Showing 13 open source projects for "parallel computing"

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  • 1
    FreeRDP

    FreeRDP

    FreeRDP is a free remote desktop protocol library and clients

    FreeRDP is a free implementation of the Remote Desktop Protocol (RDP), released under the Apache license. Enjoy the freedom of using your software wherever you want, the way you want it, in a world where interoperability can finally liberate your computing experience. The nightly builds are installed into /opt/freerdp-nightly and can be installed in parallel with the distributions regular freerdp package. Network tracing of RDP can be quite a challenge due to a number of factors such as encryption, compression, and the fact that these protocol features cannot always be disabled or worked around. ...
    Downloads: 93 This Week
    Last Update:
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  • 2
    mapgraph

    mapgraph

    Massively Parallel Graph processing on GPUs -- now part of Blazegraph

    Mapgraph is SYSTAP’s disruptive new technology to exploit the main memory bandwidth advantages of GPUs. The early work was co-developed with the University of Utah SCI Institute and has its pedigree in the UINTAH software running on over 750M cores on the TITAN Super Computer. Today, SYSTAP has commercialized this technology into it’s Blazegraph Accelerator and Blazegraph HPC products. Checkout our options for GPU acceleration of graphs or contact us to learn more: ...
    Downloads: 0 This Week
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  • 3
    RT-BOINC
    RT-BOINC stands for a Real-Time BOINC. It was designed for managing highly-interactive, short-term, and massively-parallel real-time applications. We implemented RT-BOINC on top of the recent BOINC server source codes.
    Downloads: 0 This Week
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  • 4
    BSPonMPI is an implementation of the BSPlib standard on top of MPI. Both MPI and BSPlib are API's of communication routines meant for parallel computing, but BSPlib is easier to learn and its performance easier to predict.
    Downloads: 0 This Week
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  • 5
    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.
    Downloads: 0 This Week
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  • 6
    Pydusa is a package for parallel programming using Python. It contains a module for doing MPI programming in Python. We have added parallel solver packages such as Parallel SuperLU for solving sparse linear systems.
    Downloads: 0 This Week
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  • 7
    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.
    Downloads: 0 This Week
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  • 8
    This project aims to create a method able to determine the most frequent word phrases in a large source of text data (>5 Gb) using the computational power of multiple processors.
    Downloads: 0 This Week
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  • 9
    ClusterIt is a collection of clustering tools to allow simple administration of groups of UNIX machines. It can also be used to facilitate parallel shell scripting, and compiling.
    Downloads: 6 This Week
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  • 10
    This project aims to modify Parallel Virtual Machine (PVM) to use benefits of RDMA-capable network interconnects, commonly used in HPC clusters.
    Downloads: 0 This Week
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  • 11
    Maui Scheduler is an advanced reservation HPC parallel batch scheduler for use with Linux and BSD clusters. Maui provides a complete scientific scheduling solution, supporting running custom parallel and MPI jobs over Myrinet and ethernet.
    Downloads: 1 This Week
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  • 12
    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
    Downloads: 0 This Week
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  • 13
    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.
    Downloads: 0 This Week
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