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PyErlang: A Stepping Stone towards Behaviour-Oriented Concurrency in Python (Keynote)

Year: 2025

Type: conference-abstract

Abstract: Python was designed in an era of mostly single-core machines, where concurrency was typically not parallel, and Dennard scaling made us rely on ever-faster single core CPUs coming onto the market every year. In this context, Python's Global Interpreter Lock (GIL)-based design is easily motivated: only one thread may interpret bytecodes at a time in a Python program. This buys a lot of simplicity for your runtime, but it also means that throwing more cores at a Python program does not make it go faster.

DOI: 10.1145/3759161.3771262

Author: Tobias Wrigstad

Institution: Uppsala University

Language: English

Topic: Logic, programming, and type systems

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Funder: Vetenskapsrådet

Awards: Data-race Freedom and Memory Safety for Untyped Languages, Pervasive Memory Safety through Ownership Types

OpenAlex ID: W4415004268

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