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Scalable Parallel Computing Laboratory

High-performance computing for clusters and clouds

Programming languagesInfrastructure and cloud
GitHubWebsite
2Years in GSoC
2023–24
6Total projects
2–4Projects per year, usually 3
4Projects in 2024

About

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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Technologies

PythonC++HPC

Recent projects

  1. 2024SeBS: Expanded Benchmarks, New Invocation Methods, Workflows & Container IntegrationGSoC page
  2. 2024[DaCe-Debug] Retaining Semantic Source Information in Dataflow RepresentationsGSoC page
  3. 2024Using serverless ZooKeeper in Apache projectsGSoC page
  4. 2024New serverless benchmarksGSoC page
  5. 2023[Mpi4py in DaCe] Add support for Mpi4py in DaCeGSoC page
  6. 2023Libfabric Implementation of rFaaSGSoC page

Links & contact

SourceGSoCIdeas listGuideChatTwitter

BSD-3-Clause license