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SPCL · GitHub

SPCL

README.md

Scalable Parallel Computing Laboratory (SPCL) perform research in all areas of scalable computing. The research areas include scalable high-performance networks and protocols, middleware, operating system and runtime systems, parallel programming languages, cloud computing and serverless, support, and constructs, storage, and scalable data access.

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  1. serverless-benchmarks serverless-benchmarks Public

    SeBS: serverless benchmarking suite for automatic performance analysis of FaaS platforms.

    Python 197 104

  2. dace dace Public

    DaCe - Data Centric Parallel Programming

    Python 591 160

  3. rFaaS rFaaS Public

    rFaaS: a high-performance FaaS platform with RDMA acceleration for low-latency invocations.

    C++ 59 19

  4. faaskeeper faaskeeper Public

    A fully serverless implementation of the ZooKeeper coordination protocol.

    Python 24 14

  5. fmi fmi Public

    Function Message Interface (FMI): library for message-passing and collective communication for serverless functions.

    C++ 22 13

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