Concept
Hypercomputation
Related publications (42)
Parametric Reduced Order Model of a Gas Bearings Supported Rotor
Fabio Nobile, Jürg Alexander Schiffmann, Dimitri Maurice Goutaudier
Gas bearings use pressurized gas as a lubricant to support and guide rotating machinery. These bearings have a number of advantages over traditional lubricated bearings, including higher efficiency in a variety of applications and reduced maintenance requi ...
2024Low-Rank Tensor Approximations for Solving Multimarginal Optimal Transport Problems\ast
By the addition of entropic regularization, multimarginal optimal transport problems can be trans-formed into tensor scaling problems, which can be solved numerically using the multimarginal Sinkhorn algorithm. The main computational bottleneck of this alg ...
SIAM PUBLICATIONS2023A mixed precision LOBPCG algorithm
Daniel Kressner, Meiyue Shao, Yuxin Ma
The locally optimal block preconditioned conjugate gradient (LOBPCG) algorithm is a popular approach for computing a few smallest eigenvalues and the corresponding eigenvectors of a large Hermitian positive definite matrix A. In this work, we propose a mix ...
SPRINGER2023Accelerated deep self-supervised ptycho-laminography for three-dimensional nanoscale imaging of integrated circuits
Yi Jiang, Manuel Guizar Sicairos
Three-dimensional inspection of nanostructures such as integrated circuits is important for security and reliability assurance. Two scanning operations are required: ptychographic to recover the complex transmissivity of the specimen, and rotation of the s ...
2023Parametric Reduced Order Model of a Gas Bearings Supported Rotor
Fabio Nobile, Jürg Alexander Schiffmann, Dimitri Maurice Goutaudier
Gas bearings use pressurized gas as a lubricant to support and guide rotating machinery. These bearings have a number of advantages over traditional lubricated bearings, including higher efficiency in a variety of applications and reduced maintenance requi ...
2023Over-the-Air Computation via Reconfigurable Intelligent Surface
Over-the-air computation (AirComp) is a disruptive technique for fast wireless data aggregation in Internet of Things (IoT) networks via exploiting the waveform superposition property of multiple-access channels. However, the performance of AirComp is bott ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021AKSEL: Fast Byzantine SGD
Rachid Guerraoui, El Mahdi El Mhamdi, Alexandre David Olivier Maurer, Sébastien Louis Alexandre Rouault
Modern machine learning architectures distinguish servers and workers. Typically, a d-dimensional model is hosted by a server and trained by n workers, using a distributed stochastic gradient descent (SGD) optimization scheme. At each SGD step, the goal is ...
Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik2021Minimum energy adaptive structures – All-In-One problem formulation
This paper presents a new All-In-One (AIO) implementation of an existing formulation to design adaptive structures through Total Energy Optimization (TEO). The method implemented in previous work is a nested optimization process, here named TEO-Nested. Num ...
2020FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction
Rachid Guerraoui, Anne-Marie Kermarrec, Rhicheek Patra, Georgios Damaskinos, Vlad-Tiberiu Nitu
Federated Learning (FL) is very appealing for its privacy benefits: essentially, a global model is trained with updates computed on mobile devices while keeping the data of users local. Standard FL infrastructures are however designed to have no energy or ...
Association for Computing Machinery2020Uncertainty propagation based on correlated sampling technique for nuclear data applications
Andreas Pautz, Vincent Pierre Lamirand, Dimitri Rochman, Axel Guy Marie Laureau
A correlated sampling technique has been implemented to estimate the impact of cross section modifications on the neutron transport and in Monte Carlo simulations in one single calculation. This implementation has been coupled to a Total Monte Carlo approa ...
2020