high performance computing on graphics processing units: hgpu.org

Compressed sensing (CS) theory specifies a new signal acquisition approach, potentially allowing the acquisition of signals at a much lower data rate than the Nyquist sampling rate. In CS, the signal is not directly acquired but reconstructed from a few measurements. One of the key problems in CS is how to recover the original signal […]

With the growing interest in multicore processors and Graphics Processing Units (GPUs), heterogeneous computing is an emerging necessity to fully utilize computing resources. In the traditional approach to parallel programming, programmers are required to manage the sequential part of a program while rewriting the parallel part to a more efficient parallel programming model. Our evaluation […]

The main problem of the following paper is control and supervision of web connected mobile robots. Taking up this subject is justified by the need of developing new methods for control, supervision and integration of exis-ting modules (inspection robots, autonomous robots, mo-bile base station). The methodology consists of: multi ro-botic system structure, cognitive model of […]

We illustrate how linear algebra calculations can be enhanced by statistical techniques in the case of a square linear system Ax = b. We study a random transformation of A that enables us to avoid pivoting and then to reduce the amount of communication. Numerical experiments show that this randomization can be performed at a […]

GPUs have become increasingly popular in recent years, in large part due to their potential to offer a large amount of computational power at low prices. GPU designers have also made GPU pipelines more general purpose and more programmable, which has made GPUs more attractive to a wider audience. Thus, it is increasingly important to […]

Autonomous vehicles and robots that navigate based on camera input need techniques for obstacle avoidance for successful navigation. Optical Flow based obstacle avoidance is one of the most popular techniques. Real-time motion estimation remains a challenge because of its high computational expense. The traditional CPU-based schemes satisfy the power, size and computation requirements. Graphical Processing […]

In huge databases Image processing takes more time for execution on a single core processor because of slow single thread algorithms. Graphics Processing Unit (GPU) is more popular now-a-days due to their speed, programmability, low cost and more inbuilt execution cores in it. Most of the researchers started work to use GPUs as a processing […]

Fast and accurate algorithms are necessary for Content based image retrieval (CBIR) systems to perform operations on compressed images databases such as jpeg or through compressive sensing. Feature extraction and feature matching are two important steps in any CBIR system. Wrong matching may affect the accuracy rate of CBIR systems. The matching of query image […]

Real-time image/video processing applications are now in demand with the advance of general purpose computers and mobile devices. However, programmers have to handle the digital images, and be aware of the resolutions and pixels. This makes image processing programming unintuitive. On the other hand, image/video processing typically has data parallelisms, and the performance gains are […]

The Explicit Multi-Threading (XMT) is a general-purpose many-core computing platform, with the vision of a 1000-core chip that is easy to program but does not compromise on performance. This paper presents a publicly available tool chain for XMT, complete with a highly configurable cycle-accurate simulator and an optimizing compiler. The XMT tool chain has matured […]

The need to rank and order data is pervasive, and many algorithms are fundamentally dependent upon sorting and partitioning operations. Prior to this work, GPU stream processors have been perceived as challenging targets for problems with dynamic and global data-dependences such as sorting. This paper presents: (1) a family of very efficient parallel algorithms for […]

Ray-tracing is a computational demanding image generation technique capable of create photo-realistic images. Due to its high demand of computational power, ray-tracing is not used for realtime applications, however, with the massive parallel capabilities of current Graphics Processing Units, and the fact that ray tracing is a suitable application for parallel processing, the use of […]