AMITIS: A 3D GPU-based hybrid-PIC model for space and plasma physics
We have developed, for the first time, an advanced modeling infrastructure in space
simulations (AMITIS) with an embedded three-dimensional self-consistent grid-based hybrid …
simulations (AMITIS) with an embedded three-dimensional self-consistent grid-based hybrid …
GEMSim: A GPU-accelerated multi-modal mobility simulator for large-scale scenarios
A Saprykin, N Chokani, RS Abhari - Simulation Modelling Practice and …, 2019 - Elsevier
In order to accelerate large-scale agent-based mobility scenarios, and to provide advanced
traffic simulation and forecasting tools for planners and decision makers, a GPU-accelerated …
traffic simulation and forecasting tools for planners and decision makers, a GPU-accelerated …
Multi-GPU approach to global induction of classification trees for large-scale data mining
This paper concerns the evolutionary induction of decision trees (DT) for large-scale data.
Such a global approach is one of the alternatives to the top-down inducers. It searches for …
Such a global approach is one of the alternatives to the top-down inducers. It searches for …
Visual saliency models for summarization of diagnostic hysteroscopy videos in healthcare systems
In clinical practice, diagnostic hysteroscopy (DH) videos are recorded in full which are stored
in long-term video libraries for later inspection of previous diagnosis, research and training …
in long-term video libraries for later inspection of previous diagnosis, research and training …
Improving GPU-accelerated adaptive IDW interpolation algorithm using fast kNN search
G Mei, N Xu, L Xu - SpringerPlus, 2016 - Springer
This paper presents an efficient parallel Adaptive Inverse Distance Weighting (AIDW)
interpolation algorithm on modern Graphics Processing Unit (GPU). The presented …
interpolation algorithm on modern Graphics Processing Unit (GPU). The presented …
Using GPGPU accelerated interpolation algorithms for marine bathymetry processing with on-premises and cloud based computational resources
Data crowdsourcing is one of most remarkable results of pervasive and internet connected
low-power devices making diverse and different “things” as a world wide distributed system …
low-power devices making diverse and different “things” as a world wide distributed system …
GPU-based acceleration of evolutionary induction of model trees
Evolutionary algorithms (EAs) are naturally prone to parallel processing. However, when
they are applied to data mining, the fitness calculations start to dominate and the typical …
they are applied to data mining, the fitness calculations start to dominate and the typical …
Design and implementation of multiple-precision BLAS Level 1 functions for graphics processing units
K Isupov, V Knyazkov, A Kuvaev - Journal of Parallel and Distributed …, 2020 - Elsevier
Abstract Basic Linear Algebra Subprograms (BLAS) are the building blocks for various
numerical algorithms and are widely used in scientific computations. However, some linear …
numerical algorithms and are widely used in scientific computations. However, some linear …
Workflow-based automatic processing for internet of floating things crowdsourced data
Data from sensors incorporated into mobile devices, such as networked navigational
sensors, can be used to capture detailed environmental information. We describe here a …
sensors, can be used to capture detailed environmental information. We describe here a …
Accelerating adaptive inverse distance weighting interpolation algorithm on a graphics processing unit
G Mei, L Xu, N Xu - Royal Society open science, 2017 - royalsocietypublishing.org
This paper focuses on designing and implementing parallel adaptive inverse distance
weighting (AIDW) interpolation algorithms by using the graphics processing unit (GPU). The …
weighting (AIDW) interpolation algorithms by using the graphics processing unit (GPU). The …