Overview of the Project

Aim: Enable a radical improvement in the performance and scalability of a wide range of real-world applications relying on linear algebra software for future extreme-scale systems.

  • Development of novel architecture-aware algorithms that expose
    as much parallelism as possible, exploit heterogeneity, avoid
    communication bottlenecks, respond to escalating fault rates, and help meet emerging power constraints
  • Exploration of advanced scheduling strategies and runtime
    systems focusing on the extreme scale and strong scalability in
    multi/many-core and hybrid environments
  • Design and evaluation of novel strategies and software support for both offline and online auto-tuning
  • Results will appear in the open source NLAFET software library

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