high performance computing on graphics processing units: hgpu.org

The development of a standardised testing methodology for side-channel resistance of cryptographic devices is an issue that has received recent focus from standardisation bodies such as NIST. Statistical techniques such as hypothesis and significance testing appear to be ideally suited for this purpose. In this work we evaluate the candidacy of three such tests: a […]

This article describes a methodology for fitting experimental data to the discrete power-law distribution and provides the results of a detailed simulation exercise used to calculate accurate cutoff values used to assess the fit to a power-law distribution when using the maximum likelihood estimation for the exponent of the distribution. Using massively parallel programming computing, […]

This dissertation summarizes experimental validation and co-design studies conducted to optimize the fault detection capabilities and overheads in hybrid computer systems (e.g., using CPUs and Graphics Processing Units, or GPUs), and consequently to improve the scalability of parallel computer systems using computational accelerators. The experimental validation studies were conducted to help us understand the failure […]

Finding efficient vehicle routes is an important logistics problem which has been studied for several decades. Metaheuristic algorithms offer some solutions for that problem. This paper deals with GPU implementation of the ant colony optimization algorithm (ACO), which can be used to find the best vehicle route between designated points. The algorithm is applied on […]

Graphical Processing Units(GPUs) are usually programmed to provide data-parallel acceleration to a host processor. Modern GPUs typically have an internal multi-processor (MP) structure that can be exploited in an unusual way to offer semi-independent task parallelism providing the MPs can operate within their own localised memory and apply data-parallelism to their own problem subset. We […]

In this research, we target at the investigation of a dynamic energy-aware management framework on the execution of independent workloads (e.g., bag-of-tasks) in hybrid CPU-GPU PARA-computing platforms, aiming at optimizing the execution of workloads in appropriate computing resources concurrently while balancing the use of solely virtual or physical resources or hybridly selected resources, to achieve […]

Metamaterials are periodic structures created by many identical scattering objects which are stationary and small compared to the wavelength of electromagnetic wave applied to it so that when combined with different elements, these materials have the potential to be coupled to the applied electromagnetic wave without modifying the structure. Due to their unusual properties that […]

Although graph cuts (GC) is popularly used in many computer vision problems, slow execution time due to its high complexity hinders wide usage. Manycore solution using Graphics Processing Unit (GPU) may solve this problem. However, conventional GC implementation does not fully exploit GPU’s computing power. To address this issue, a new GC algorithm which is […]

We propose a parallel method for computing local Laplacian curvature flows for triangular meshes. Laplace operator is widely used in mesh processing for mesh fairing, noise removal or curvature estimation. If the Laplacian flow is used in global sense constraining a whole mesh with an iterative weighted linear system, it can be used even for […]

Deployment of parallel architectures in computing systems is increasing. In this paper we study the performance effects of a variety of programming techniques and technologies that utilize these parallel architectures as applied to example algorithms. We demonstrate that algorithms, which are highly parallel in nature, gain significant performance increases through proper application of both parallel […]

Due to their massively parallel hardware design, graphic processors can easily beat ordinary CPUs in applications which involve large amount of data. Considering their great potential, the objective of this paper is to continue previous work and optimize the speed and efficiency of texture and fractal analysis, as used for medical images classification processes for […]

State-of-the-art General-Purpose computing on Graphics Processing Unit (GPGPU) is facing severe power challenge due to the increasing number of cores placed on a chip with decreasing feature size. In order to hide the long latency operations, GPGPU employs the fine-grained multi-threading among numerous active threads, leading to the sizeable register files with massive power consumption. […]