Concurrent Collections
Concurrent Collections (known as CnC) is a programming model for software frameworks to expose parallelism in applications. The Concurrent Collections concepts originated from stream processing development with HP TStreams.
TStreams
Around 2004, Hewlett-Packard Cambridge Research Lab developed TStreams, a stream processing forerunner of the basic concepts of CnC.[1][2][3]
Concurrent Collections for C++
Concurrent Collections for C++ is an open source C++ template library developed by Intel for implementing parallel CnC applications in C++ with shared and/or distributed memory.
Habanero CnC
Rice University has developed various CnC language implementations based on their Habanero project infrastructure.
See also
- Stream processing
- Flow-based programming (FBP)
- Tuple space
- Functional reactive programming (FRP)
- Linda (coordination language)
- Threading Building Blocks (TBB)
- Cilk/Cilk Plus
- Intel Parallel Studio
Notes
- ^ TStreams: How to Write a Parallel Program (Technical report).
- ^ TStreams: A Model of Parallel Computation (Technical report).
- ^ Compiling to TStreams, a New Model of Parallel Computation (Technical report).
References
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External links
- Intel Concurrent Collections for C++ for Windows and Linux at Intel DZ, a "What If" project
- CNC - Habanero Concurrent Collections as part of the Rice University Habanero project