrodynamics, in particular, for flows with immersed particles. In the first part of the thesis we develop numerical solvers able to work in a broad number of flow regimes with a high computational performance. To derive thermodynamically consistent set of equations in […]

The inherent issues of properly deploying finite difference calculations onto GPUs are described and solutions are suggested. A speedup of 60x is achieved over the CPU version. Four visualization methods were implemented using OpenGL and compared in terms of the clarity of their visual result. A combination of hedgehogs and slices was deemed to give […]

In this work we propose an efficient finite volume approximation of two-fluid flows. Our scheme is based on three ingredients. We first construct a conservative scheme that removes the pressure oscillations phenomenon at the interface. The construction relies on a random sampling at the interface [6, 5]. Secondly, we replace the exact Riemann solver by […]

Today, GPUs represent an important hardware development platform for many problems in dynamical systems, where massive parallel computations are needed. Beside that, many numerical studies of chaotic dynamical systems require a computing precision higher than common floating point (FP) formats. One such application is locating invariant sets for chaotic dynamical systems. In particular, we focus […]

Multicore CPUs (Central Processing Units) and GPUs (Graphics Processing Units) are omnipresent in today’s market-leading smartphones and tablets. With CPUs and GPUs getting more complex, maximizing hardware utilization is becoming problematic. The challenges faced in GPGPU (General Purpose computing using GPU) computing on embedded platforms are different from their desktop counterparts due to their memory […]

This thesis presents the results of a study into the use of graphical processing units (GPUs) in the simulation and modelling of gravitational microlensing. Two simulation approaches were investigated: magnification maps and the use of a dynamic engine for directly simulating gravitational microlensing light curves. It was found that the GPUs are able to speed […]

2014-07-05 Accepted papers of ICICT 2014 will be published in the following jounals with ISSN: — Ei indexed Journal: Journal of Computers (JCP, ISSN: 1796-203X) Journal of Software (JSW, ISSN: 1796-217X) –Google Scholar: International Journal of Computer and Communication Engineering (IJCCE, ISSN: 2010-3743) International Journal of Computer Theory and Engineering (IJCTE, ISSN: 1793-8201) Lecture Notes […]