high performance computing on graphics processing units: hgpu.org

The Physical Optics approximation is a widely used asymptotic method for calculating the scattering from electrically large bodies. It requires significant computational work and little memory, and is thus well suited for application on a Graphics Processing Unit. Here, we investigate the performance of an implementation and demonstrate that while there are some implementational pitfalls, […]

Spatiotemporal databases are utilized in many applications to store the trajectories of moving objects. In this context, we focus on in-memory distance threshold queries that return all trajectories found within a distance d of a fixed or moving object over a time interval. We present performance results for a sequential query processing algorithm that uses […]

A recent development, called isogeometric analysis, provides a unified approach for design, analysis and optimization of functional products in industry. Common volume rendering methods for inspecting the results from the numerical simulations can not be applied directly to isogeometric models. We present a novel approach for interactive visualization of isogeometric analysis results, ensuring correct, i.e., […]

The Internet ecosystem comprising of thousands of Autonomous Systems (ASes) now include Internet eXchange Points (IXPs) as another critical component in the infrastructure. Peering plays a significant part in driving the economic growth of ASes and is contributing to a variety of structural changes in the Internet. IXPs are a primary component of this peering […]

Submission Deadline: 2014-10-20 Publication: All accepted papers will be published in one of the indexed Journals after being selected. Journal of Computers (JCP, ISSN: 1796-203X, 20 Papers) Journal of Software (JSW, ISSN: 1796-217X, 20 Papers) International Journal of Future Computer and Communication (IJFCC, ISSN: 2010-3751, 30 Papers) International Journal of Computer and Communication Engineering (IJCCE, […]

In this report, we have taken the first steps in investigating the feasibility of using the GPU as a cryptographic accelerator for the AES algorithm on mobile devices. In particular, our focus was on exploring the use of OpenCL as a framework for implementing the algorithm. Using modifications of an existing implementation [11], we first […]

High performance architectures are increasingly heterogeneous with shared and distributed memory components, and accelerators like GPUs. Programming such architectures is complicated and performance portability is a major issue as the architectures evolve. This thesis explores the potential for algorithmic skeletons integrating a dynamically parametrised static cost model, to deliver portable performance for mostly regular data […]

The maximal sensitivity of the Smith-Waterman (SW) algorithm has enabled its wide use in biological sequence database search. Unfortunately, the high sensitivity comes at the expense of quadratic time complexity, which makes the algorithm computationally demanding for big databases. In this paper, we present SWAPHI, the first parallelized algorithm employing Xeon Phi coprocessors to accelerate […]

Handwriting recognition is having high demand in commercial & academics. In recent years lots of good work has been done on hand written digit recognition to improve accuracy. Handwritten digit recognition system needs larger dataset and long training time to improve accuracy & reduce error rate. Training of Neural Networks for large data sets is […]

Due to their origin in computer graphics, graphics processing units (GPUs) are highly optimized for dense problems, where the exact same operation is applied repeatedly to all data points. Natural language processing algorithms, on the other hand, are traditionally constructed in ways that exploit structural sparsity. Recently, Canny et al. (2013) presented an approach to […]

CBIR is the method of searching the digital images from an image database. "Content-based" means that the search analyzes the contents of the image rather than the metadata such as colours, shapes, textures, or any other information that can be derived from the image itself. The GPU is a powerful graphics engine and a highly […]

In this paper, we consider power-aware task scheduling (PATS) in HPC clouds. Users request virtual machines (VMs) to execute their tasks. Each task is executed on one single VM, and requires a fixed number of cores (i.e., processors), computing power (million instructions per second – MIPS) of each core, a fixed start time and non-preemption […]