Autotuning for Exascale: Self-Tuning Software to Manage Heterogeneity
Figure: X-TUNE End-to-End Autotuning System
We will develop the first unified autotuning framework that seamlessly integrates programmer-directed and compiler-directed autotuning, so that a programmer and the compiler system can work collaboratively to tune a code, unlike previous systems that place the entire tuning burden on either programmer or compiler. The proposed system will dramatically improve generality and usability of autotuning technology through an integrated, composable collection of tools, including an autotuning compiler framework, language extensions, a code transformation framework, compiler decision algorithms and performance models. To maximize productivity impact of autotuning and make it approachable by many users, it should be encapsulated in domain-specific tools developed by expert users and made available to others. To this end, we will demonstrate autotuning on computations from AMR MG, Combustion Co-Design Center, TCE and Nek5000, and will work with DOE to define a small number of other mini-app demonstrations. We will identify opportunities for integration, software reuse and demonstrations with other X-stack projects.
- University of Utah:
- University of Southern California:
- Argonne National Laboratory:
- Lawrence Berkeley National Laboratory: