A high-performance operating system for structured concurrent programs

Bläser, Luc

doi:10.1145/1376789.1376800

Search citation statements

Order By: Relevance

Paper Sections

Select...

Active Language (Al)2

Related Work1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2010

2019

Publication Types

Select...

Other2

Book1

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

(3 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An essential set of the above-mentioned concepts has already been implemented in our component-based, parallel programming language COMPOSITA (Bläser 2006), (Bläser 2007).…”

Section: Active Language (Al)mentioning

confidence: 99%

See 1 more Smart Citation

Resilient computer system design

Castaño

Schagaev

2015

View full text Add to dashboard Cite

“…An essential set of the above-mentioned concepts has already been implemented in our component-based, parallel programming language COMPOSITA (Bläser 2006), (Bläser 2007).…”

Section: Active Language (Al)mentioning

confidence: 99%

“…As the language is based on hierarchical composition and does not employ any ordinary pointers or references, surrounding components properly control the deletion of components and no garbage collection is needed for safe memory management (Bläser 2006(Bläser , 2007.…”

Section: Active Language (Al)mentioning

confidence: 99%

Resilient computer system design

Castaño

Schagaev

2015

View full text Add to dashboard Cite

“…Bläser in [8] reported a component-based language and operating system that supported concurrent and structured computing. In that system, a component encapsulates data and computing, which are defined as services to be produced by one component and consumed by another.…”

Section: Related Workmentioning

confidence: 99%

A Generalized Streaming Model for Concurrent Computing

Wang¹

2010

Preprint

View full text Add to dashboard Cite

Multicore parallel programming has some very difficult problems such as deadlocks during synchronizations and race conditions brought by concurrency. Added to the difficulty is the lack of a simple, wellaccepted computing model for multicore architecturesbecause of that it is hard to develop powerful programming environments and debugging tools. To tackle the challenges, we promote a generalized stream computing model, inspired by previous researches on stream computing, that unifies parallelization strategies for programming language design, compiler design and operating system design. Our model provides a high-level abstraction in designing language constructs to convey concepts of concurrent operations, in organizing a program's runtime layout for parallel execution, and in scheduling concurrent instruction blocks through runtime and/or operating systems. In this paper, we give a high-level description of the proposed model: we define the foundation of the model, show its simplicity through algebraic/computational operation analysis, illustrate a programming framework enabled by the model, and demonstrate its potential through powerful design options for programming languages, compilers and operating systems.

show abstract