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Publications associées (110)

Approaches to Ukraine’s wartime and anticipated post-war reconstruction and recovery, united under a general slogan of ‘build back better’, are currently reflected in multiple policies, regulations, planning tools and data registers, as well as showcased t ...

2023

Acceleration of Control Intensive Applications on Coarse-Grained Reconfigurable Arrays for Embedded Systems

David Atienza Alonso, Miguel Peon Quiros, Benoît Walter Denkinger

Embedded systems confront two opposite goals: low-power operation and high performance. The current trend to reach these goals is toward heterogeneous platforms, including multi-core architectures with heterogeneous cores and hardware accelerators. The lat ...

2023

Tradeoffs in Low-Power Accelerators Design for Large-Scale Interferometers

David Atienza Alonso, Miguel Peon Quiros, Denisa-Andreea Constantinescu, Benoît Walter Denkinger

Large-scale scientific infrastructures like SKAO—the world’s largest radio observatory for the coming decades—are generating massive-scale data streams of multi-Tb/s to be processed using complex interferometry algorithms. Concretely, SKAO is expected to g ...

2023

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Advances in computational capabilities and large volumes of experimental data have established computer simulations of brain tissue models as an important pillar in modern neuroscience. Alongside, a variety of domain specific languages (DSLs) have been dev ...

ACM2023

WR2A: A Very-Wide-Register Reconfigurable-Array Architecture for Low-Power Embedded Devices

David Atienza Alonso, Miguel Peon Quiros, Benoît Walter Denkinger

Edge-computing requires high-performance energy-efficient embedded systems. Fixed-function or custom accelerators, such as FFT or FIR filter engines, are very efficient at implementing a particular functionality for a given set of constraints. However, the ...

2022

Electrical-Level Attacks on CPUs, FPGAs, and GPUs: Survey and Implications in the Heterogeneous Era

Mirjana Stojilovic, Dina Gamaleldin Ahmed Shawky Mahmoud

Given the need for efficient high-performance computing, computer architectures combining CPUs, GPUs, and FPGAs are nowadays prevalent. However, each of these components suffers from electrical-level security risks. Moving to heterogeneous systems, with th ...

2022

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We propose a new defense mechanism against adversarial at-tacks inspired by an optical co-processor, providing robustness without compromising natural accuracy in both white-box and black-box settings. This hardware co-processor performs a nonlinear fixed ...

IEEE2022

The booming popularity of online services has led to a major evolution in the way these services are built and deployed. To cope with such online data-intensive services, service providers deploy several massive-scale datacenters, also referred to as wareh ...

EPFL2021

mu RAI: Securing Embedded Systems with Return Address Integrity

Mathias Josef Payer

Embedded systems are deployed in security critical environments and have become a prominent target for remote attacks. Microcontroller-based systems (MCUS) are particularly vulnerable due to a combination of limited resources and low level programming whic ...

INTERNET SOC2020

GPU-accelerated data management under the test of time

Anastasia Ailamaki, Periklis Chrysogelos, Angelos Christos Anadiotis, Panagiotis Sioulas, Syed Mohammad Aunn Raza

GPUs are becoming increasingly popular in large scale data center installations due to their strong, embarrassingly parallel, processing capabilities. Data management systems are riding the wave by using GPUs to accelerate query execution, mainly for analy ...

2020

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