Search Results for "gnu 8085 programming"
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Showing 16 open source projects for "gnu 8085 programming"
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lixa
LIXA, LIbre XA, is a free and open source XA transaction manager
LIXA (LIbre XA) is an open source and free Transaction Manager implementing the distributed transaction processing "XA specification" and "TX (transaction demarcation) specification" according to the X/Open CAE Specification. LIXA implements even XTA: XA Transaction API, an innovative API that implements XA transactional context passing among different applications. LIXA is a Transaction Manager but it's not a Transaction Monitor: this is the distinguishing feature of the project. LIXA... -
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Distributed MultiThreaded Checkpointing
Checkpoint/Restart functionality for Linux processes
DMTCP (Distributed MultiThreaded Checkpointing) transparently checkpoints a single-host or distributed computation in user-space -- with no modifications to user code or to the O/S. It works on most Linux applications, including Python, Matlab, R, GUI desktops, MPI, etc. It is robust and widely used (on Sourceforge since 2007). For the newest releases of DMTCP, please go to: https://github.com/dmtcp/dmtcp Among the applications supported by DMTCP are MPI (various implementations),... -
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neuranep
Neural Network Engineering Platform
A parallel-programming framework for concurrently running large numbers of small autonomous jobs, or microthreads, across multiple cores in a CPU or CPUs in a cluster. NeuraNEP emulates a distributed processing environment capable of handling millions of microthreads in parallel, for example running neural networks with millions of spiking cells. Microthreads are general processing elements that can also represent non-neural elements, such as cell populations, extracellular space, emulating... -
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Simdist lets you harness the power of cluster computing without any knowledge of parallel libraries such as MPI, and with no restrictions on programming language. Primarily targeted at evolutionary computing and similar master-slave configurations.
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Development library for distributed programming. Spitfire provides an easy to use set of tools for managing processes and their communication. You just need to define the interfaces and behaviour of the processes; everything else is already done :-D
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Python Integrated Parallel Programming EnviRonment (PIPPER), Python pre-parser that is designed to manage a pipeline, written in Python. It enables automated parallelization of loops. Think of it like OpenMP for Python, but it works in a computer cluster
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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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TPO++ is an object-oriented message passing library intended for parallel programming. It is based on the Message Passing Interface (MPI) but allows to transmit objects and data structures of the standard template library.
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Programming libraries for writing an XMLDC (XML Distributed Computing) applications in C++. XMLDC is a XML-based protocol for remote procedure calls (RPC) between different systems. XMLDC is more powerful than XML-RPC and much simpler than SOAP or CORBA.
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Utility classes for sending files over JMS providers like ActiveMQ, use of XDoclet generated code and Hibernate in J2EE projects. In addition code to call EJB SessionBeans from C++. Programming Language: java Libraries: XDoclet, Hibernate
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RobotFlow is a mobile robotics tookit based on FlowDesigner. The visual programming interface provided with FlowDesigner will help people to better visualize & understand what is really happening in the robot's control loops, sensors and actuators.
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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)
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TOP-C is a library for easily writing parallel applications for both distributed and shared memory architectures. It hides the details of parallel programming, and presents the application programmer with a simple task-oriented interface.
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GP@home is a new group/project dedicated to fully utilizing the combined concepts of genetic programming and distributed computing to improve the quality of life for all human beings. Nothing is impossible working together.
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