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Publications associées (31)

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Distributed Optimization with Arbitrary Local Solvers

Martin Jaggi

With the growth of data and necessity for distributed optimization methods, solvers that work well on a single machine must be re-designed to leverage distributed computation. Recent work in this area has been limited by focusing heavily on developing high ...

Taylor & Francis Ltd2017

SCCER-FURIES - A decision support tool for the geo-localised design and assessment of the integration of multi-carrier/multi-services/multi-grids innovative energy conversion systems in urban systems and industrial clusters - Deliverable 1.5.4

François Maréchal, Luc Girardin, Paul Michael Stadler

The computing platform (OSMOSELua) has been developed in the Industrial Process and Energy Systems Engineering group IPESE at EPFL as a flexible and robust tool for the design of complex integrated energy systems. The decision tool has been developed using ...

2017

Hardware And Software For Reproducible Research In Audio Array Signal Processing

Paul Hurley, Matthieu Martin Jean-André Simeoni, Robin Scheibler, Hanjie Pan, Eric Bezzam, Sepand Kashani, René Beuchat

In our demo, we present two hardware platforms for prototyping audio array signal processing. Pyramic is a 48-channel microphone array fitted on an FPGA and Compact Six is a portable microphone array with six microphones, closer to the technical constraint ...

Ieee2017

Unification of Compile-Time and Runtime Metaprogramming in Scala

Eugene Burmako

Metaprogramming is a technique that consists in writing programs that treat other programs as data. This paradigm of software development contributes to a multitude of approaches that improve programmer productivity, including code generation, program anal ...

EPFL2017

A chip-based silicon nitride platform for mid-infrared nonlinear photonics

Tobias Kippenberg, Camille Sophie Brès, Martin Hubert Peter Pfeiffer, Hairun Guo, Davide Grassani, Michail Zervas, Adrien Billat

We developed a chip-based silicon nitride platform with thick waveguides (> 2 mm) that overcomes the usual fabrication limitation. We demonstrate both microresonator frequency comb generation at 2:5 mm and supercontinuum generation extending beyond 4:0 mm ...

OSA Publishing2017

A chip-based silicon nitride platform for mid-infrared nonlinear photonics

Tobias Kippenberg, Camille Sophie Brès, Martin Hubert Peter Pfeiffer, Hairun Guo, Davide Grassani, Michail Zervas, Adrien Billat

2017

The SUMMA Platform Prototype

Philip Neil Garner, Hervé Bourlard, Andrei Popescu-Belis, Nikolaos Pappas, Sibo Tong, Yang Wang, Lesly Sadiht Miculicich Werlen

We present the first prototype of the SUMMA Platform: an integrated platform for multilingual media monitoring. The platform contains a rich suite of low-level and high-level natural language processing technologies: automatic speech recognition of broadca ...

Association for Computational Linguistics2017

A Multi-Core Reconfigurable Architecture for Ultra-Low Power Bio-Signal Analysis

David Atienza Alonso, Giovanni Ansaloni, Ruben Braojos Lopez, Soumya Subhra Basu, Loris Gérard Duch

This paper introduces a novel computing architecture devoted to the ultra-low power analysis of multiple bio-signals. Its structure comprises several processors interfaced with a shared acceleration resource, implemented as a Coarse Grained Reconfigurable ...

2016

Upper limb rehabilitation system

Giulio Rognini

The invention relates to an upper limb rehabilitation system for rehabilitating an upper limb of a subject and comprising a mobile platform coupled to a fixed platform. The mobile platform comprises an articulate handle assembly movable, during a rehabilit ...

2016

Performance Estimation Based Multicriteria Partitioning Approach for Dynamic Dataflow Programs

Marco Mattavelli, Nicolas Zufferey, Malgorzata Maria Michalska

The problem of partitioning a dataflow program onto a target architecture is a difficult challenge for any application design. In general, since the problem is NP-complete, it consists of looking for high quality solutions in terms of maximizing the achiev ...

Hindawi Limited2016

A Tighter Analysis of Work Stealing

Nicolas Gabriel Gast

Classical list scheduling is a very popular and efficient technique for scheduling jobs in parallel platforms. However, with the increasing number of processors, the cost for managing a single centralized list becomes prohibitive. The objective of this wor ...

Springer Berlin Heidelberg2010