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CAMUS - 2018


Section: New Software and Platforms

APOLLO

Automatic speculative POLyhedral Loop Optimizer

Keyword: Automatic parallelization

Functional Description: APOLLO is dedicated to automatic, dynamic and speculative parallelization of loop nests that cannot be handled efficiently at compile-time. It is composed of a static part consisting of specific passes in the LLVM compiler suite, plus a modified Clang frontend, and a dynamic part consisting of a runtime system. It can apply on-the-fly any kind of polyhedral transformations, including tiling, and can handle nonlinear loops, as while-loops referencing memory through pointers and indirections.

  • Participants: Aravind Sukumaran-Rajam, Juan Manuel Martinez Caamaño, Manuel Selva and Philippe Clauss

  • Contact: Philippe Clauss

  • URL: http://apollo.gforge.inria.fr