Search Results for "linux programming"

dispy is a generic and comprehensive, yet easy to use framework for creating and using compute clusters to execute computations in parallel across multiple processors in a single machine (SMP), among many machines in a cluster, grid or cloud. dispy is well suited for data parallel (SIMD) paradigm where a computation (Python function or standalone program) is evaluated with different (large) datasets independently. dispy supports public / private / hybrid cloud computing, fog / edge computing.

asyncoro is a Python framework for developing concurrent, distributed, network programs with asynchronous completions and coroutines. Asynchronous completions implemented in asyncoro are sockets (non-blocking sockets), database cursors, sleep timers and locking primitives. Programs developed with asyncoro have same logic and structure as Python programs with threads, except for a few syntactic changes. asyncoro supports socket I/O notification mechanisms epoll, kqueue, /dev/poll (and poll...

Genetic Programming Classifier is a distributed evolutionary data classification program. It uses the ensemble method implemented under a parallel co-evolutionary Genetic Programming technique.

The Open Design and Integration Environment is a toolbox of C and TCL code designed to introduce people to programming in a friendly way. It is also designed to be robust enough to novices to develop useful applications.

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.

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.

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

OSCAR (Open Source Cluster Application Resources) is a snapshot of the best known methods for building, programming, and using clusters. It consists of a fully integrated and easy to install software bundle designed for high performance cluster computing

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.

NGrid is a transparent C# .Net/mono grid computing model. NGrid abstracts the burden of the grid into a simple multithread and garbage collected programming model. NGrid is designed to carry computationally intensive tasks over multiple machines.

Direct Access Programming Library (DAPL) is a high performance Remote Direct Memory Access API (see www.datcollaborative.org). Linux & Windows uDAPL maintenance/development is now discussed on general@lists.openfabrics.org & ofw@lists.openfabrics.org.

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.

This Project implements the mergesort algorithm in a MPICH2 (parallel programming -) environment.

Valkyries is a parallel programming project designed for and developed on a Beowulf cluster to crack several UNIX systems' passwords by brute-force. Currently implemented system cracks only numerical passwords but it's being developed.

libcsp is C a library makes programming with threads much easier. By providing an easy mechanism to express and reason about programs with multiple threads, it becomes easier to fit software into the real world.

MPY is an MPI implementation for Python using MPICH (or any other MPI implementation). MPY also provides helper functions for ease of programming, and a simple plug-in interface.

This project is setup to maintain a set of Javaparty codes. This includes Javaparty benchmarks and applications. Javaparty (http://www.ipd.uka.de/JavaParty/) is a Java extension for easy and efficient parallel programming. It does so by extending the

Utilize Java to create an application capable of massivly parallel operations. Application will be targeted as a Napster Clone, with the additional capability of downloading projects which are seeking computer time.

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.

WebOS is an application framework built with Jini services exposed as JMX Managed Beans (MBeans for short). It provides ease of configuration, ease of administration, ease of programming and improved performances.

MassiveJava is a Java-based environment for parallel programming. Lithium is able to execute the parallel application using a cluster or a network of workstations. A user is able to program a parallel application without take in account problem like sche

This library provides an easy way to program the widely used parallel programming library PVM, which works in homogenous and heterogenous network environments.