Search Results for "distributed shared memory"
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Showing 5 open source projects for "distributed shared memory"
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Simple components for Ada
A software components library
The Simple components for Ada library provides implementations of smart pointers for automatically collected objects (using reference counting), object persistence, unbounded and bounded arrays of smart pointers, generic unbounded arrays of private objects and plain pointers, generic sets, maps, arbitrary precision arithmetic, B-trees, directed graphs, directed weighted graphs, stacks, and storage pools. It also includes table management, string editing, IEEE 754 support, and infix... -
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Ring
Simple and flexible programming language for applications development
The Ring is a practical general-purpose multi-paradigm language. The supported programming paradigms are imperative, procedural, object-oriented, declarative using nested structures, functional, meta programming and natural programming. The language is portable (MS-DOS, Windows, Linux, macOS, Android, WebAssembly, Microcontrollers, etc.) and can be used to create Console, GUI, Web, Games and Mobile applications. The language is designed to be simple, small and flexible. Ring is... -
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Chapel
a Productive Parallel Programming Language
Chapel is an emerging parallel programming language whose design and development are being led by HPE in collaboration with academia, computing labs, and industry. Chapel's goal is to improve the productivity of parallel programmers, from laptops to supercomputers. **Please note that Chapel development has moved to GitHub** -
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RapidDevelop R#
RapidDevelop is an IDE and Compiler for a new programming language!
...Being an extension of C#, you can link, build or compile native C# assemblies or Classes and Libraries so that you can very easily port existing code. The programming language also exists in a managed shared library and can be dropped into any .net project so that you can use the compiler in your own projects, with plans to even provide executing compiled code in memory, effectively creating a RapidLang Scripting Language plugin! -
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A data parallel scientific programming model. Compiles efficiently to different platforms like distributed memory (MPI), shared memory multi-processor (pthreads), Cell BE processor, Nvidia Cuda, SIMD vectorization (SSE, Altivec), and sequential C++ code.
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