high performance computing on graphics processing units: hgpu.org

The exceptional growth of graphics hardware in programmability and data processing speed in the past few years has fuelled extensive research in using it for general purpose computations more than just image-processing and gaming applications. We explore the use of graphics processors (GPU) to speedup the computations involved in Fuzzy c-means (FCM). FCM is an […]

This article presents the results of a research in applying modern Graphics Processing Units in the field of telecommunications. The most recent Wireless Local Area Network protocol, 802.11n, was studied, as it introduces a significant increase of computational complexity. Taking into consideration the concept of Software Defined Radio, the implementation of PHY algorithms was devised […]

In this paper, we apply Particle-based Volume Rendering (PBVR) technique using a current programmable GPU architecture. Recently, the increasing programmability of GPU offers an efficient method of SIMD parallel algorithm to solve the speed problem. Due to the each point or pixel can be calculated independently, we use programmable graphics hardware to delegate all expensive […]

The progress of GPU (Graphics Processing Unit) technology opens a new avenue for boosting computing power. This work is an attempt to exploit GPU for accelerating VLSI circuit optimization. We propose GPU-based parallel computing techniques and apply them on simultaneous gate sizing and threshold voltage assignment, which is often employed in practice for performance and […]

In this paper, we introduce a novel point-based volume rendering technique based on tiny particles. In the proposed technique, a set of tiny opaque particles is generated from a given 3D scalar field based on a user-specified transfer function and the rejection method. The final image is then generated by projecting these particles onto the […]

Real time rendering of animated crowds has many practical multimedia applications. The Graphics Processor Unit (GPU) is being increasingly employed to accelerate associated rendering and deformation calculations. This paper explores skeletal deformation calculations on the GPU for crowds of articulated figures. It compares a few strategies for efficient reuse of such calculations on clones. We […]

In this paper NTRUEncrypt is implemented for the first time on a GPU using the CUDA platform. As is shown, this operation lends itself perfectly for parallelization and performs extremely well compared to similar security levels for ECC and RSA giving speedups of around three to five orders of magnitude. The focus is on achieving […]

The graphics processor (GPU) has evolved into an appealing choice for high performance computing due to its superior memory bandwidth, raw processing power, and flexible programmability. As such, GPUs represent an excellent platform for accelerating scientific applications. This paper explores a methodology for identifying applications which present significant potential for acceleration. In particular, this work […]

Iterative reconstruction algorithms augmented with regularization can produce high-quality reconstructions from few views and even in the presence of significant noise. In this paper we focus on the particularities associated with the GPU acceleration of these. First, we introduce the idea of using exhaustive benchmark tests to determine the optimal settings of various parameters in […]

To address the problem of performing long time simulations of biochemical pathways under in vivo cellular conditions, we have developed a lattice-based, reaction-diffusion model that uses the graphics processing unit (GPU) as a computational co-processor. The method has been specifically designed from the beginning to take advantage of the GPU’s capacity to perform massively parallel […]

A GPU cluster is a cluster equipped with GPU devices. Excellent acceleration is achievable for computation-intensive tasks (e. g. matrix multiplication and LINPACK) and bandwidth-intensive tasks with data locality (e. g. finite-difference simulation). Bandwidth-intensive tasks such as large-scale FFTs without data locality are harder to accelerate, as the bottleneck often lies with the PCI between […]

This paper presents an analysis of the performance of the shader processing units in a modern graphics processor unit (GPU) architecture using real graphic applications. The architecture of a modern GPU is described and a simulator and associated framework used to evaluate the architecture is introduced. The paper analyses the effects in performance of different […]