Search Results for "dataflow"

XGBoost is an optimized distributed gradient boosting library, designed to be scalable, flexible, portable and highly efficient. It supports regression, classification, ranking and user defined objectives, and runs on all major operating systems and cloud platforms. XGBoost works by implementing machine learning algorithms under the Gradient Boosting framework. It also offers parallel tree boosting (GBDT, GBRT or GBM) that can quickly and accurately solve many data science problems....

...The platform can be easily deployed on multiple CPUs, GPUs and Google's proprietary chip, the tensor processing unit (TPU). TensorFlow expresses its computations as dataflow graphs, with each node in the graph representing an operation. Nodes take tensors—multidimensional arrays—as input and produce tensors as output. The framework allows for these algorithms to be run in C++ for better performance, while the multiple levels of APIs let the user determine how high or low they wish the level of abstraction to be in the models produced. ...

...The BMDFM dynamic scheduling subsystem performs a symmetric multiprocessing (SMP) emulation of a tagged-token dataflow machine to provide the transparent dataflow semantics for the applications. No directives for parallel execution are needed. More info: http://www.bmdfm.com

Webite: http://flowbasedprogramming.com DSPatch, pronounced "dispatch", is a powerful C++ dataflow framework. DSPatch is not limited to any particular domain or data type, from reactive programming to stream processing, DSPatch's generic, object-oriented API allows you to create virtually any dataflow system imaginable. *See also:* DSPatcher ( https://github.com/MarcusTomlinson/DSPatcher ): A cross-platform graphical tool for building DSPatch circuits.

... * DSPatcher - A graphical tool based on QtPatcher for building DSPatch circuits. *See also:* DSPatch ( https://github.com/MarcusTomlinson/DSPatch ): A powerful C++ dataflow framework. DSPatchables ( https://github.com/MarcusTomlinson/DSPatchables ): A DSPatch component repository.

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.

Route11 is a powerful C++ flow-based metaprogramming library that allows you to create and route complex dataflow systems at compile-time. Route11 uses Template Metaprogramming to construct complex "process systems" defined by static relationships between "process primitives". A process primitive is a generic host class that inherits a "process policy". The process policy defines the specific behavior of a process primitive. The general term: "process" can refer to either one of these abstractions (I.e. "2 processes connected in series" may refer to 2 primitives, 2 systems, or one of each) NOTE: Route11 was written using many new C++11 features, so it is required that a C++11 compatible compiler (e.g Clang or GCC) is used when building this project.

QFlow is a dataflow framework written in Qt which allows interaction of QObjects in a dataflow graphs. Such a workflow can contain graphical modules(QWidgets) which would be displayed during the execution of graph and can interact with other QObjects. Framework consists of Designer and multiple plugins with modules.

The Squidy Interaction Library eases the design of "post-WIMP" user interfaces by unifying various device drivers, frameworks and tracking toolkits in a common library and provides a central and easy-to-use visual design environment. www.squidy-lib.de

Exegraph is a visual, object-oriented, dataflow-driven programming language environment for the Windows and Macintosh platforms.

A set of tools for defining, implementing and steering a dataflow/workflow process on top of a set of CORBA OO components.