Parisian Master of Research in Computer Science
Master Parisien de Recherche en Informatique (MPRI)

Cours 2.18.2: Shared-Memory Distributed Computing/Algorithmique distribuée avec mémoire partagée (24h, 3ECTS)

Enseignants pour l'année 2020-21 / Teachers in charge for 2020-21

* Carole Delporte (IRIF, Université Paris Diderot) * Hugues Fauconnier (IRIF, Université Paris Diderot)

Sommaire / Summary

Distributed computing concerns designing and understanding algorithms for sets of independent computing units that have to communicate to coordinate their activities. The problem space of distributed computing is vast and it would be impossible to undertake an exhaustive study within a single course. Even a small-scale distributed system may expose an amazingly complex behavior that would make it very challenging to formally reason about. But we have to meet the challenge! Due to inherent limitations of centralized computing, all computing systems nowadays is becoming distributed, ranging from Internet-scale services to multiprocessors. Therefore, understanding the principles of distribution and concurrency is indispensable in all aspects of designing and engineering modern computing systems. The main challenge here is to balance correctness of the system's executions with its availability and efficiency, in the presence of possible misbehavior of the system components and the environment (such as faults and asynchrony).

This course discusses how to design distributed algorithms, reason about their correctness, and derive matching complexity bounds. The primary focus of the module is on understanding of the foundations of distributed computing. This course focuses on the models in which computing units communicate through a shared memory. The related course 2.18.1 deals with distributed algorithms for synchronous networks.


Lectures are given in French.


P1, Tuesdays, starting from 15/09/2020, 12h45-15h45, Bat. Sophie Germain, Room 1014

Part I

In this part, we introduce the notion of synchronization and consistency in shared-memory distributed computing and discuss different synchronization techniques

  • Introduction, theory and practice of distributed systems
  • Synchronization; mutual exclusion
Part II

In this part, we discuss nonblocking and wait-free implementation of shared-memory abstractions, the fundamental problem of consensus, and the notion of a universal construction.

  • Safe, regular, and atomic registers
  • Atomic-object implementations, atomic snapshot as an example
  • Herlihy's hierarchy of atomic objects
  • Consensus universality
Part III

In this part, we study two or three of these topics:

  • Distributed tasks: k-set agreement, renaming
  • Safe agreement
  • Random consensus
  • t-resilience
  • Failures detectors
  • Simulation of Borowsky and Gafni, with applications.
  • Byzantine failures

Planning prévisionnel/Preliminary schedule

15/09/2020 Introduction: synchronization, mutual exclusion pdf pdf
22/09/2020 Read-write shared memory basics pdf
29/09/2020 abs
06/10/2020 Atomic et immediat snapshot pdf
13/10/2020 Linéarisabilité, impossibilité du consensus, hiérarchie, universalité pdf Devoir à envoyer pour le 10 novembre pdf
20/10/2020 suite du cours du 13/10 pdf lien zoom code secret d'accés TR?751mE!0
27/10/2020 Consensus (suite) pdf lien zoom Code secret: G7jutb+z#y
03/11/2020 Renaming, Détecteurs de défaillances pdf lien zoom Code secret: Code secret: Ukk.M$0b7!
24/11/2020 Exam (12:45-15:45) en distanciel pdfbbb pour nous joindre

Pré-requis / Prerequisites

None, though some maturity in mathematical reasoning and algorithms is expected.

Livres conseillés / Literature

* R. Guerraoui and P. Kuznetsov. Algorithms for concurrent systems. PPUR, 2019

* Maurice Herlihy and Nir Shavit. The art of multiprocessor programming. Morgan Kaufmann 2008.

* Hagit Attiya and Jennifer Welch. Distributed Computing: Fundamentals, Simulations, and Advanced Topics. John Wiley and Sons, Inc.

Liste cohérentes de cours sur la thématique ” Algorithmes et complexité” / Related Courses

Equipe pédagogique

* Carole Delporte (Professeur, IRIF, Université Paris Diderot) * Hugues Fauconnier (Professeur, IRIF, Université Paris Diderot) * Pierre Fraigniaud (Directeur de Recherche CNRS, IRIF, Université Paris Diderot) * Amos Korman (Chargé de Recherche CNRS, IRIF, Université Paris Diderot) * Petr Kuznetsov (Professeur, INFRES, Télécom ParsiTech) * Laurent Viennot (Directeur de Recherche INRIA, IRIF, Université Paris Diderot)

Universités partenaires Université Paris-Diderot
Université Paris-Saclay
ENS Cachan École polytechnique Télécom ParisTech
Établissements associés Université Pierre-et-Marie-Curie CNRS INRIA CEA