Publications related to TurboSMARTS: Accurate microarchitecture simulation sampling in minutes

Detection over diffusion networks: Asymptotic tools for performance prediction and simulation

Exploiting recent progress [1]-[4] in the characterization of the detection performance of diffusion strategies over adaptive multi-agent networks: i) we present two theoretical approximations, one based on asymptotic normality and the other based on the t ...

IEEE2016

Detecting and Quantifying Changing Selection Intensities from Time-Sampled Polymorphism Data

Jeffrey David Jensen, Matthieu Foll, Sebastian Matuszewski, Stefan Jean Laurent, Hyunjin Shim

During his well-known debate with Fisher regarding the phenotypic dataset of Panaxia dominula, Wright suggested fluctuating selection as a potential explanation for the observed change in allele frequencies. This model has since been invoked in a number of ...

Genetics Society of America2016

A Methodology for Global Sensitivity Analysis for Time-Dependent Code Output Applied to Reflood Simulation in TRACE

Andreas Pautz, Damar Canggih Wicaksono, Omar Zerkak

Understanding properly the impact of model parameters and their interactions on the predictions is required for an appropriate model assessment. For simulation of reflooding following a LOCA, this requirement is justified because the important parameters a ...

2015

Random sampling of bandlimited signals on graphs

Pierre Vandergheynst, Rémi Gribonval, Gilles Puy, Nicolas Tremblay

We study the problem of sampling

k

-bandlimited signals on graphs. We propose two sampling strategies that consist in selecting a small subset of nodes at random. The first strategy is non-adaptive, \ie, independent of the graph structure, and its perform ...

2015

Sampling-Based Nuclear Data Uncertainty Quantification for Continuous Energy Monte Carlo Codes

Ting Zhu

The goal of the present PhD research is to establish a methodology of nuclear data uncertainty quantification (NDUQ) for MCNPX, the continuous-energy Monte-Carlo (M-C) code. The high fidelity (continuous-energy treatment and flexible geometry modelling) of ...

EPFL2015

Oscillatory deformation of amorphous materials

Davide Fiocco

In this thesis we describe the results of simulations at the atomic level of a simple model of a metallic glass under cyclic shear deformation. We show that under oscillatory cyclic load, systems of Lennard-Jones particles exhibit a non-equilibrium transit ...

EPFL2014

On Selection of Samples in Algebraic Attacks and a New Technique to Find Hidden Low Degree Equations

Serge Vaudenay, Pouyan Sepehrdad, Petr Susil

The best way of selecting samples in algebraic attacks against block ciphers is not well explored and understood. We introduce a simple strategy for selecting the plaintexts and demonstrate its strength by breaking reduced-round KATAN32 and LBlock. In both ...

Springer-Verlag Berlin2014

Prospects of warm dense matter research at HiRadMat facility at CERN using 440 MeV SPS proton beam

Juan Blanco Sancho, Rudiger Schmidt

In this paper we present numerical simulations of heating of a solid copper cylinder by the 440 GeV proton beam delivered by the Super Proton Synchrotron (SPS) at CERN. The beam is made of 288 proton bunches while each bunch comprises of 1.15.10(11) so tha ...

Elsevier Science Bv2013

Adaptive conformational sampling based on replicas

Jérémy Curuksu

Computer simulations of biomolecules such as molecular dynamics simulations are limited by the time scale of conformational rearrangements. Several sampling techniques are available to search the multi-minima free energy landscape but most efficient, time- ...

Springer-Verlag2012

Sampling and Reconstructing Diffusion Fields with Localized Sources

Martin Vetterli, Yue Lu, Juri Ranieri, Amina Chebira

We study the spatiotemporal sampling of a diffusion field generated by K point sources, aiming to fully reconstruct the unknown initial field distribution from the sample measurements. The sampling operator in our problem can be described by a matrix deriv ...

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Detection over diffusion networks: Asymptotic tools for performance prediction and simulation

Detecting and Quantifying Changing Selection Intensities from Time-Sampled Polymorphism Data

A Methodology for Global Sensitivity Analysis for Time-Dependent Code Output Applied to Reflood Simulation in TRACE

Random sampling of bandlimited signals on graphs

Sampling-Based Nuclear Data Uncertainty Quantification for Continuous Energy Monte Carlo Codes

Oscillatory deformation of amorphous materials

On Selection of Samples in Algebraic Attacks and a New Technique to Find Hidden Low Degree Equations

Prospects of warm dense matter research at HiRadMat facility at CERN using 440 MeV SPS proton beam

Adaptive conformational sampling based on replicas

Sampling and Reconstructing Diffusion Fields with Localized Sources

Detection over diffusion networks: Asymptotic tools for performance prediction and simulation

A Methodology for Global Sensitivity Analysis for Time-Dependent Code Output Applied to Reflood Simulation in TRACE

Detecting and Quantifying Changing Selection Intensities from Time-Sampled Polymorphism Data

Random sampling of bandlimited signals on graphs

Sampling-Based Nuclear Data Uncertainty Quantification for Continuous Energy Monte Carlo Codes

Prospects of warm dense matter research at HiRadMat facility at CERN using 440 MeV SPS proton beam

Adaptive conformational sampling based on replicas

Oscillatory deformation of amorphous materials

Sampling and Reconstructing Diffusion Fields with Localized Sources

On Selection of Samples in Algebraic Attacks and a New Technique to Find Hidden Low Degree Equations