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grant HR001124S0035

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

MOCHA aims to create advanced compiler technology that enhances the performance of diverse computing systems. By using data-driven methods, machine learning, and optimization techniques, it seeks to quickly adapt to new hardware with minimal human input, ensuring efficient distribution of computing tasks across various system components.

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 optim…

Funding Source

Agency: DARPA - Information Innovation Office

Dates

Opportunity Released: August 3, 2024
Open for Submission: August 3, 2024
Submission Deadline: October 10, 2024
Application Window Closes: October 10, 2024

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