Search Results for "distributed computing"

...Special decorators can create universal functions that broadcast over NumPy arrays just like NumPy functions do. Numba also works great with Jupyter notebooks for interactive computing, and with distributed execution frameworks, like Dask and Spark.

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**

xSTreamC is a streaming language developed by STMicroelectronics to support the mapping of data intensive streaming applications on distributed multiprocessor SoCs. A compiler and a simulation library are provided.

FpgaC compiles a subset of the C language to net lists which can be imported into an FPGA vendors tool chains. C provides an excellent alternative to VHDL/Verilog for algorithmic expression of FPGA reconfigurable computing tasks. More info in wiki.

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.

LIME (Less-is-More) is parallel/concurrent programming environment based on C. Internally, it uses XML technology to describe tasks and their dependencies. Externally, it offers the ANSI C99 programming as well as a set of visually-oriented interfaces.

The CodeTime platform covers every aspect of parallel software from authoring, through distribution, to run-time. Its goals are: high programmer productivity; write once, run high performance anywhere; and wide acceptance.

An architecture description language (DiaSpec) supports the description of components of a given distributed computing area. From these descriptions, DiaGen generates a dedicated programming framework to support distributed application development.

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.

‘intelliworm’ is a prototype simulation of a Intelligent Species of a common earth worm,which inherits human like decision making capabilities through Neural Network intelligence representation,all developed by integrating .NET with Lisp and Yacc.

The CommGen platform is intended to be a simple, scalable integration platform for small to medium problem sets. The architecture is simple, consisting of a distributed kernel, distributed O/S, agent and application layer.

axdistcc is a small liveCD with the distcc, it makes possible an easy creation of a compilation farm. It uses as base system the Slackware Linux 11.0 and a modified linux-live scripts.

This is the Emerald Distributed Programming Language. It's an object-oriented programming language meant for distribution, featuring light-weight object migration. This project provides the programming language itself aswell as a plugin for Eclipse.

The XPS is a scalable platform for meta-programming and domain engineering. It provides a virtual machine, compiler, and runtime library that make it possible to efficiently develop, debug, and run programs based on XPL (eXtensible Programming Language)

CORBA for PHP is a PHP Extension to use CORBA objects in PHP5(Zend Engine 2). It uses MICO as its ORB and will also provide an Idl-to-PHP language mapping specification and compiler. For a PHP4 CORBA support look at the great Universe-phpext.

This project is an attempt to design strongly typed langauge like C# or Java using capability security model. This is an reseach project. This project is also a temporary home for async-objects projects which is prototype of classes for asynchronous inte

Chor is a strongly-typed choreography programming language for distributed systems. In Chor, the behaviour of a system is written down as a global program (a choreography) where all the message exchanges between the participants are explicit. Choreographies are statically checked against protocol specifications, given as types, enabling type-directed global programming. Finally, Chor supports the automatic generation of systems from a choreography. With Chor, you do not have to worry about...