high performance computing on graphics processing units: hgpu.org

This paper describes a system for dense depth estimation from multiple color images in real-time. Our algorithm runs almost entirely on standard graphics hardware, leaving the main CPU free for other tasks such as image capture and higher level recognition. We follow a plane-sweep approach extended by truncated SSD scores, spatially shiftable windows and best […]

This paper describes a system for dense depth estimation for multiple images in real-time. The algorithm runs almost entirely on standard graphics hardware, leaving the main CPU free for other tasks as image capture, compression and storage during scene capture. We follow a plain-sweep approach extended by truncated SSD scores, shiftable windows and best camera […]

In the field of HPC, the current hardware trend is to design multiprocessor architectures that feature heterogeneous technologies such as specialized coprocessors (e.g. Cell/BE SPUs) or data-parallel accelerators (e.g. GPGPUs). Approaching the theoretical performance of these architectures is a complex issue. Indeed, substantial efforts have already been devoted to efficiently offload parts of the computations. […]

Recent advances in the parallelizability of fast N-body algorithms, and the programmability of graphics processing units (GPUs) have opened a new path for particle based simulations. For the simulation of turbulence, vortex methods can now be considered as an interesting alternative to finite difference and spectral methods. The present study focuses on the efficient implementation […]

Even though graphics processors (GPUs) are becoming increasingly popular for general purpose computing, current (and likely near future) generations of GPUs do not provide hardware support for detecting soft/hard errors in computation logic or memory storage cells since graphics applications are inherently fault tolerant. As a result, if an error occurs in GPUs during program […]

MOTIVATION: Mass spectrometry (MS) is one of the most important techniques for high-throughput analysis in proteomics research. Due to the large number of different proteins and their post-translationally modified variants, the amount of data generated by a single wetlab MS experiment can easily exceed several gigabytes. Hence, the time necessary to analyze and interpret the […]

Shadows are crucial for enhancing realism and provide important visual cues. In recent years, many important contributions have been made both for hard shadows and soft shadows. Often spurred by the tremendous increase of computational power and capabilities of graphics hardware, much progress has been made concerning visual quality and speed, making high-quality real-time shadows […]

In this paper, we present a novel parallel coordinates design integrated with points (Scattering Points in Parallel Coordinates, SPPC), by taking advantage of both parallel coordinates and scatterplots. Different from most multiple views visualization frameworks involving parallel coordinates where each visualization type occupies an individual window, we convert two selected neighboring coordinate axes into a […]

Raster image vectorization is increasingly important since vector-based graphical contents have been adopted in personal computers and on the Internet. In this paper, we introduce an effective vector-based representation and its associated vectorization algorithm for full-color raster images. There are two important characteristics of our representation. First, the image plane is decomposed into nonoverlapping parametric […]

In this paper, we present a method to speed up video encoding of GPU rendered scenes. Modern video codecs, like H.264/AVC, are based on motion compensation and support partitioning of macroblocks, e.g. 16×16, 16×8, 8×8, 8×4 etc. In general, encoders use expensive search methods to determine suitable motion vectors and compare the rate-distortion score for […]

This article explores the application of reconfigurable hardware to the acceleration of financial computation using tree-based pricing models. Two parallel pipelined architectures have been developed for option valuation using binomial trees and trinomial trees, with support for concurrent evaluation of independent options to achieve high pricing throughput. Our results show that the tree-based models executing […]

As an entry for the 2009 Gordon Bell price/performance prize, we present the results of two different hierarchical N-body simulations on a cluster of 256 graphics processing units (GPUs). Unlike many previous N-body simulations on GPUs that scale as O(N^2), the present method calculates the O(N log N) treecode and O(N) fast multipole method (FMM) […]