high performance computing on graphics processing units: hgpu.org

This paper proposes a novel Vehicle to Vehicle (V2V) communication system for collision avoidance which merges four different wireless devices (GPS, Wi-Fi, ZigBee and 3G) with a low power embedded Single Board Computer (SBC) in order to increase processing speed while maintaining a low cost. The three major technical challenges with such combinations are the […]

This experiment explores the performance of GPUs in genetic algorithms using binary data. The experiment executes a genetic algorithm which works with binary sequences that are processed on the GPU. The hypothesis is that an optimal number of maximum threads (likely larger than small) is required to have an optiomal runtime. The results show that […]

General purpose GPU based systems are highly attractive as they give potentially massive performance at little cost. Realizing such potential is challenging due to the complexity of programming. This paper presents a compiler based approach to automatically generate optimized OpenCL code from data-parallel OpenMP programs for GPUs. Such an approach brings together the benefits of […]

Frequency domain analysis is one of the most common analysis techniques in signal and image processing. Fast Fourier Transform (FFT) is a well know tool used to perform such analysis by obtaining the frequency spectrum for time- or spatial-domain signals and vice versa. FFT-Shift is a subsequent operation used to handle the resulting arrays from […]

This paper presents an implementation of the FDTD-compatible Green’s function on a heterogeneous parallel processing system. The developed implementation simultaneously utilizes computational power of the central processing unit (CPU) and the graphics processing unit (GPU) to the computational tasks best suited to each architecture. Recently, closed-form expression for this discrete Green’s function (DGF) was derived, […]

The histogram is a fundamental statistical tool that has been extensively used in various domains. In data mining and machine learning applications, weighted histogram calculation often serves as a key component in the processing of their massive data sets. However, the atomic operation, which is introduced to resolve the collisions in GPU-based parallel histogramming with […]

Graphics models are getting increasingly bulkier with detailed geometry, textures, normal maps, etc. There is a lot of interest to model and navigate through detailed models of large monuments. Many monuments of interest have both rich detail and large spatial extent. Rendering them for navigation on a single workstation is practically impossible, even given the […]

Molecular dynamics (MD) simulations provide a molecular-resolution physical description of the folding and assembly processes, but the size and the timescales of simulations are limited because the underlying algorithm is computationally demanding. We recently introduced a parallel neighbor list algorithm that was specifically optimized for MD simulations on GPUs. In our present study, we analyze […]

Solving large linear systems of equations is a common problem in the fields of science and engineering. Direct methods for computing the solution of such systems can be very expensive due to high memory requirements and computational cost. This is a very good reason to use iterative methods which computes only an approximation of the […]

It is important to obtain the results of methods that are used in solving scientific and engineering problems rapidly for users and application developers. Parallel programming techniques have been developed alongside serial programming because the importance of performance has been increasing day by day while developing computer applications.Various methods such as Gauss Elimination (GE) Method, […]

Parallel computing can offer an enormous advantage regarding the performance for very large applications in almost any field: scientific computing, computer vision, databases, data mining, and economics. GPUs are high performance many-core processors that can obtain very high FLOP rates. Since the first idea of using GPU for general purpose computing, things have evolved and […]

Considerable recent attention has been given to the problem of porting existing code to heterogeneous computing architectures, such as GPUs. In this paper, we describe a novel, interactive refactoring tool that allows for quick and easy transformation of affine loops to execute on GPUs. Compared to previous approaches, our refactoring approach interactively combines the user’s […]