Search Results for "data flow diagrams"

...Structural types with support for openness are used both for static typing within a program and for describing service interfaces. Type-safe, declarative processing of JSON, XML, and tabular data with language-integrated queries. Explicit error handling, static types, and concurrency safety, combined with a familiar, readable syntax make programs reliable and maintainable. Easy and efficient concurrency with sequence diagrams and language-managed threads without the complexity of asynchronous functions. Programs have both a textual syntax and an equivalent graphical form based on sequence diagrams.

...With a clean and modern syntax, it offers seamless access to existing C and Objective-C code and frameworks. Swift makes it easy to write software that is incredibly fast and safe by design. It comes packaged with core features like flow control, data structures and functions, with high-level constructs like objects, protocols, closures, and generics. Its many features make it a language that is powerful, yet fun to use. It’s no wonder that Swift has quickly become one of the fastest growing languages in history.

Pipelines is a language and runtime for crafting massively parallel pipelines. Unlike other languages for defining data flow, the Pipeline language requires the implementation of components to be defined separately in the Python scripting language. This allows the details of implementations to be separated from the structure of the pipeline while providing access to thousands of active libraries for machine learning, data analysis, and processing.

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.