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Posts

Jan, 13

Towards ad-hoc GPU acceleration of parallel eigensystem computations

This paper explores the early implementation of highperformance routines for the solution of multiple large Hermitian eigenvector and eigenvalue systems on a Graphics Processing Unit (GPU). We report a performance increase of up to two orders of magnitude over the original EISPACK routines with a NVIDIA Tesla C2050 GPU, potentially allowing an order of magnitude […]
Jan, 13

GPU-based parallel solver via the Kantorovich theorem for the nonlinear Bernstein polynomial systems

This paper proposes a parallel solver for the nonlinear systems in Bernstein form based on subdivision and the Newton-Raphson method, where the Kantorovich theorem is employed to identify the existence of a unique root and guarantee the convergence of the Newton-Raphson iterations. Since the Kantorovich theorem accommodates a singular Jacobian at the root, the proposed […]
Jan, 13

Parallel Implementations of Hopfield Neural Networks On GPU

In recent years, the multi-cores and General-Purpose GPU (GPGPU) architectures have become general platforms for various of parallel applications, with lots of parallel algorithms being proposed for this interesting persperctive. In this report, we study and develop a particular kind of artificial neural network (ANN), in hopfield model, to solve some optimization problems, since it […]
Jan, 13

Efficient Parallel CKY Parsing on GPUs

Low-latency solutions for syntactic parsing are needed if parsing is to become an integral part of user-facing natural language applications. Unfortunately, most state-of-the-art constituency parsers employ large probabilistic context-free grammars for disambiguation, which renders them impractical for real-time use. Meanwhile, Graphics Processor Units (GPUs) have become widely available, offering the opportunity to alleviate this bottleneck […]
Jan, 13

GPU Implementation of a Multiobjective Search Algorithm

In this paper we observe the possibility to accelerate a search algorithm for multiobjective optimization problems with help of a graphics processing unit. Besides an implementation we present test results for it and the conclusions that can be drawn from these results.
Jan, 13

A Real-Time Capable Software-Defined Receiver Using GPU for Adaptive Anti-Jam GPS Sensors

Due to their weak received signal power, Global Positioning System (GPS) signals are vulnerable to radio frequency interference. Adaptive beam and null steering of the gain pattern of a GPS antenna array can significantly increase the resistance of GPS sensors to signal interference and jamming. Since adaptive array processing requires intensive computational power, beamsteering GPS […]
Jan, 13

Parallel mutual information estimation for inferring gene regulatory networks on GPUs

BACKGROUND: Mutual information is a measure of similarity between two variables. It has been widely used in various application domains including computational biology, machine learning, statistics, image processing, and financial computing. Previously used simple histogram based mutual information estimators lack the precision in quality compared to kernel based methods. The recently introduced B-spline function based […]
Jan, 13

Parallel unmixing of remotely sensed hyperspectral images on commodity graphics processing units

Hyperspectral imaging instruments are capable of collecting hundreds of images, corresponding to different wavelength channels, for the same area on the surface of the Earth. One of the main problems in the analysis of hyperspectral data cubes is the presence of mixed pixels, which arise when the spatial resolution of the sensor is not enough […]
Jan, 13

Scientific Computing with Python on GPUs

This short documentation was written by me for the High Performance Computing Seminar in the winter semester 2010/11 of Prof. G. Haase at the University Graz Austria. In order to learn Sphinx and to make it possible for others to get a quick start with Python in mathematics and scientific computing I started to write […]
Jan, 13

Implementation of Virtual Embryology using the Thrust library for CUDA

The model to be described is based on the findings of evolutionary developmental biology (evo devo) and is determined to emphasize the fundamental importance of the development process additionally to genetic material, forming virtual embryos and furthermore Artificial Neural Networks (ANN). It was originally developed by Ronald Thenius in 2008 and extended by Michael Bodi […]
Jan, 13

An FPGA-based processing pipeline for high definition stereo video

This paper presents a real-time processing platform for high definition stereo video. The system is capable to process stereo-video streams at resolutions up to 1920×1080 at 30 frames per second (1080p30). In the hybrid FPGA-GPU-CPU system, a high-density FPGA is used to perform not only the low-level image processing tasks such as color interpolation and […]
Jan, 13

Mesh deformations in X3D via CUDA with freeform deformation lattices

In this paper we present a GPU-accelerated implementation of the well-known freeform deformation algorithm to allow for deformable objects within fully interactive virtual environments. We furthermore outline how our real-time deformation approach can be integrated into the X3D standard for more accessibility of the proposed methods. The presented technique can be used to deform complex […]

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