Sign Up to like & get recommendations! 0
Published in 2017 at "International Journal for Numerical Methods in Fluids"
DOI: 10.1002/fld.4278
Abstract: Summary Kalman filter is a sequential estimation scheme that combines predicted and observed data to reduce the uncertainty of the next prediction. Because of its sequential nature, the algorithm cannot be efficiently implemented on modern… read more here.
Sign Up to like & get recommendations! 1
Published in 2022 at "Journal of Computational Chemistry"
DOI: 10.1002/jcc.27026
Abstract: We report major algorithmic improvements of the UNRES package for physics‐based coarse‐grained simulations of proteins. These include (i) introduction of interaction lists to optimize computations, (ii) transforming the inertia matrix to a pentadiagonal form to… read more here.
Sign Up to like & get recommendations! 0
Published in 2017 at "Medical Physics"
DOI: 10.1002/mp.12642
Abstract: Purpose: To present the implementation of a new option for parallel processing of the EGSnrc Monte Carlo system using the OpenMP API, as an alternative to the provided method based on the use of a… read more here.
Sign Up to like & get recommendations! 0
Published in 2017 at "Neural Processing Letters"
DOI: 10.1007/s11063-017-9642-2
Abstract: For computing weights of deep neural networks (DNNs), the backpropagation (BP) method has been widely used as a de-facto standard algorithm. Since the BP method is based on a stochastic gradient descent method using derivatives… read more here.
Sign Up to like & get recommendations! 0
Published in 2019 at "Computational and Applied Mathematics"
DOI: 10.1007/s40314-019-0788-6
Abstract: The objective of this work is to parallelize, using the Application Programming Interface (API) OpenMP (Open Multi-Processing) and Intel Xeon Phi coprocessor based on Intel Many Integrated Core (MIC) architecture, the numerical method used to… read more here.
Sign Up to like & get recommendations! 0
Published in 2019 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.8b01286
Abstract: This paper presents the parsctst code, an efficient parallel implementation of the semiclassical transition state theory (SCTST) for reaction rate constant calculations. Parsctst is developed starting from a previously presented approach for the computation of… read more here.
Sign Up to like & get recommendations! 1
Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2938011
Abstract: This paper presents the massively parallel implementation of the FETI-2LM techniques (Finite Element Tearing and Interconnecting with two Lagrange Multipliers) in the FACTOPO code to solve large-scale sparse receiving array evolutions of the GRAVES bistatic… read more here.
Sign Up to like & get recommendations! 0
Published in 2019 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2018.2879983
Abstract: Coded aperture snapshot spectral imager (CASSI) provides a potential solution to recover the 3D hyperspectral image (HSI) from a single 2D measurement. The latest proposed design of the dual-camera compressive hyperspectral imager (DCCHI) can collect… read more here.
Sign Up to like & get recommendations! 0
Published in 2018 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2017.2777399
Abstract: We consider the problem of nonnegative tensor factorization. Our aim is to derive an efficient algorithm that is also suitable for parallel implementation. We adopt the alternating optimization framework and solve each matrix nonnegative least-squares… read more here.
Sign Up to like & get recommendations! 0
Published in 2017 at "Computer Optics"
DOI: 10.18287/2412-6179-2017-41-4-585-587
Abstract: This paper proposes a parallel implementation of th e image informative segments extraction method. The images are segmented in the spatial spectrum do main. The median energy in each selected segment is viewed upon as… read more here.
Sign Up to like & get recommendations! 0
Published in 2017 at "Filomat"
DOI: 10.2298/fil1703799b
Abstract: In this paper, we study two-stage stochastic linear programming (SLP) problems with fixed recourse. The problem is often large scale as the objective function involves an expectation over a discrete set of scenarios. This paper… read more here.