Search Results for "parallel language"
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Showing 5 open source projects for "parallel language"
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Intermediate Language Distributed Just-In-Time (ILDJIT) is a unified compilation framework for CIL bytecode. It is a parallel and easily extensible framework thanks to its internal structure composed by plugins.
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PARUS
Dataflow parallel programming language for clusters
PARUS is a data-flow parallel programming language that allows to build parallel programs for clusters and MPP multiprocessors. The data-flow graph is automatically converted to the C++/MPI source and linked with the libparus runtime library. Also there are available tools for benchmarking cluster interconnect and visualize it. -
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Sisal is a unique parallel language that supports a clean, fully implicit parallelization model. The optimizing sisal compiler (sisalc) works on top of pthreads to give high performance on commodity SMP architectures.
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AWK~plus is the next generation script practice environment. The AWK Language specifications and a main extension of GNU GAWK. Combination of Dynamic and Static typing. Parallel computing that a lock is free, and is thread safe at a language level.
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EHS Software and Management SystemERA Environmental Software Solutions develops web-based EHS management software for small, medium, and large manufacturers needing to comply with federal, provincial, and state regulations, monitor their air, water, and waste emissions and other environmental outputs, author and manage Safety Data Sheets (SDS) in more than 40 languages, or standardize their Health and Safety procedures for incident and inspection tracking, training delivery, and audit management. The platform also supports comprehensive reporting for programs like TRI, Tier II, Title V, NEI, and NPRI. Companies across the automotive, aerospace, general manufacturing, and paints and coatings industries, to name a few, rely on ERA’s all-in-one, SOC 2 Type II certified SaaS for complete coverage of their EHS needs.
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DKU is an embedded parallel language, or "piggy-back" language that uses function calls to invoke the language's execution model. It tunes task-size to the hardware while hiding hardware details for high performance portability of parallel code.
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