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Publications associées (31)

Dynamic Model Pruning with Feedback

Martin Jaggi, Luis Felipe Barba Flores, Sebastian Urban Stich, Tao Lin, Daniil Dmitriev

Deep neural networks often have millions of parameters. This can hinder their deployment to low-end devices, not only due to high memory requirements but also because of increased latency at inference. We propose a novel model compression method that gener ...

2020

On the Modeling of Non-Vertical Risers in the Interaction of Electromagnetic Fields With Overhead Lines

Farhad Rachidi-Haeri, Marcos Rubinstein, Jun Guo

This paper proposes a simple method to take into account non-vertical risers through an equivalent partial inductance. The proposed approach was validated considering several examples and taking as reference full-wave results obtained using a numerical ele ...

2019

Calculation of High-Frequency Electromagnetic Field Coupling to Overhead Transmission Line Above a Lossy Ground and Terminated With a Nonlinear Load

Jun Guo

High-frequency electromagnetic fields such as those associated with electromagnetic pulse (EMP) and intentional electromagnetic interference (IEMI) can couple to overhead power lines. Since the height of the overhead power lines can be comparable or even l ...

2019

On the representation of thin wires inside lossy dielectric materials for FDTD‐based LEMP simulations

Farhad Rachidi-Haeri, Marcos Rubinstein, Akiyoshi Tatematsu

The finite-difference time-domain method is one of the most widely used numerical electromagnetic computation techniques, and it has become an effective tool for analyzing electromagnetic transient phenomena in three-dimensional structures and grounding sy ...

2019

Power Analysis Resilient SRAM Design Implemented with a 1% Area Overhead Impedance Randomization Unit for Security Applications

Robert Giterman

Power analysis attacks are an effective tool to extract sensitive information using side-channel analysis, forming a serious threat to IoT systems-on-a-chip (SoCs). Embedded memories implemented with conventional 6T SRAM macrocells often dominate the area ...

IEEE2019

Estimation of the expected annual number of flashovers in power distribution lines due to negative and positive lightning

Farhad Rachidi-Haeri, Carlo Alberto Nucci

The paper deals with the estimation of the expected annual number of flashovers in overhead power distribution lines due to indirect lightning strokes and aims at extending a procedure previously proposed by the authors, limited to negative downward events ...

Elsevier2019

System Support for Efficient Replication in Distributed Systems

Dragos-Adrian Seredinschi

Current online applications, such as search engines, social networks, or file sharing services, execute across a distributed network of machines. They provide non-stop services to their users despite failures in the underlying network. To achieve such a hi ...

EPFL2019

MAGNETIC: Multi-Agent Machine Learning-Based Approach for Energy Efficient Dynamic Consolidation in Data Centers

David Atienza Alonso, Marina Zapater Sancho, Ali Pahlevan, Kosar Haghshenas

Improving the energy efficiency of data centers while guaranteeing Quality of Service (QoS), together with detecting performance variability of servers caused by either hardware or software failures, are two of the major challenges for efficient resource m ...

2022

AC/DC Ratio Enhancement in Photoplethysmography Using a Pinned Photodiode

Christian Enz, Assim Boukhayma, Antonino Caizzone

Photoplethysmography (PPG) enables non-invasive vitals monitoring. Nevertheless, it is intrinsically limited by the extremely small AC/DC ratio, also called perfusion-index (PI). This increases the dynamic-range requirements to reliably process the PPG wav ...

Institute of Electrical and Electronics Engineers2019

Secured Routines: Language-based Construction of Trusted Execution Environments

James Richard Larus, Edouard Bugnion, Adrien Ghosn

Trusted Execution Environments (TEEs), such as Intel SGX enclaves, use hardware to ensure the confidentiality and integrity of operations on sensitive data. While the technology is available on many processors, the complexity of its programming model and i ...

USENIX ASSOC2019

A machine learning approach for power gating the FPGA routing network

Mirjana Stojilovic, Hossein Asadi

Power gating is a common approach for reducing circuit static power consumption. In FPGAs, resources that dominate static power consumption lie in the routing network. Researchers have proposed several heuristics for clustering multiplexers in the routing ...

IEEE COMPUTER SOC2019

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