high performance computing on graphics processing units: hgpu.org

We present a new numerical scheme to solve the transfer of diffuse radiation on three-dimensional mesh grids which is efficient on processors with highly parallel architecture such as recently popular GPUs and CPUs with multi- and many-core architectures. The scheme is based on the ray-tracing method and the computational cost is proportional to N^5/3_m where […]

Este artigo aborda a questão da construção de algoritmos paralelos e avaliação dos resultados a partir da redução de complexidade obtida pelo emprego massivo do paralelismo, em contraponto a obtenção de speedups como delineadores da construção de algoritmos paralelos. Mostra-se que, em um problema simples de pesquisa em um vetor, é mais proveitosa.

Submission Deadline: 2015-02-10 Publications: Accepted papers will be published in the one of the following Journal with ISSN. *International Journal of Computer Theory and Engineering (IJCTE) (ISSN: 1793-8201) Abstracting/Indexing: Index Copernicus, Electronic Journals Library, EBSCO, Engineering & Technology Digital Library, Google Scholar, Ulrich’s Periodicals Directory, Crossref, ProQuest, WorldCat, and EI (INSPEC, IET), Cabell’s Directories. *International […]

One of the major problems in database management systems is handling large amounts of data while providing short response time. Problem is not only proper manner of storing records but also efficient way of processing them. In the meantime GPUs developed computational power many times greater than that offered by comparable CPUs. In our research […]

In this paper, we propose a real-time multi-view depth generation method using compute unified device architecture (CUDA) multi-graphics processing units (GPU). The objective is to generate multi-view depth maps in real-time. We employ eight color cameras and three depth cameras. After capturing multi-view color and depth data, we warp the depth information to color camera […]

Lattice based cryptography is attractive for its quantum computing resistance and efficient encryption/ decryption process. However, the Big Data issue has perplexed most lattice based cryptographic systems since the overall processing is slowed down too much. This paper intends to analyze one of the major lattice-based cryptographic systems, Nth-degree truncated polynomial ring (NTRU), and accelerate […]

The problem of load balancing is one of the crucial features in distributed data warehouse systems. In this article original load balancing algorithms are presented. The Adaptive Load Balancing Algorithms for Queries (ALBQ) and the algorithms that use grammars and learning machines in managing the ETL process. These two algorithms base the load balancing on […]

As the size of high performance applications increases, four major challenges including heterogeneity, programmability, fault resilience, and energy efficiency have arisen in the underlying distributed systems. To tackle with all of them without sacrificing performance, traditional approaches in resource utilization, task scheduling and programming paradigm should be reconsidered. While Hadoop has handled data-intensive applications well […]

The purpose of this paper is to describe a novel method called Deep Dynamic Neural Networks(DDNN) for the Track 3 of the Chalearn Looking at People 2014 challenge [1]. A generalised semi-supervised hierarchical dynamic framework is proposed for simultaneous gesture segmentation and recognition taking both skeleton and depth images as input modules. First, Deep Belief […]

Radar producers, which are mostly in defense industry, need radar environment simulator to test their products during the development. Such a simulator helps them to be able to get rid of costly field tests. For developing a radar environment simulator, radio wave propagation should be modeled. However, this is a computationally expensive and time consuming […]

Voronoi diagrams are fundamental data structures in computational geometry with applications on different areas. Recent soft object simulation algorithms for real time physics engines require the computation of Voronoi diagrams over 3D images with non-Euclidean distances. In this case, the computation must be performed over a graph, where the edges encode the required distance information. […]

This paper presents an overview of the "Applied Parallel Computing" course taught to final year Software Engineering undergraduate students in Spring 2014 at NUST, Pakistan. The main objective of the course was to introduce practical parallel programming tools and techniques for shared and distributed memory concurrent systems. A unique aspect of the course was that […]