Book Image

Python Parallel Programming Cookbook

By : Giancarlo Zaccone
Book Image

Python Parallel Programming Cookbook

By: Giancarlo Zaccone

Overview of this book

This book will teach you parallel programming techniques using examples in Python and will help you explore the many ways in which you can write code that allows more than one process to happen at once. Starting with introducing you to the world of parallel computing, it moves on to cover the fundamentals in Python. This is followed by exploring the thread-based parallelism model using the Python threading module by synchronizing threads and using locks, mutex, semaphores queues, GIL, and the thread pool. Next you will be taught about process-based parallelism where you will synchronize processes using message passing along with learning about the performance of MPI Python Modules. You will then go on to learn the asynchronous parallel programming model using the Python asyncio module along with handling exceptions. Moving on, you will discover distributed computing with Python, and learn how to install a broker, use Celery Python Module, and create a worker. You will understand anche Pycsp, the Scoop framework, and disk modules in Python. Further on, you will learnGPU programming withPython using the PyCUDA module along with evaluating performance limitations.
Table of Contents (8 chapters)
7
Index

Scientific computing with SCOOP


Scalable Concurrent Operations in Python (SCOOP) is a Python module to distribute concurrent tasks (called Futures) on heterogeneous computational nodes. Its architecture is based on the ØMQ package, which provides a way to manage Futures between the distributed systems. The main application of SCOOP resides in scientific computing that requires the execution of many distributed tasks using all the computational resources available.

To distribute its futures, SCOOP uses a variation of the broker patterns:

The SCOOP architecture

The central element of the communication system is the broker that interacts with all the independent workers to dispatch messages between them. The Futures are created in the worker elements instead of the central node (the broker) with a centralized serialization procedure. This makes the topology architecture more reliable and makes performance better. In fact, the broker's main workload consists of networking and interprocess I/O...