Publications associées à Commutation de contexte

Exploring brain-inspired multi-core heterogeneous hardware templates for low-power biomedical embedded systems

The miniaturization of integrated circuits (ICs) and their higher performance and energy efficiency, combined with new machine learning algorithms and applications, have paved the way to intelligent, interconnected edge devices. In the medical domain, they ...

EPFL2023

Scalable Marine Bus-Tie Switch for Switchboard Interconnections

Drazen Dujic, Gabriele Ulissi

DC power distribution systems in marine applications are in the process of being established as the preferred solution for shipboard power distribution systems. This paper presents a bus-tie switch topology for the protection of such systems. The device is ...

2020

PoLPer: Process-Aware Restriction of Over-Privileged Setuid Calls in Legacy Applications

Mathias Josef Payer, Zhenyu Wu

setuid system calls enable critical functions such as user authentications and modular privileged components. Such operations must only be executed after careful validation. However, current systems do not perform rigorous checks, allowing exploitation of ...

ASSOC COMPUTING MACHINERY2019

dhSegment: A generic deep-learning approach for document segmentation

Frédéric Kaplan, Sofia Ares Oliveira, Benoît Laurent Auguste Seguin

In recent years there have been multiple successful attempts tackling document processing problems separately by designing task specific hand-tuned strategies. We argue that the diversity of historical document processing tasks prohibits to solve them one ...

IEEE2018

Multi-Arm Self-Collision Avoidance: A Sparse Solution for a Big Data Problem

Aude Billard, Nadia Barbara Figueroa Fernandez, Seyed Sina Mirrazavi Salehian

In this work, we propose a data-driven approach for real-time self-collision avoidance in multi-arm systems. The approach consists of modeling the regions in joint-space that lead to collisions via a Self-Collision Avoidance (SCA) boundary and use it as a ...

2018

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

A Scala Library for Testing Student Assignments on Concurrent Programming

Mikaël Mayer, Ravichandhran Kandhadai Madhavan

We present a lightweight library for testing concurrent Scala programs by systematically exploring multiple interleavings between user-specified operations on shared objects. Our library is targeted at beginners of concurrent programming in Scala, runs on ...

Assoc Computing Machinery2016

Task Scheduling for Highly Concurrent Analytical and Transactional Main-Memory Workloads

Anastasia Ailamaki, Iraklis Psaroudakis

Task scheduling typically employs a worker thread per hardware context to process a dynamically changing set of tasks. It is an appealing solution to exploit modern multi-core processors, as it eases parallelization and avoids unnecessary context switches ...

2013

The effects of practice schedule and critical thinking prompts on learning and transfer of a complex judgment task

Many instructional strategies that appear to improve learners' performance during training may not realize adequate posttest performance or transfer to a job. The converse has been found to be true as well: Instructional strategies that appear to slow the ...

2011

Improving instruction cache performance in OLTP

Anastasia Ailamaki

Instruction-cache misses account for up to 40%; of execution time in online transaction processing (OLTP) database workloads. In contrast to data cache misses, instruction misses cannot be overlapped with out-of-order execution. Chip design limitations do ...

Association for Computing Machinery2006