Apr, 11

First ADBIS workshop on GPUs In Databases, GID 2011

The GPUs in Databases workshop is devoted to sharing the knowledge related to applying GPUs in Database environments and to discuss possible future development of this application domain.List of topics of the GID workshop includes (but is not limited to): 1. Data compression on GPUs * lossless/lossy compression and decompression * real time compression and […]
Apr, 10

GPU Accelerated Adams-Bashforth Multirate Discontinuous Galerkin FEM Simulation of High-Frequency Electromagnetic Fields

A multirate Adams-Bashforth (AB) scheme for simulation of electromagnetic wave propagation using the discontinuous Galerkin finite element method (DG-FEM) is presented. The algorithm is adapted such that single-instruction multiple-thread (SIMT) characteristic for the implementation on a graphics processing unit (GPU) is preserved. A domain decomposition strategy respecting the multirate classification for computation on multiple GPUs […]
Apr, 10

GPU acceleration of the dynamics routine in the HIRLAM weather forecast model

Programmable graphics processing units (GPUs) nowadays offer very high performance computing power at relatively low hardware cost and power consumption. In this paper, we present the implementation of the dynamics routine of the HIRLAM weather forecast model on the NVIDIA GeForce 9800 GX2 GPU card using the Compute Unified Device Architecture (CUDA) as parallel programming […]
Apr, 10

Power-Efficient Work Distribution Method for CPU-GPU Heterogeneous System

As the system scales up continuously, the problem of power consumption for high performance computing (HPC) system becomes more severe. Heterogeneous system integrating two or more kinds of processors, could be better adapted to heterogeneity in applications and provide much higher energy efficiency in theory. Many studies have shown heterogeneous system is preferable on energy […]
Apr, 10

Real-time stereo matching: A cross-based local approach

We propose an area-based local stereo matching algorithm that yields accurate disparity estimates, while achieving the real-time speed completely on the graphics processing unit (GPU). For a local stereo method, the key challenge is to decide an appropriate support window for the pixel under consideration. Our stereo method starts with computing an upright local cross […]
Apr, 10

Accelerating global sequence alignment using CUDA compatible multi-core GPU

The Graphical Processing Unit (GPU) has become a competitive general purpose computational hardware platform in the last few years. Recent improvements in GPUs highly parallel programming capabilities such as Compute Unified Device Architecture(CUDA) has lead to a variety of complex applications with tremendous performance improvements. Genetic Sequence alignment is considered to be one of the […]
Apr, 10

A Real-Time Soft Shadow Rendering Algorithm by Occluder-Discretization

This paper presents a real-time soft shadow rendering algorithm based on the shadow-mapping technique. The key idea of this algorithm is to use only a single shadow map for a flat extended light source. The algorithm also uses the single shadow map to discretize the occluders to many flat patches which are parallel with the […]
Apr, 10

A Parallel Algorithm for Dot Product over Word-Size Finite Field Using Floating-Point Arithmetic

Recently, parallel computation has become necessary to take full advantage of the gains allowed by Moore’s law. Many scientific and engineering applications exhibit data parallelism but might not make full use of it. Some ubiquitous operations such that the dot product can easily be parallelized and then make good use of available hardware, like multi-core […]
Apr, 10

Fast seismic modeling and Reverse Time Migration on a GPU cluster

We have designed a fast parallel simulator that solves the acoustic wave equation on a GPU cluster. Solving the acoustic wave equation in an oil exploration industrial context aims at speeding up seismic modeling and Reverse Time Migration. We consider a finite difference approach on a regular mesh, in both 2D and 3D cases. The […]
Apr, 10

FFT Implementation on a Streaming Architecture

Fast Fourier Transform (FFT) is a useful tool for applications requiring signal analysis and processing. However, its high computational cost requires efficient implementations, specially if real time applications are used, where response time is a decisive factor. Thus, the computational cost and wide application range that requires FFT transforms has motivated the research of efficient […]
Apr, 10

Real-time Minute Change Detection on GPU for Cellular and Remote Sensor Imaging

Discovering subtle alterations of pairs of images taken from the same scene at different time intervals is called minute change detection problem. To achieve this goal, we have developed a framework that captures and highlights minute changes in digital images that are otherwise hidden to the human eye. Moreover, unnoticeable differences from image pairs that […]
Apr, 9

Depth-of-Field Blur Effects for First-Person Navigation in Virtual Environments

Depth-of-field blur effects are well-known depth cues in human vision. Computer graphics pipelines added DOF effects early to enhance imagery realism, but real-time VR applications haven’t yet introduced visual blur effects. The authors describe new techniques to improve blur rendering and report experimental results from a prototype video game implementation.
Page 619 of 805« First...102030...617618619620621...630640650...Last »

* * *

* * *

Like us on Facebook

HGPU group

243 people like HGPU on Facebook

Follow us on Twitter

HGPU group

1474 peoples are following HGPU @twitter

* * *

Free GPU computing nodes at hgpu.org

Registered users can now run their OpenCL application at hgpu.org. We provide 1 minute of computer time per each run on two nodes with two AMD and one nVidia graphics processing units, correspondingly. There are no restrictions on the number of starts.

The platforms are

Node 1
  • GPU device 0: nVidia GeForce GTX 560 Ti 2GB, 822MHz
  • GPU device 1: AMD/ATI Radeon HD 6970 2GB, 880MHz
  • CPU: AMD Phenom II X6 @ 2.8GHz 1055T
  • RAM: 12GB
  • OS: OpenSUSE 13.1
  • SDK: nVidia CUDA Toolkit 6.5.14, AMD APP SDK 3.0
Node 2
  • GPU device 0: AMD/ATI Radeon HD 7970 3GB, 1000MHz
  • GPU device 1: AMD/ATI Radeon HD 5870 2GB, 850MHz
  • CPU: Intel Core i7-2600 @ 3.4GHz
  • RAM: 16GB
  • OS: OpenSUSE 12.3
  • SDK: AMD APP SDK 3.0

Completed OpenCL project should be uploaded via User dashboard (see instructions and example there), compilation and execution terminal output logs will be provided to the user.

The information send to hgpu.org will be treated according to our Privacy Policy

HGPU group © 2010-2015 hgpu.org

All rights belong to the respective authors

Contact us: