Distributed computing with Python : harness the power of multiple computers using Python through this fast-paced informative guide /

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Pierfederici, Francesco (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, UK : Packt Publishing, 2016.
Colección:Community experience distilled.
Temas:
Electronic data processing > Distributed processing.
Python (Computer program language)
Computer networks.
Computer Communication Networks
Traitement réparti.
Python (Langage de programmation)
Réseaux d'ordinateurs.
COMPUTERS / Programming Languages / Python.
Computer networks
Electronic data processing > Distributed processing
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Cover; Copyright; Credits; About the Author; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Chapter 1: An Introduction to Parallel and Distributed Computing; Parallel computing; Distributed computing; Shared memory versus distributed memory; Amdahl's law; The mixed paradigm; Summary; Chapter 2: Asynchronous Programming; Coroutines; An asynchronous example; Summary; Chapter 3: Parallelism in Python; Multiple threads; Multiple processes; Multiprocess queues; Closing thoughts; Summary; Chapter 4: Distributed Applications
  • with Celery; Establishing a multimachine environment
  • Installing CeleryTesting the installation; A tour of Celery; More complex Celery applications; Celery in production; Celery alternatives
  • Python-RQ; Celery alternatives
  • Pyro; Summary; Chapter 5: Python in the Cloud; Cloud computing and AWS; Creating an AWS account; Creating an EC2 instance; Storing data in Amazon S3; Amazon elastic beanstalk; Creating a private cloud; Summary; Chapter 6: Python on an HPC Cluster; Your typical HPC cluster; Job schedulers; Running a Python job using HTCondor; Running a Python job using PBS; Debugging; Summary
  • Chapter 7: Testing and Debugging Distributed ApplicationsThe big picture; Common problems
  • clocks and time; Common problems
  • software environments; Common problems
  • permissions and environments; Common problems
  • the availability of hardware resources; Challenges
  • the development environment; A useful strategy
  • logging everything; A useful strategy
  • simulating components; Summary; Chapter 8: The Road Ahead; The first two chapters; The tools; The cloud and the HPC world; Debugging and monitoring; Where to go next; Index

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