Search Results for "parallel computing datamaning" - Page 4
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Showing 96 open source projects for "parallel computing datamaning"
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Simulator of massively parallel computer cluster with minimal nodes. Loosely based around available information regarding Chuck Moore's c18/25x core/chip designs. Machine Forth based MISC NOSC nodes, mesh interconnection.
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Netcluster is a framework for writing parallel programs. Its main objective is to utilize the idle time of computers on a LAN by distributing tasks amongst them. The package consists of a daemon running on all volunteering machines, and a library to provi
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MPIRuby is a Ruby version of the MPI supercomputing standard interface. It enables massively parallel and distributed algorithms to be written in a platform-independent manner suitable for large-scale computation-intensive experiments. MPI is the \"Mes
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In many parallel scientific applications the process of grid generation, decomposition, message passing, and performance measurements are of similar stucture. The projects intention is to develop a generic function library that will contain all these.
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RAFT-Net is a Fault Tolerant Parallel Distributed Framework. Using a Master-Worker scheme, the framework transparently distributes workunits to workers (drones). These workers can join and leave and as such, the network is very flexible. A modified
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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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Designed to allow quick setup of powerful NOW-based clusters to run compute-intensive applications. Applications do not have to be designed specially for these clusters to benefit.
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PPAT, or Parallel Path following Algorithm using Triangles, is a reliable parallel tool to trace the level curves of any continuous, not necessarily smooth, function f(z): C → R.
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A parallel Library for C++ that help development of parallel applications that can be transparently distributed over network connected machines with Linux+MOSIX
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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
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Combined Utilities for Beowulf, or "cub," is based on work done at Compaq to integrate some of the best available tools to make it easy to build and install clusters of workstations for parallel computing applications.
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The Herdtools are a set of user-level cluster management and control utilities with a consistent command line interface. These include things like parallel file copy, remote execution, sudo execution, job kill, etc. We utilize Rob Brown's "procstatd" d
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The BCR flavor of Cooperative Data Sharing (CDS) is a scalable, portable, flexible C-based API and daemon for initiating and communicating between processes/threads in uniprocessor and multiprocessor (e.g. distributed, SMP, and parallel) platforms.
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Provide a common portal platform to join Internet Service Providers users into a community, both including personalization using "portlets" as the building blocks of .NET type applications and using a Parallel Portal Engine to overcome such demanding use
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Software package for parallel computing in TCP/IP networks with plugin-determined logic of computation.
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The message passing interface (MPI) standard is a library specification for message passing on parallel computers. This project develops an extension to MPI in C++ such that STL objects can be transfered just as easily as fundamental data types.
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QUAFF is a C++ library for designing and running parallel code onto any MPI aware system by providing an eay to use -- yet efficient -- API based on algorithmic skeletons.
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GAP (Grid Agents Platform) Toolkit for Modeling and Simulation of Mobile Agents in Grid Environments. GAP is an abstraction over GridSim, a Grid Simulation Toolkit for Resource Modelling and Application Scheduling for Parallel and Distributed Computing.
