StarPU: A Unified Runtime System for Heterogeneous Multicore Architectures

StarPU is a task programming library for hybrid architectures

• The application provides algorithms and constraints
  • CPU/GPU implementations of tasks
  • A graph of tasks, using either StarPU’s rich C/C++/Fortran/Python API, or OpenMP pragmas.
• StarPU internally deals with the following aspects:
  • Task dependencies
  • Optimized heterogeneous scheduling
  • Optimized data transfers and replication between main memory and discrete memories
  • Optimized cluster communications

Rather than handling low-level issues, programmers can concentrate on algorithmic aspects!

A video recording (26’) of presentation at the XDC2014 conference gives an overview of StarPU (slides)

• The latest tutorial material for StarPU is composed of two parts:
  • General presentation
  • The tutorial itself
  • A recording is also available
• A set of slides is also available to get an overview of StarPU.

The main development repository with issues and merge request is hosted on Inria’s GitLab, but a GitHub mirror is also available.

 Download page

 Source code on GitLab  GitHub mirror