Proceedings Programming Language Approaches to Concurrency- and Communication-cEntric Software

TL;DR

This paper discusses the challenges and methodologies for programming concurrency- and communication-centric software on modern parallel and distributed hardware platforms, emphasizing the need for new foundational and practical approaches.

Contribution

It presents a collection of research ideas and methodologies from the 11th PLACES workshop focused on concurrency and communication in modern software development.

Findings

Highlights the importance of effective programming models for large-scale parallel systems

Identifies key challenges in ensuring performance, correctness, and scalability

Showcases diverse approaches from international researchers

Abstract

Modern hardware platforms, from the very small to the very large, increasingly provide parallel and distributed computing resources for applications to maximise performance. Many applications therefore need to make effective use of tens, hundreds, and even thousands of compute nodes. Computation in such systems is thus inherently concurrent and communication centric. Effectively programming such applications is challenging; performance, correctness, and scalability are difficult to achieve. The development of effective programming methodologies for this increasingly parallel landscape therefore demands exploration and understanding of a wide variety of foundational and practical ideas. The International Workshop on Programming Language Approaches to Concurrency- and Communication-cEntric Software (PLACES) is dedicated to work in this area. The workshop offers a forum for researchers from different fields to exchange new ideas about these challenges to modern and future programming, where concurrency and distribution are the norm rather than a marginal concern. This proceedings covers the 11th edition of PLACES, which was co-located with ETAPS 2019 in Prague, Czech Republic.