Abstract
PARCS (Parallel Asynchronous Recursive Control System) programming tools that allow unified add-on parallel extensions over traditional programming languages are described. The PARCS model is based on the conception of a control space, which is used to describe parallel interacting processes. Structurally, the control space consists of addressable “points” and “channels”. Executing modules are assigned to points and communicate through channels connecting points. Recursive embeddings of processes are allowed. The effective implementation of PARCS on cloud platforms Microsoft AZURE and Amazon EC2 is also presented.
Highlights
Traditional sequential programming languages, operating systems, and computer architectures are mainly conformed to each other
For the same task an algorithm could be effective in one parallel environment and completely inefficient in another one
We propose PARCS (Parallel Asynchronous Recursive Control System) as a universal add-on extension to the base programming languages
Summary
Traditional sequential programming languages, operating systems, and computer architectures are mainly conformed to each other. The terms “parallel” and “concurrent” are increasingly used in relation to architecture of computing systems, operating systems, algorithms, programming languages, data structures, and databases. Against this background, the development of descriptive tools well-suited for logical level of algorithmic concurrency is of great importance. The first one is to build-in basic parallel programming features like in languages C++, Java, C#, Python. The second approach relates to constructing special addons over standard procedural languages: MPI, OpenMP, Cuda, OpenCL, JavaCL. The first one is to build-in basic parallel programming features into a base language like in languages C++, Java, C#, Python. We propose PARCS (Parallel Asynchronous Recursive Control System) as a universal add-on extension to the base programming languages
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