high performance computing on graphics processing units: hgpu.org

We consider deployment of the particle filter on modern massively parallel hardware architectures, such as Graphics Processing Units (GPUs), with a focus on the resampling stage. While standard multinomial and stratified resamplers require a sum of importance weights computed collectively between threads, a Metropolis resampler favourably requires only pair-wise ratios between weights, computed independently by […]

Metropolitan centers can be affected by an urban heat island effect. Radiative heat build-up from pavement and buildings increases temperatures in the metropolitan area above the average temperatures normally found in the surrounding environment. One way to help reduce the heat island effect is to add parks, trees, or green roofs to these urban spaces. […]

Graphic processing Units (GPUs) are gaining ground in high-performance computing. CUDA (an extension to C) is most widely used parallel programming framework for general purpose GPU computations. However, the task of writing optimized CUDA program is complex even for experts. We present a method for restructuring loops into an optimized CUDA kernels based on a […]

A novel method is proposed for fast computing discrete orthogonal moments of large scale digital images using CUDA (Compute Unified Device Architecture) on GPU (Graphic Processing Unit). After original input image loading and mapping by partition model, parallelism was implemented by dividing onto GPU. Experimental results show that the proposed method outperforms the existing software […]

Computing has rapidly established itself as essential and important to many branches of science, to the point where computational science is a commonly used term. Indeed, the application and importance of computing is set to grow dramatically across almost all the sciences. Computing has started to change how science is done, enabling new scientific advances […]

Mining of time series pattern is an important research area, of which getting LCSS(Longest Common Subsequence) between high-dimensional time series is one of the most important issues. Large scale data needs to be handled in practical applications, so the research of efficient retrieval method is becoming a realistic work. Based on the issues above, we […]

This study is concerned with the simulation of viscous flow past three equal diameter circular cylinders in equilateral-triangular arrangement. The hydrodynamic characteristics of cylinders are modelled by a 2Dlattice Boltzmann kernel which is constructed employing Compute Unified Device Architecture (CUDA) interface developed by nVIDIA. Computations using the developed kernel are performed for nine spacing ratios […]

With the development of hardware and software, GPU has been used in General-Purpose computation field. The high density of computing resource on chip bring in high performance as well as high power consumption. So the power consumption of GPU has increasingly become one of the most important issue for the development of general computing with […]

An improved implementation of the Preconditioned Conjugate Gradient method on GPU using CUDA (Compute Unified Device Architecture) is proposed. It aims to solving the Poisson equation arising in liquid animation with high efficiency. We consider the features of the linear system obtained from the Poisson equation and propose an optimization method to solve it. First, […]

Power dissipation and energy consumption are becoming increasingly important architectural design constraints in different types of computers, from embedded systems to largescale supercomputers. To continue the scaling of performance, it is essential that we build parallel processor chips that make the best use of exponentially increasing numbers of transistors within the power and energy budgets. […]

Graphics and signal processing applications often require that sines and cosines be evaluated at a same floating-point argument, and in such cases a very fast computation of the pair of values is desirable. This paper studies how 32-bit VLIW integer architectures can be exploited in order to perform this task accurately for IEEE single precision. […]

This paper presents a cooperative heterogeneous computing framework which enables the efficient utilization of available computing resources of host CPU cores for CUDA kernels, which are designed to run only on GPU. The proposed system exploits at runtime the coarse-grain threadlevel parallelism across CPU and GPU, without any source recompilation. To this end, three features […]