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GLeeFuzz: FuzzingWebGL Through Error Message Guided Mutation

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An automated calibration framework and open source tools for 3D lake hydrodynamic models

Alfred Johny Wüest, Damien Bouffard, Andrea Cimatoribus, Theo Baracchini

Understanding lake dynamics is crucial to provide scientifically credible information for ecosystem management. In this context, three-dimensional hydrodynamic models are a key information source to assess critical but often subtle changes in lake dynamics ...

2020

High Performance Computing for gravitational lens modeling: Single vs double precision on GPUs and CPUs

Jean-Paul Richard Kneib, Markus Rexroth, Christoph Ernst René Schäfer

Strong gravitational lensing is a powerful probe of cosmology and the dark matter distribution. Efficient lensing software is already a necessity to fully use its potential and the performance demands will only increase with the upcoming generation of tele ...

ELSEVIER2020

Tamaas: a library for elastic-plastic contact of periodic rough surfaces

Jean-François Molinari, Guillaume Anciaux, Son-Jonathan Pham-Ba, Lucas Henri Galilée Frérot, Valentine Ginette Madeleine Rey

Tamaas: a library for elastic-plastic contact of periodic rough surfaces", published in the Journal of Open Source Softwares describes the free and open-source library Tamaas. More than five years in the making, Tamaas is a high performance C++/Python libr ...

2020

Learning to Automate the Design Updates From Observed Engineering Changes in the Chip Development Cycle

Heinz Riener

The behavioral revisions to the design are frequent in the late stage of the semiconductor chip development. Quite often, their realization emphasizes incrementality that seeks minimum perturbation of the existing implementation. This tutorial paper poses ...

IEEE2020

Methods for strong gravitational lens detection and analysis using machine learning and high performance computing

Christoph Ernst René Schäfer

The study of strong gravitational lenses is a relatively new scientific field in astronomy with many applications in cosmology. Its unique observables allow astronomers to trace dark matter, determine the expansion of the universe and study galaxy evolutio ...

EPFL2020

On the Efficiency of OpenACC-aided GPU-Based FDTD Approach: Application to Lightning Electromagnetic Fields

Farhad Rachidi-Haeri, Mohammad Azadifar, Hamidreza Karami

An open accelerator (OpenACC)-aided graphics processing unit (GPU)-based finite difference time domain (FDTD) method is presented for the first time for the 3D evaluation of lightning radiated electromagnetic fields along a complex terrain with arbitrary t ...

MDPI2020

Nanometric axial resolution of fibronectin assembly units achieved with an efficient reconstruction approach for multi-angle-TIRF microscopy

Emmanuel Emilien Louis Soubies, Sébastien Schaub

High resolution imaging of molecules at the cell-substrate interface is required for understanding key biological processes. Here we propose a complete pipeline for multi-angle total internal reflection fluorescence microscopy (MA-TIRF) going from instrume ...

Nature Research2019

Hardware-conscious Hash-Joins on GPUs

Anastasia Ailamaki, Manolis Karpathiotakis, Raja Appuswamy, Periklis Chrysogelos, Panagiotis Sioulas

Traditionally, analytical database engines have used task parallelism provided by modern multisocket multicore CPUs for scaling query execution. Over the past few years, GPUs have started gaining traction as accelerators for processing analytical queries d ...

IEEE2019

GPU-Accelerated Finite Volume Particle Simulation of Free Jet Deviation by Multi-jet Rotating Pelton Runner

Siamak Alimirzazadeh

Numerical simulation of Pelton turbine hydrodynamics is helpful to identify the energy loss mechanisms in the runner and minimize their effect. However, it is a challenging task that involves handling the unsteady free surface flow and moving boundaries re ...

EPFL2019

Inquiry-Based Learning with RoboGen: An Open-Source Software and Hardware Platform for Robotics and Artificial Intelligence

Dario Floreano, Joshua Evan Auerbach, Przemyslaw Mariusz Kornatowski, Alice Ghislaine Concordel

It has often been found that students appreciate hands-on work, and find that they learn more with courses that include a project than those relying solely on conventional lectures and tests. This type of project driven learning is a key component of “Inqu ...

2019