A highly optimized Monte Carlo (MC) code package for simulating light transport is developed on the latest graphics processing unit (GPU) built for general-purpose computing from NVIDIA - the Fermi GPU. In biomedical optics, the MC method is the gold standard approach for simulating light transport in biological tissue, both due to its accuracy and its flexibility in modelling realistic, hetero...

The benefit of using the Discrete Element Method (DEM) for simulations of fracture in heterogeneous media has been widely highlighted. However modeling large structure leads to prohibitive computations times. We propose to take advantage of Graphics Processor Units (GPUs) to reduce the computation time, taking advantage of the highly data parallel nature of DEM computations. GPUs are massively ...

This paper presents two efficient implementations of fast and pipelined bit-parallel polynomial basis multipliers over GF (2m) by irreducible pentanomials and trinomials. The architecture of the first multiplier is based on a parallel and independent computation of powers of the polynomial variable. In the second structure only even powers of the polynomial variable are used. The par...

The long computation times required for fluid dynamics simulations (CFD) has lead the industry to look for some alternatives to boost high performance computing (HPC). This paper is focused on the acceleration of fluid dynamics simulations for industrial complex configurations using modern graphics cards (GPUs) that exhibits a substantial parallel architecture. First, some general facts about g...

For systems including multi sensors, it is necessary to apply complex signal processing algorithms in real time with an acceptable performance to achieve the system goals. Depending on the nature of the algorithms to be implemented (suitable for parallel or sequential processing), implementation of the algorithms on the appropriate hardware, for instance graphical processing units (GPU) or cent...

In this paper, we introduce a GPU-based framework for simulating particle trajectories under both static and dynamic force fields. By exploiting the highly parallel nature of the problem and making efficient use of the available hardware, our simulator exhibits a significant speedup over its CPUbased analog. We apply our framework to a specific experimental simulation: the computation of trappi...

The computation of the basis inverse is the most time-consuming step in simplex type algorithms. This inverse does not have to be computed from scratch at any iteration, but updating schemes can be applied to accelerate this calculation. In this paper, we perform a computational comparison in which the basis inverse is computed with five different updating schemes. Then, we propose a parallel i...

In this paper, we introduce a graphic processing unit (GPU)-based framework for simulating particle trajectories under both static and dynamic force fields. By exploiting the highly parallel nature of the problem and making efficient use of the available hardware, our simulator exhibits a significant speedup over its CPU-based analog. We apply our framework to a specific experimental simulation...

The radiosity equation has been usedwidely in computer graphics and thermal engineering applications. The equation is simple to formulate but is challenging to solve when the number of Lambertian surfaces associatedwith an application becomes large. In this paper, we present the algorithms to compute the view factors and solve the set of radiosity equations using an out-of-core Cholesky decompo...

Graphics Processing Units (GPU) are becoming a widespread tool for general-purpose scientific computing, and are attracting interest for future on board satellite image processing payloads due to their ability to perform massively parallel computations. This paper describes the GPU implementation of an algorithm for on board loss hyper spectral image compression and proposes an architecture tha...