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Genetic Programming Classifier is a distributed evolutionary data classification program. It uses the ensemble method implemented under a parallel co-evolutionary Genetic Programming technique.
Dataflow parallel programming language for clusters
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
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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.
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.
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.
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.
SLLB is a linux implementation of a software load balancing written in C on GNU/Linux.
Problems:
- ethernet hardware device compatibilities
- deep kernel network programming
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
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.
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.