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Related publications (25)

An Open-Hardware Coarse-Grained Reconfigurable Array for Edge Computing

David Atienza Alonso, Giovanni Ansaloni, José Angel Miranda Calero, Benoît Walter Denkinger, Juan Pablo Sapriza Araujo, Ruben Rodriguez, Rubén Rodríguez Álvarez

In this work, we propose an open-hardware low-power coarse-grained reconfigurable array connected to a lightweight microcontroller and enclosed in an application mapping framework. The latter provides complete support to configure kernels in the reconfigur ...

2023

ACTOR: Action-Guided Kernel Fuzzing

Mathias Josef Payer

Fuzzing reliably and efficiently finds bugs in software, including operating system kernels. In general, higher code coverage leads to the discovery of more bugs. This is why most existing kernel fuzzers adopt strategies to generate a series of inputs that ...

Usenix Assoc2023

Thwarting Malicious Adversaries in Homomorphic Encryption Pipelines

Sylvain Chatel

Homomorphic Encryption (HE) enables computations to be executed directly on encrypted data. As such, it is an auspicious solution for protecting the confidentiality of sensitive data without impeding its usability. However, HE does not provide any guarant ...

EPFL2023

Compilation and Design Space Exploration of Dataflow Programs for Heterogeneous CPU-GPU Platforms

Aurélien François Gilbert Bloch

Today's continued increase in demand for processing power, despite the slowdown of Moore's law, has led to an increase in processor count, which has resulted in energy consumption and distribution problems. To address this, there is a growing trend toward ...

EPFL2023

Performance Estimation of High-Level Dataflow Program on Heterogeneous Platforms by Dynamic Network Execution

Marco Mattavelli, Simone Casale Brunet, Aurélien François Gilbert Bloch

The performance of programs executed on heterogeneous parallel platforms largely depends on the design choices regarding how to partition the processing on the various different processing units. In other words, it depends on the assumptions and parameters ...

MDPI2022

Broadening artificial intelligence education in K-12: Where to Start?

Pierre Dillenbourg

Moving from steam and waterpower, electricity and assembly lines, and computerization, to the adoption of cyber-physical systems, the Internet of Things and the Internet of Systems executed as intelligent machines, the world now dives into a new era called ...

2020

Programming Heterogeneous CPU-GPU Systems by High-Level Dataflow Synthesis

Marco Mattavelli, Endri Bezati, Aurélien François Gilbert Bloch

Heterogeneous processing platforms combining in various architectures CPUs, GPUs, and programmable logic, are continuously evolving providing at each generation higher theoretical levels of computing performance. However, the challenge of how efficiently s ...

IEEE2020

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

Task scheduling for highly concurrent analytical and transaction workloads

Anastasia Ailamaki, Iraklis Psaroudakis

Systems and method for a task scheduler with dynamic adjustment of concurrency levels and task granularity are disclosed for improved execution of highly concurrent analytical and transactional systems. The task scheduler can avoid both over commitment and ...

2020

Improving Main-memory Database System Performance through Cooperative Multitasking

Georgios Psaropoulos

Database systems access memory either sequentially or randomly. Contrary to sequential access and despite the extensive efforts of computer architects, compiler writers, and system builders, random access to data larger than the processor cache has been s ...

EPFL2019

Reconciling Being in-Control vs. Being Helped for the Execution of Complex Movements in VR

Ronan Boulic, Bruno Herbelin, Thibault Serge Mario Porssut

Performing motor tasks in virtual environments is best achieved with motion capture and animation of a 3D character that participants control in real time and perceive as being their avatar in the virtual environment. A strong Sense of Embodiment (SoE) for ...

IEEE2019

Code Generation in Computational Neuroscience: A Review of Tools and Techniques

Pramod Shivaji Kumbhar

Advances in experimental techniques and computational power allowing researchers to gather anatomical and electrophysiological data at unprecedented levels of detail have fostered the development of increasingly complex models in computational neuroscience ...

2018

Data To Reproduce "Cim-Citysim Coupling" On The Epfl Campus

Jean-Louis Scartezzini, Silvia Coccolo, Dasaraden Mauree

The data to reproduce results from the paper " Multi-scale modelling to evaluate building energy consumption at the neighbourhood scale " with DOI : 10.1371/journal.pone.0183437 can be found in this repository. We provide the useful data to rerun the CityS ...

2017

Type Soundness for Dependent Object Types (DOT)

Tiark Rompf, Nada Amin

Scala's type system unifies aspects of ML modules, object-oriented, and functional programming. The Dependent Object Types (DOT) family of calculi has been proposed as a new theoretic foundation for Scala and similar expressive languages. Unfortunately, ty ...

Assoc Computing Machinery2016

Type Soundness for Dependent Object Types

Tiark Rompf, Nada Amin

Scala’s type system unifies aspects of ML modules, object-oriented, and functional programming. The Dependent Object Types (DOT) family of calculi has been proposed as a new theoretic foundation for Scala and similar expressive languages. Unfortunately, ty ...

2016

RUBIK: Efficient Threshold Queries on Massive Time Series

Anastasia Ailamaki, Thomas Heinis, Farhan Tauheed, Eleni Tzirita Zacharatou

An increasing number of applications from finance, meteorology, science and others are producing time series as output. The analysis of the vast amount of time series is key to understand the phenomena studied, particularly in the simulation sciences, wher ...

2015

Hardware/Software Approach for Code Synchronization in Low-Power Multi-Core Sensor Nodes

David Atienza Alonso, Giovanni Ansaloni, Ruben Braojos Lopez, Ivan Beretta

Latest embedded bio-signal analysis applications, targeting low-power Wireless Body Sensor Nodes (WBSNs), present conflicting requirements. On one hand, bio-signal analysis applications are continuously increasing their demand for high computing capabiliti ...

IEEE/ACM Press2014

Manual Parallelization Versus State-of-the-Art Parallelization Techniques: The SPEC CPU2006 as a Case Study

Aleksandar Vitorovic

Being multiprocessors (both on-chip and/or off-chip), modern computer systems can automatically exploit the benefits of parallel programs, but their resources remain underutilized in executing still-Prevailing sequential applications. An obvious solution i ...

Elsevier Academic Press Inc2014

ADDICT: Advanced Instruction Chasing for Transactions

Anastasia Ailamaki, Pinar Tözün

Recent studies highlight that traditional transaction processing systems utilize the micro-architectural features of modern processors very poorly. L1 instruction cache and long-latency data misses dominate execution time. As a result, more than half of th ...

2014

Modeling an America's Cup Regatta as a Sequential Stochastic Game

Jean-Benoît Rossel

The main objective of this thesis is to model a regatta in the America’s Cup, and more precisely the first leg of the race, where the two competing sailboats have to move upwind. During the race, each crew attempts to be the first to reach the end of this ...

EPFL2013