Publications related to A Self-organized Method for Computing the Epidemic Threshold in Computer Networks

Related publications (20)

Multimodal Prediction Framework for Total Shoulder Arthroplasty Outcomes: Integrating Morphological, Musculoskeletal, Finite Element, and Bayesian Causal Models

This thesis aimed to estimate the effect of demographic and biomechanical preoperative variables on total shoulder arthroplasty (TSA) outcomes. To achieve this, various biomechanical variables were calculated using a clinical database comprising normal and ...

EPFL2025

Enhancing Prostate Cancer Diagnosis with In-Memory Sensing and Edge Computing of Percent-free PSA Index

Alireza Mafi, Sandro Carrara, Ata Jedari Golparvar, Gian Luca Barbruni

In this paper, we are presenting a new architecture to directly compute the ‘Percent-free PSA’ diagnostics index to enhance the differentiation of prostate cancer from benign prostatic disease. The proposed circuit uses silicon nanowires-based memristive b ...

Institute of Electrical and Electronics Engineers Inc.2024

Balancing computational chemistry's potential with its environmental impact

Philippe Schwaller, Oliver Tobias Schilter

Computational chemistry techniques offer tremendous potential for accelerating the discovery of sustainable chemical processes and reactions. However, the environmental impacts of the substantial computing power required for these digital methods are often ...

ROYAL SOC CHEMISTRY2024

Neural Network Potentials for Age Hardening Aluminum Alloys

Daniel John Gilles Marchand

High-strength metal alloys achieve their performance via careful control of precipitates and solutes. The nucleation, growth, and kinetics of precipitation, and the resulting mechanical properties, are inherently atomic scale phenomena, particularly during ...

EPFL2022

Reinforcement Learning-Based Joint Reliability and Performance Optimization for Hybrid-Cache Computing Servers

David Atienza Alonso, Marina Zapater Sancho, Ali Pahlevan, Darong Huang, Luis Maria Costero Valero

Computing servers play a key role in the development and process of emerging compute-intensive applications in recent years. However, they need to operate efficiently from an energy perspective viewpoint, while maximizing the performance and lifetime of th ...

2022

Advances in Quantum Computation and Quantum Technologies: A Design Automation Perspective

Giovanni De Micheli

Universal and fault-tolerant quantum computation is a promising new paradigm that may efficiently conquer difficult computation tasks beyond the reach of classical computation. It motivates the development of various quantum technologies. The rapid progres ...

2022

Design and Optimization of Quantum Electronic Circuits

Giovanni De Micheli

Quantum electronic circuits where the logic information is processed and stored in single flux quanta promise efficient computation in a performance/power metric, and thus are of utmost interest as possible replacement or enhancement of CMOS. Several elect ...

ASSOC COMPUTING MACHINERY2022

Combining cryognic ion spectroscopy with ion mobility for the study of glycan fragmentation

Robert Paul Pellegrinelli

The importance of glycans in biological processes are matched by their structural complexity. Coating the surface of most living cells, glycans play key roles in many biological processes, and the role they play is closely related to their structures. Stru ...

EPFL2021

Routing of Electric Vehicles With Intermediary Charging Stations: A Reinforcement Learning Approach

Christophe Ballif, Nicolas Würsch, Marina Dorokhova

In the past few years, the importance of electric mobility has increased in response to growing concerns about climate change. However, limited cruising range and sparse charging infrastructure could restrain a massive deployment of electric vehicles (EVs) ...

2021

An Architecture for Load Balance in Computer Cluster Applications

Laurent Bindschaedler

Amid a data revolution that is transforming industries around the globe, computing systems have undergone a paradigm shift where many applications are scaled out to run on multiple computers in a computing cluster. As the storage and processing capabilitie ...

EPFL2020

BLADE: A BitLine Accelerator for Devices on the Edge

David Atienza Alonso, Marina Zapater Sancho, Alexandre Sébastien Julien Levisse, William Andrew Simon, Yasir Mahmood Qureshi

The increasing ubiquity of edge devices in the consumer market, along with their ever more computationally expensive workloads, necessitate corresponding increases in computing power to support such workloads. In-memory computing is attractive in edge devi ...

2019

Mitsuba 2: A Retargetable Forward and Inverse Renderer

Wenzel Alban Jakob, Tizian Lucien Zeltner, Merlin Eléazar Nimier-David, Delio Aleardo Vicini

Modern rendering systems are confronted with a dauntingly large and growing set of requirements: in their pursuit of realism, physically based techniques must increasingly account for intricate properties of light, such as its spectral composition or polar ...

ASSOC COMPUTING MACHINERY2019

Hydraulic-morphological habitat assessment in rivers considering residual flow, sediment replenishment and artificial flood events

Severin Stähly

Dams store water and trap sediment in their reservoirs. Downstream river segments, hence, are affected by a limited sediment dynamics. This becomes obvious by river bed incision, limited geomorphological variability and depletion of hydraulic habitats for ...

EPFL2019

Preserving Perceptual Contrast in Decolorization with Optimized Color Orders

Sabine Süsstrunk, Bin Jin

Converting a color image to a grayscale image, namely decolorization, is an important process for many real-world applications. Previous methods build contrast loss functions to minimize the contrast differences between the color images and the resultant g ...

2017

Language Support for Distributed Functional Programming

Heather Christine Klug

Software development has taken a fundamental turn. Software today has gone from simple, closed programs running on a single machine, to massively open programs, patching together user experiences byway of responses received via hundreds of network requests ...

EPFL2015

Fixed-order Controller Design for State Space Polytopic Systems by Convex Optimization

Alireza Karimi

In this paper, a new method for fixed-order controller design of systems with polytopic uncertainty in their state space representation is proposed. The approach uses the strictly positive realness (SPRness) of some transfer functions, as a tool to decoupl ...

2013

Energy-Proportional and Scalable Networks

Nedeljko Vasic

The power consumption of the Internet and datacenter networks is already significant due to a large degree of redundancy and high idle power consumption of the network elements. Therefore, dynamically matching network resources to the actual load is highly ...

EPFL2011

A Tighter Analysis of Work Stealing

Nicolas Gabriel Gast

Classical list scheduling is a very popular and efficient technique for scheduling jobs in parallel platforms. However, with the increasing number of processors, the cost for managing a single centralized list becomes prohibitive. The objective of this wor ...

Springer Berlin Heidelberg2010

Towards Provable Secure Neighbor Discovery in Wireless Networks

Jean-Pierre Hubaux, Panagiotis Papadimitratos, Marcin Poturalski

In wireless systems, neighbor discovery (ND) is a fundamental building block: determining which devices are within direct radio communication is an enabler for networking protocols and a wide range of applications. To thwart abuse of ND and the resultant c ...

ACM2008

Outcomes of the Joint International Conference on Computing and Decision Making in Civil and Building Engineering, Montreal 2006

Ian Smith

Springer2006