Publications associées à Interblocage

DG-Mix: Domain Generalization for Anomalous Sound Detection Based on Self-Supervised Learning

Olga Fink, Ismail Nejjar, Gaëtan Michel Frusque

Detecting anomalies in sound data has recently received significant attention due to the increasing number of implementations of sound condition monitoring solutions for critical assets. In this context, changing operating conditions impose significant dom ...

2022

OneFile: A Wait-free Persistent Transactional Memory

Nachshon Cohen, Pascal Felber

A persistent transactional memory (PTM) library provides an easy-to-use interface to programmers for using byte-addressable non-volatile memory (NVM). Previously proposed PTMs have, so far, been blocking. We present OneFile, the first wait-free PTM with in ...

IEEE COMPUTER SOC2019

Optimized Quantization in Distributed Graph Signal Processing

Pascal Frossard, Isabela Cunha Maia Nobre

Distributed graph signal processing methods require that the graph nodes communicate by exchanging messages. These messages have a finite precision in a realistic network, which may necessitate to implement quantization. Quantization, in turn, generates er ...

IEEE2019

Priority coordination of fiber positioners in multi-objects spectrographs

Denis Gillet, Jean-Paul Richard Kneib, Mohamed Bouri, Laleh Makarem

Projects such as "The Dark Energy Spectroscopic Instrument" (DESI) [1] or "The Multi Object Optical and Near-infrared Spectrograph" (MOONS) [5] are developing spectrographs, composed of more than thousand of optical fibers in a confined hexagonal focal pla ...

SPIE-INT SOC OPTICAL ENGINEERING2018

MOOLs for MOOCs: A first edX scalable implementation

Denis Gillet, Christophe Salzmann, Yves Henri Philippe Piguet

Deploying remote laboratories at a large scale is the next challenge in remote experimentation. It is referred as Massive Open Online Labs (MOOLs). Being able to sustain a massive number of users accessing a specific resource concurrently is a complex task ...

IEEE2016

Optimistic Concurrency with OPTIK

Rachid Guerraoui, Vasileios Trigonakis

We introduce OPTIK, a new practical design pattern for designing and implementing fast and scalable concurrent data structures. OPTIK relies on the commonly-used technique of version numbers for detecting conflicting concurrent operations. We show how to i ...

ACM Press2016

Job-aware Scheduling in Eagle: Divide and Stick to Your Probes

Willy Zwaenepoel, Pamela Isabel Delgado Borda, Diego Didona, Florin Dinu

We present Eagle, a new hybrid data center scheduler for data-parallel programs. Eagle dynamically divides the nodes of the data center in partitions for the execution of long and short jobs, thereby avoiding head-of-line blocking. Furthermore, it provides ...

ACM2016

Distributed Deconfliction Algorithm for Unmanned Aerial Vehicles with Limited Range and Field of View Sensors

Denis Gillet, Alcherio Martinoli, Steven Adriaan Roelofsen

This paper proposes a novel approach for collision avoidance between Unmanned Aerial Vehicles (UAVs) with limited range and field of view sensors. The algorithm is designed for unicycle vehicles that need to fly above a specific minimal speed to maintain f ...

2015

Resolve: Enabling Accurate Parallel Monitoring under Relaxed Memory Models

Babak Falsafi, Sotiria Fytraki, Evangelos Vlachos

Hardware-assisted instruction-grain monitoring frameworks provide high-coverage, low overhead debugging support for parallel programs. Unfortunately, existing frameworks are ill-suited for the relaxed memory models employed by nearly all modern processor a ...

2014

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Interblocage

DG-Mix: Domain Generalization for Anomalous Sound Detection Based on Self-Supervised Learning

High-Level Synthesis of Dynamically Scheduled Circuits

OneFile: A Wait-free Persistent Transactional Memory

Optimized Quantization in Distributed Graph Signal Processing

Priority coordination of fiber positioners in multi-objects spectrographs

MOOLs for MOOCs: A first edX scalable implementation

Optimistic Concurrency with OPTIK

Job-aware Scheduling in Eagle: Divide and Stick to Your Probes

Distributed Deconfliction Algorithm for Unmanned Aerial Vehicles with Limited Range and Field of View Sensors

Resolve: Enabling Accurate Parallel Monitoring under Relaxed Memory Models

Graph Chatbot

Chattez avec Graph Search

MOOLs for MOOCs: A first edX scalable implementation

Job-aware Scheduling in Eagle: Divide and Stick to Your Probes

Optimistic Concurrency with OPTIK

OneFile: A Wait-free Persistent Transactional Memory

DG-Mix: Domain Generalization for Anomalous Sound Detection Based on Self-Supervised Learning

Priority coordination of fiber positioners in multi-objects spectrographs

Resolve: Enabling Accurate Parallel Monitoring under Relaxed Memory Models

Distributed Deconfliction Algorithm for Unmanned Aerial Vehicles with Limited Range and Field of View Sensors