Tag: Monte Carlo
It is apparent that NVIDIA’s new Tesla K20Xm GPU gives a huge performance improvement for real-world applications – up to 1.9x in this example (very close to the theoretical peak: 2x).
Authors present BINDSURF, a novel VS methodology that scans the whole protein surface in order to find new hotspots, where ligands might potentially interact with, and which is implemented in last generation massively parallel GPU hardware, allowing fast processing of large ligand databases.
In this study, the application of the two-dimensional direct simulation Monte Carlo (DSMC) method using an MPI-CUDA parallelization paradigm on Graphics Processing Units (GPUs) clusters is presented
In this paper, we have successfully implemented the DPM Monte Carlo dose calculation package on GPU architecture under the NVIDIA CUDA platform. We have also tested the efficiency and accuracy of our GPU implementation with respect to the original sequential DPM code on the CPU in various testing cases
More accurate than mean-field methods and more scalable than quantum chemical methods, continuum quantum Monte Carlo (QMC) is an invaluable tool for predicting the properties of matter from fundamental principles
X-ray scattering is a valuable tool for measuring the structural properties of materials used in the design and fabrication of energy-relevant nanodevices that are key to the reduction of carbon emissions.
We have developed a high-throughput graphics processing unit code that can characterize a large database of crystalline porous materials
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…