Machine learning and Optimization-guided Compilers for Heterogeneous Architectures (MOCHA)

Archived

DARPA - Information Innovation Office

Description

Machine Learning and Optimization-Guided Compilers for Heterogeneous Architectures (MOCHA) seeks to build a new generation of compiler technology to realize the full potential performance of heterogenous architectures. MOCHA will develop data-driven methods, Machine Learning, and advanced optimization techniques to rapidly adapt to new hardware components with little human effort and facilitate optimal allocation of computation to heterogeneous components.

Who can apply

  • Others

Contact

BAA Coordinator<br/>MOCHA@darpa.mil
MOCHA@darpa.mil

Key dates & funding
  • PostedAug 3, 2024
  • ClosesOct 10, 2024
  • CFDA12.910

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