Category: Physical Science
Adaptive Subdivision Surface Reconstruction for Scattered Data in Reverse Engineering Based on GPU
In order to improve the efficiency of the algorithm, we implemented the reconstruction algorithm on GPU in parallel way and tested the program on several large scale data sets.
High-performance computing tools for the integrated assessment and modelling of social-ecological systems
Integrated spatio-temporal assessment and modelling of complex social–ecological systems is required to address global environmental challenges.
Smoldyn on Graphics Processing Units: Massively Parallel Brownian Dynamics Simulations
In this paper, we analyze Smoldyn, a widely diffused algorithm for stochastic simulation of chemical reactions with spatial resolution and single molecule detail, and we propose an alternative, innovative implementation that exploits the parallelism of GPU
Accelerating finite difference wavefield-continuation depth migration by GPU
We introduce a new hardware architecture, based on which the finite difference wavefield-continuation depth migration can be conducted using the GPU as a CPU coprocessor.
A Parallel Front Propagation Method: Simulating geological folds on parallel architectures
In this thesis, a novel three-dimensional anisotropic front propagation algorithm for simulation of geological folds on parallel architecture is presented. The algorithm’s abundant parallelism is demonstrated on multi-core CPUs and GPU architectures.
CUDA-MPI-FDTD implementation of Maxwell’s equations in general dispersive media
We present the first MPI-CUDA implementation of Finite-Difference Time-Domain (FDTD) discretization of Maxwell’s equations in dispersive media that uses the MPI API to assign each CPU node its share of the computational domain and GPUs to their corresponding CPU threads
hybrid MANTIS: a CPU-GPU Monte Carlo method for modeling indirect x-ray detectors with columnar scintillators
The computational modeling of medical imaging systems often requires obtaining a large number of simulated images with low statistical uncertainty which translates into prohibitive computing times. We describe a novel hybrid approach for Monte Carlo simulations that maximizes utilization of CPUs and GPUs in modern workstations. We apply the method to the modeling of indirect…
Opening the gate to robust quantum computing
Scientists have overcome a major hurdle facing quantum computing: how to protect quantum information from degradation by the environment while simultaneously performing computation in a solid-state quantum system.
Parallel computing in experimental mechanics and optical measurement.
The main principles of parallel computing at an application level are introduced; the hardware platforms that support parallel computing are compared; the applications of parallel computing in experimental mechanics and optical measurement.
Computation of electron quantum transport in graphene nanoribbons using GPU
The present study showed that electron quantum transport simulations might be eff ectively done using the GPU architecture that outperforms the CPU even for a low-cost build-in hardware solution
