Asynchronous Approach to Memory Management in Sparse Multifrontal Methods on Multiprocessors

Journals Menu

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Applied Mathematics

ISSN Print: 2152-7385
ISSN Online: 2152-7393
www.scirp.org/journal/am
E-mail: am@scirp.org

Google-based Impact Factor: 0.58
Citations h5-index & Ranking*

Journals Menu

"Asynchronous Approach to Memory Management in Sparse Multifrontal Methods on Multiprocessors"
written by Alexander Kalinkin, Konstantin Arturov,
published by Applied Mathematics, Vol.4 No.12A, 2013

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	Network Performance Analysis through Boolean Network Tomography and Parallelization of Fundamental Operations in Numerical Linear Algebra
	2020

[2]	Hybrid Solver for Quasi Block Diagonal Linear Systems
	2019

[3]	Hybrid Solver for Quasi Block Diagonal Linear Systems.
	2019

[4]	Parallel Algorithms for Time Dependent Density Functional Theory in Real-space and Real-time
	2018

[5]	Stratégie de parallélisation hybride MPI/OPENMP pour EF, un programme d'analyse par éléments spectraux spécialisé pour la mécanique des fluides
	2018

[6]	Parallel sparse direct solvers for Poisson's equation in streamer discharges
	2017

[7]	PFEAST: a high performance sparse eigenvalue solver using distributed-memory linear solvers
	2016

[8]	Прямые мультипликативные методы для разреженных матриц. Несимметричные линейные системы
	2016

[9]	Direct multiplicative methods for sparse matrices. Unbalanced linear systems.
	2016

[10]	Parameter-dependent Parallel Block Sparse Arnoldi and Döhler Algorithms on Distributed Systems
	2016

[11]	Schur Complement Computations in Intel? Math Kernel Library PARDISO
	Applied Mathematics, 2015

[12]	Двухуровневый параллельный алгоритм выполнения численной фазы разложения Холецкого для разреженных матриц
	Вестник УГАТУ, 2015

[13]	Intel® Math Kernel Library Parallel Direct Sparse Solver for Clusters
	2014

[14]	High-performance Computing in Thermochronological Modeling
	2014

[15]	Intel? Math Kernel Library Parallel Direct Sparse Solver for Clusters
	EAGE Workshop on High Performance Computing for Upstream, 2014

[1]	Parallel Processing and Applied Mathematics Lecture Notes in Computer Science, 2020 DOI:10.1007/978-3-030-43229-4_12

[2]	PFEAST: A High Performance Sparse Eigenvalue Solver Using Distributed-Memory Linear Solvers SC16: International Conference for High Performance Computing, Networking, Storage and Analysis, 2016 DOI:10.1109/SC.2016.15

[3]	Schur Complement Computations in Intel® Math Kernel Library PARDISO Applied Mathematics, 2015 DOI:10.4236/am.2015.62028

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Applied Mathematics

Applied Mathematics

Journals Menu

Home

About SCIRP

Service

Policies