Reference Capabilities for Flexible Memory Management

Author:

Arvidsson Ellen1ORCID,Castegren Elias1ORCID,Clebsch Sylvan2ORCID,Drossopoulou Sophia3ORCID,Noble James4ORCID,Parkinson Matthew J.5ORCID,Wrigstad Tobias1ORCID

Affiliation:

1. Uppsala University, Uppsala, Sweden

2. Azure Research, Microsoft, Austin, USA

3. Imperial College London, London, United Kingdom

4. Creative Research & Programming, Wellington, New Zealand

5. Azure Research, Microsoft, Cambridge, UK

Abstract

Verona is a concurrent object-oriented programming language that organises all the objects in a program into a forest of isolated regions. Memory is managed locally for each region, so programmers can control a program's memory use by adjusting objects' partition into regions, and by setting each region's memory management strategy. A thread can only mutate (allocate, deallocate) objects within one active region---its "window of mutability". Memory management costs are localised to the active region, ensuring overheads can be predicted and controlled. Moving the mutability window between regions is explicit, so code can be executed wherever it is required, yet programs remain in control of memory use. An ownership type system based on reference capabilities enforces region isolation, controlling aliasing within and between regions, yet supporting objects moving between regions and threads. Data accesses never need expensive atomic operations, and are always thread-safe.

Funder

Swedish Research Council

The Royal Society of New Zealand Te Aparangi Marsden Fund Te Putea Rangahau a Marsden

Publisher

Association for Computing Machinery (ACM)

Subject

Safety, Risk, Reliability and Quality,Software

Reference94 articles.

1. Learning Rust: How Experienced Programmers Leverage Resources to Learn a New Programming Language

2. Ownership Domains: Separating Aliasing Policy from Mechanism

3. A history of Erlang

4. Ellen Arvidsson Elias Castegren Sylvan Clebsch Sophia Drossopoulou James Noble Matthew J. Parkinson and Tobias Wrigstad. 2023. Reference Capabilities for Flexible Memory Management: Extended Version. arXiv:2309.02983 [cs.PL] 10 https://doi.org/10.48550/arXiv.2309.02983 10.48550/arXiv.2309.02983

5. Ellen Arvidsson Elias Castegren Sylvan Clebsch Sophia Drossopoulou James Noble Matthew J. Parkinson and Tobias Wrigstad. 2023. Reference Capabilities for Flexible Memory Management: Extended Version. arXiv:2309.02983 [cs.PL] 10 https://doi.org/10.48550/arXiv.2309.02983

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