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Distributed Computing with Python. Harness the power of multiple computers using Python through this fast-paced informative guide

Distributed Computing with Python. Harness the power of multiple computers using Python through this fast-paced informative guide

Rasheedh B, Francesco Pierfederici

E-BOOK
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CPU-intensive data processing tasks have become crucial considering the complexity of the various big data applications that are used today. Reducing the CPU utilization per process is very important to improve the overall speed of applications.

This book will teach you how to perform parallel execution of computations by distributing them across multiple processors in a single machine, thus improving the overall performance of a big data processing task. We will cover synchronous and asynchronous models, shared memory and file systems, communication between various processes, synchronization, and more.
  • 1. Introduction to Parallel and Distributed Computing
  • 2. Synchronous and Asynchronous Programming
  • 3. Parallelism in Python
  • 4. Distributed Applications with Celery
  • 5. Python in the Cloud
  • 6. Python on a HPC Cluster
  • 7. Testing and Debugging Distributed Applications
  • 8. The Road ahead
  • Titel:Distributed Computing with Python. Harness the power of multiple computers using Python through this fast-paced informative guide
  • Autor:Rasheedh B, Francesco Pierfederici
  • Originaler Titel:Distributed Computing with Python. Harness the power of multiple computers using Python through this fast-paced informative guide
  • ISBN:9781785887048, 9781785887048
  • Veröffentlichungsdatum:2016-04-12
  • Format:E-Book
  • Artikel-ID: e_3clf
  • Verleger: Packt Publishing