Static scheduling of synchronous data flow programs for digital signal processing
IEEE Transactions on Computers
LUSTRE: a declarative language for real-time programming
POPL '87 Proceedings of the 14th ACM SIGACT-SIGPLAN symposium on Principles of programming languages
The CCITT-specification and description language SDL
Computer Networks and ISDN Systems
The ESTEREL synchronous programming language: design, semantics, implementation
Science of Computer Programming
Pthreads programming
Introduction to the GiNaC framework for symbolic computation within the C++ programming language
Journal of Symbolic Computation
StreamIt: A Language for Streaming Applications
CC '02 Proceedings of the 11th International Conference on Compiler Construction
Phased scheduling of stream programs
Proceedings of the 2003 ACM SIGPLAN conference on Language, compiler, and tool for embedded systems
IEEE Micro
Intel threading building blocks
Intel threading building blocks
Programming the Cell Broadband Engine Architecture: Examples and Best Practices
Programming the Cell Broadband Engine Architecture: Examples and Best Practices
Language and compiler support for stream programs
Language and compiler support for stream programs
The Art of Multiprocessor Programming
The Art of Multiprocessor Programming
Principles of Parallel Programming
Principles of Parallel Programming
Computer Systems: A Programmer's Perspective
Computer Systems: A Programmer's Perspective
Weir: a streaming language for performance analysis
Proceedings of the Seventh Workshop on Programming Languages and Operating Systems
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Because multicore CPUs have become the standard with all major hardware manufacturers, it becomes increasingly important for programming languages to provide programming abstractions that can be mapped effectively onto parallel architectures. Stream processing is a programming paradigm where computations are expressed as independent actors that communicate via data streams. The coarse-grained parallelism exposed in stream programs facilitates such an efficient mapping of actors onto the underlying hardware. In this paper we propose a type-based stream programming extension to Ada 2005. AdaStreams is a type-hierarchy for actor-specification together with a run-time system that supports the execution of stream programs on multicore architectures. AdaStreams is non-intrusive in the sense that no change of an Ada 2005 programming language implementation is required. Legacy-code can be mixed with a stream-parallel application, and the use of sequential legacy code with actors is supported. Unlike previous approaches, AdaStreams allows creation and subsequent execution of stream programs at run-time. We have implemented AdaStreams for Intel multicore architectures. We provide initial experimental results that show the effectiveness of our approach on an Intel X86-64 quadcore processor. The initial release of our work is available for download at [1].