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

Applications Due: Closed
Federal
U.S. Department of Defense (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.

Eligibility

States
All
Regions
All
Eligible Entities
Exclusive - see details

Funding

Program Funding
Award Ceiling
Award Floor
Award Count

Timing

Posted Date
August 05, 2024
App Status
No Longer Accepting Applications
Pre-app Deadline
August 22, 2024
Application Deadline
October 10, 2024

Funder

Funding Source
Source Type
Federal
Contact Name
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