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Network Multicomputing Using Recoverable Distributed Shared Memory

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Reliable Microsecond-Scale Distributed Computing

Athanasios Xygkis

The landscape of computing is changing, thanks to the advent of modern networking equipment that allows machines to exchange information in as little as one microsecond. Such advancement has enabled microsecond-scale distributed computing, where entire dis ...

EPFL2023

Asynchronous Branch-Paralle Simulation of Detailed Neuron Models

Michael Lee Hines

Simulations of electrical activity of networks of morphologically detailed neuron models allow for a better understanding of the brain. State-of-the-art simulations describe the dynamics of ionic currents and biochemical processes within branching topologi ...

FRONTIERS MEDIA SA2019

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

Network-Compute Co-Design for Distributed In-Memory Computing

Alexandros Daglis

The booming popularity of online services is rapidly raising the demands for modern datacenters. In order to cope with data deluge, growing user bases, and tight quality of service constraints, service providers deploy massive datacenters with tens to hund ...

EPFL2018

Passing Messages while Sharing Memory

Rachid Guerraoui, Naama Ben David

We introduce a new distributed computing model called m&m that allows processes to both pass messages and share memory. Motivated by recent hardware trends, we find that this model improves the power of the pure message-passing and shared-memory models. As ...

ASSOC COMPUTING MACHINERY2018

The Disclosure Power of Shared Objects

Rachid Guerraoui, Mihail Igor Zablotchi, Julien Michel Stainer, Peva François Blanchard

Shared objects are the means by which processes gather and exchange information about the state of a distributed system. Objects that disclose more information about the system—and thus provide a more centralized view—are therefore more desirable. In this ...

2017

The Disclosure Power of Shared Objects

Rachid Guerraoui, Mihail Igor Zablotchi, Julien Michel Stainer, Peva François Blanchard

Shared objects are the means by which processes gather and exchange information about the state of a distributed system. Objects that disclose more information about the system are therefore more desirable. In this paper, we propose the schedule reconstruc ...

2017

Scalable Monitoring of Interconnected Stochastic Systems

Giancarlo Ferrari Trecate, Marcello Farina

In this paper, we propose a novel distributed fault detection method to monitor the state of a linear system, partitioned into interconnected subsystems. The approach hinges on the definition of a partition-based distributed Luenberger estimator, based on ...

2016

Scale-out non-uniform memory access

Babak Falsafi, Edouard Bugnion, Boris Robert Grot, Alexandros Daglis, Stanko Novakovic

A computing system that uses a Scale-Out NUMA (“soNUMA”) architecture, programming model, and/or communication protocol provides for low-latency, distributed in-memory processing. Using soNUMA, a programming model is layered directly on top of a NUMA memor ...

2015

A Plug-and-Play fault diagnosis approach for large-scale systems

Giancarlo Ferrari Trecate

This paper proposes a novel Plug-and-Play (PnP) dynamic approach for the monitoring of Large-Scale Systems (LSSs). The proposed architecture exploits a distributed Fault Detection and Isolation (FDI) methodology for nonlinear LSS in a PnP framework. The LS ...

2015