Showing 3 open source projects for "hpc"

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    libfabric

    libfabric

    AWS Libfabric

    ...Its custom-built operating system (OS) bypass hardware interface enhances the performance of inter-instance communications, which is critical to scaling these applications. With EFA, High Performance Computing (HPC) applications using the Message Passing Interface (MPI) and Machine Learning (ML) applications using NVIDIA Collective Communications Library (NCCL) can scale to thousands of CPUs or GPUs. As a result, you get the application performance of on-premises HPC clusters with the on-demand elasticity and flexibility of the AWS cloud.
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  • 2
    lockfree

    lockfree

    A collection of lock-free data structures written in standard C++11

    lockfree is a collection of lock-free data structures written in standard C++11 and suitable for all platforms - from deeply embedded to HPC. Lock-free data structures are data structures that are thread and interrupt-safe for concurrent use without having to use mutual exclusion mechanisms. They are most useful for inter-process communication and often scale much better than lock-based structures with the number of operations and threads.
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  • 3
    Thrust

    Thrust

    The C++ parallel algorithms library

    ...It also provides a number of general-purpose facilities similar to those found in the C++ Standard Library. The NVIDIA C++ Standard Library is an open-source project; it is available on GitHub and included in the NVIDIA HPC SDK and CUDA Toolkit. If you have one of those SDKs installed, no additional installation or compiler flags are needed to use libcu++. Thrust is a header-only library; there is no need to build or install the project unless you want to run the Thrust unit tests.
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