Machine learning and Optimization-guided Compilers for Heterogeneous Architectures (MOCHA)
ArchivedDARPA - 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
- PostedAug 3, 2024
- ClosesOct 10, 2024
- CFDA12.910
Pro insight
Edit and export this grant’s proposal template, plus deadline reminders, similar-grant suggestions, and funder history — all available with Pro.
Unlock with Pro