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ALPI: Enhancing Portability and Interoperability of Task-Aware Libraries

  • Kevin Sala,
  • David Álvarez,
  • Raúl Peñacoba,
  • Rodrigo Arias Mallo,
  • Antoni Navarro,
  • Aleix Roca,
  • Vicenç Beltran

摘要

Task-based programming models are a promising approach to exploiting complex distributed and heterogeneous systems. However, integrating different communication, offloading, and storage APIs within tasks poses performance and deadlock risks. Several Task-Aware libraries, such as TAMPI, TASIO, and TACUDA, have been developed to integrate blocking and non-blocking APIs within task-based programming models efficiently. In this paper, we introduce the Asynchronous Low-level Programming Interface (ALPI) to enable the interoperability and portability of Task-Aware libraries across various programming models and runtime systems. We have implemented ALPI in the Nanos6 and nOS-V runtimes, enhancing the integration of Task-Aware libraries with the OmpSs-2 and OpenMP programming models. This work is a step towards improving the composability of parallel programming models by supporting Task-Aware libraries across different runtime systems.