Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Aksenov, Vitalii"'
Autor:
Aksenov, Vitalii, Eigel, Martin
The possibility of using the Eulerian discretization for the problem of modelling high-dimensional distributions and sampling, is studied. The problem is posed as a minimization problem over the space of probability measures with respect to the Wasse
Externí odkaz:
http://arxiv.org/abs/2411.12430
The problem of acquiring elastic properties of a composite material from the data of the vibrational testing is considered. The specimen is considered to abide by the linear elasticity laws and subject to viscoelastic damping. The BVP for transverse
Externí odkaz:
http://arxiv.org/abs/2203.15857
Autor:
Ramezani-Kebrya, Ali, Faghri, Fartash, Markov, Ilya, Aksenov, Vitalii, Alistarh, Dan, Roy, Daniel M.
As the size and complexity of models and datasets grow, so does the need for communication-efficient variants of stochastic gradient descent that can be deployed to perform parallel model training. One popular communication-compression method for dat
Externí odkaz:
http://arxiv.org/abs/2104.13818
The coupled simulations of dynamic interactions between the well, hydraulic fractures and reservoir have significant importance in some areas of petroleum reservoir engineering. Several approaches to the problem of coupling between the numerical mode
Externí odkaz:
http://arxiv.org/abs/2005.01620
This work aims to describe a mathematical model and a numerical method to simulate a thin anisotropic composite membrane moving and deforming in 3D space under a dynamic load of an arbitrary time and space profile. The model and the method allow to c
Externí odkaz:
http://arxiv.org/abs/2001.00940
Autor:
Aksenov, Vitalii
Pour utiliser la puissance de calcul des ordinateurs modernes, nous devons écrire des programmes concurrents. L’écriture de programme concurrent efficace est notoirement difficile, principalement en raison de la nécessité de gérer les coûts d
Externí odkaz:
http://www.theses.fr/2018USPCC025/document
Autor:
Ramezani-Kebrya, Ali, Faghri, Fartash, Markov, Ilya, Aksenov, Vitalii, Alistarh, Dan, Roy, Daniel M.
As the size and complexity of models and datasets grow, so does the need for communication-efficient variants of stochastic gradient descent that can be deployed to perform parallel model training. One popular communication-compression method for dat
Externí odkaz:
http://arxiv.org/abs/1908.06077
Publikováno v:
In Computers and Geotechnics January 2021 129
Publikováno v:
Journal of Inverse & Ill-Posed Problems; Jun2024, Vol. 32 Issue 3, p467-484, 18p
Autor:
Aksenov, Vitalii
Publikováno v:
Distributed, Parallel, and Cluster Computing [cs.DC]. ITMO University; Paris Diderot University, 2018. English. ⟨NNT : ⟩
Distributed, Parallel, and Cluster Computing [cs.DC]. ITMO University; Paris Diderot University, 2018. English
Distributed, Parallel, and Cluster Computing [cs.DC]. ITMO University; Paris Diderot University, 2018. English
To use the computational power of modern computing machines, we have to deal with concurrent programs. Writing efficient concurrent programs is notoriously difficult, primarily due to the need of harnessing synchronization costs. In this thesis, we f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::00f6c221db7f03577b6bbf2f3eb5924d
https://inria.hal.science/tel-01887505
https://inria.hal.science/tel-01887505