SMiLE: an integrated, multi-paradigm software infrastructure for SCI-based clusters

  • Authors:
  • Martin Schulz;Jie Tao;Carsten Trinitis;Wolfgang Karl

  • Affiliations:
  • School of Electrical and Computer Engineering, Cornell University, Ithaca, NY;Lehrstuhl für Rechnertechnik und Rechnerorganisation (LRR-TUM), Institut für Informatik der Technischen Universität München, 110, Boltzmannstr. 3, D-85747 Garching bei Mün ...;Lehrstuhl für Rechnertechnik und Rechnerorganisation (LRR-TUM), Institut für Informatik der Technischen Universität München, 110, Boltzmannstr. 3, D-85747 Garching bei Mün ...;Lehrstuhl für Rechnertechnik und Rechnerorganisation (LRR-TUM), Institut für Informatik der Technischen Universität München, 110, Boltzmannstr. 3, D-85747 Garching bei Mün ...

  • Venue:
  • Future Generation Computer Systems - Selected papers from CCGRID 2002
  • Year:
  • 2003

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Abstract

The availability of a comprehensive software infrastructure is essential for the success of a parallel architecture. In order to allow for the greatest possible flexibility, an infrastructure has to be designed in an integrated, easy-to-use manner and with the support of multiple parallel programming paradigms and models to address a wide code base. Shared Memory in a LAN-like Environment (SMiLE) provides such an infrastructure for SCI (Scalable Coherent Interface) based clusters. It includes support for a large range of message passing libraries as well as for almost arbitrary shared memory programming models. In addition, SMiLE contains initial work on an appropriate tool set for performance optimization. The complete infrastructure is closely optimized for the underlying hardware and therefore offers its benefits to the user without significant overheads.