What is this book about? Nowadays, it has become extremely important for programmers to understand the link between the software and the parallel nature of their hardware so that their programs run ...

Python is powerful, versatile, and programmer-friendly, but it isn’t the fastest programming language around. Some of Python’s speed limitations are due to its default implementation, CPython, being ...

This workshop teaches practical parallel programming in Python through real-world examples. You'll learn when and how to use different parallelization approaches, understand their performance ...

Multiprocessing enables the computer to utilize multiple cores of a CPU to run tasks/processes in parallel. This parallelization leads to significant speedup in tasks that involve a lot of computation ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Parallel computing is a sort of computation that performs several calculations or processes at the same time. Large problems are frequently broken into smaller ones that can be tackled simultaneously.

Abstract: Python is a widely used language in scientific computing. When the goal is high performance, however, Python lags far behind low-level languages such as C and Fortran. To support ...