Fast implicit solvers for phase-field fracture problems on heterogeneous microstructures
Sign Up to like & getrecommendations! Published in 2020 at "Computer Methods in Applied Mechanics and Engineering"
DOI: 10.1016/j.cma.2019.112793
Abstract: Abstract We study fast and memory-efficient FFT-based implicit solution methods for small-strain phase-field crack problems for microstructured brittle materials. A fully implicit first order formulation of the problem coupling elasticity and damage permits using comparatively… read more here.
Keywords: implicit solvers; solvers phase; field; fast implicit ... See more keywords
RCDPeaks: memory-efficient density peaks clustering of long molecular dynamics
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac021
Abstract: MOTIVATION Density Peaks is a widely spread clustering algorithm that has been previously applied to Molecular Dynamics simulations. Its conception of cluster centers as elements displaying both a high density of neighbors and a large… read more here.
Keywords: density peaks; density; molecular dynamics; rcdpeaks memory ... See more keywords
A fast and memory efficient MLCS algorithm by character merging for DNA sequences alignment
Sign Up to like & getrecommendations! Published in 2020 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btz725
Abstract: MOTIVATION Multiple Longest Common Subsequence (MLCS) problem is searching all longest common subsequences of multiple character sequences. It appears in many fields such as data mining, DNA alignment, bioinformatics, text editing and so on. With… read more here.
Keywords: character merging; dna sequences; character; fast memory ... See more keywords
SwiftOrtho: A fast, memory-efficient, multiple genome orthology classifier
Sign Up to like & getrecommendations! Published in 2019 at "GigaScience"
DOI: 10.1093/gigascience/giz118
Abstract: Abstract Background Gene homology type classification is required for many types of genome analyses, including comparative genomics, phylogenetics, and protein function annotation. Consequently, a large variety of tools have been developed to perform homology classification… read more here.
Keywords: efficient multiple; swiftortho fast; fast memory; orthology ... See more keywords
Memory Efficient Local Features Descriptor for Identity Document Detection on Mobile and Embedded Devices
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2022.3233463
Abstract: In this paper, we propose a data-driven approach to training a memory-efficient local feature descriptor for identity documents location and classification on mobile and embedded devices. The proposed algorithm for retrieving a dataset of patches… read more here.
Keywords: efficient local; identity; mobile embedded; memory efficient ... See more keywords
StateOS: A Memory-Efficient Hybrid Operating System for IoT Devices
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2023.3234106
Abstract: The increasing significance of operating systems (OSs) in the development of the Internet of Things (IoT) has emerged in the last decade. An event-driven OS is memory efficient and suitable for resource-constrained IoT devices and… read more here.
Keywords: iot devices; efficient hybrid; memory; memory efficient ... See more keywords
Memory-Efficient 3-D LWD Solver With the Flipped Total Field/Scattered Field-Based DGFD Method
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2019.2950659
Abstract: This letter presents a fast and memory-efficient 3-D electromagnetic solver for logging-while-drilling (LWD) tools based on the flipped total field/scattered field-based discontinuous Galerkin frequency-domain (TF/SF DGFD) method. The new method inherits the Riemann transmission condition… read more here.
Keywords: field; solver; total field; dgfd method ... See more keywords
Memory-Efficient Model-Based Deep Learning With Convergence and Robustness Guarantees
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2023.3252268
Abstract: Computational imaging has been revolutionized by compressed sensing algorithms, which offer guaranteed uniqueness, convergence, and stability properties. Model-based deep learning methods that combine imaging physics with learned regularization priors have emerged as more powerful alternatives… read more here.
Keywords: convergence; deep learning; based deep; memory efficient ... See more keywords
A Memory Efficient FPGA Implementation of Offset-Free Explicit Model Predictive Controller
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Control Systems Technology"
DOI: 10.1109/tcst.2022.3168493
Abstract: In the explicit model predictive control (EMPC), memory increases exponentially with the number of states, inputs, constraints, and prediction horizons; this often limits its applicability to large systems. In this article, we present a novel… read more here.
Keywords: offset free; memory; explicit model; memory efficient ... See more keywords
Memory-Efficient Implementation of Elliptic Curve Cryptography for the Internet-of-Things
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2018.2825449
Abstract: In this paper, we present memory-efficient and scalable implementations of NIST standardized elliptic curves P-256, P-384 and P-521 on three ARMv6-M processors (i.e. Cortex-M0, M0+, and M1). Specifically, we propose a refined approach to perform… read more here.
Keywords: memory efficient; internet things; efficient implementation; implementation elliptic ... See more keywords
A Memory Efficient Encoding for Ray Tracing Large Unstructured Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2021.3114869
Abstract: In theory, efficient and high-quality rendering of unstructured data should greatly benefit from modern GPUs, but in practice, GPUs are often limited by the large amount of memory that large meshes require for element representation… read more here.
Keywords: unstructured data; efficient encoding; memory; encoding ray ... See more keywords