Fine-Grained Parallelism in Probabilistic Parsing with Habanero Java

Francis-Landau, Matthew; Xue, Bing; Eisner, Jason; Sarkar, Vivek

doi:10.1109/ia3.2016.020

2016 6th Workshop on Irregular Applications: Architecture and Algorithms (IA3) 2016

DOI: 10.1109/ia3.2016.020

|View full text |Cite

Fine-Grained Parallelism in Probabilistic Parsing with Habanero Java

Matthew Francis-Landau¹,

Bing Xue²,

Jason Eisner³

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Reference Capabilities for Flexible Memory Management

Arvidsson,

Castegren,

Clebsch

et al. 2023

Proc. ACM Program. Lang.

View full text Add to dashboard Cite

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.

show abstract

Reference Capabilities for Flexible Memory Management

Arvidsson,

Castegren,

Clebsch

et al. 2023

Proc. ACM Program. Lang.

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Fine-Grained Parallelism in Probabilistic Parsing with Habanero Java

Cited by 1 publication

References 13 publications

Reference Capabilities for Flexible Memory Management

Reference Capabilities for Flexible Memory Management

Contact Info

Product

Resources

About