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    Country
    Opportunity Status
    Funding Instrument Type
    Category
    Clear

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

    HR001124S0035

    DARPA - Information Innovation Office

    Opening date 3 Aug 2024, 12:00AM

    Closing date 26 Sep 2024, 12:00AM

    Funding Opportunity Number: HR001124S0035

    Opportunity Category: Discretionary

    CFDA Number(s): 12.910 -- Research and Technology Development

    Cost Sharing or Matching Requirement: No

    Posted Date: Aug 03, 2024 12:00:00 AM EDT

    Closing Date: Sep 26, 2024 12:00:00 AM EDT

    Closing Date Details: See Full Announcement for details.

    Award Ceiling: none

    Award Floor: none

    Eligible Applicants: Others (see text field entitled "Additional Information on Eligibility" for clarification)

    Additional Information on Eligibility: All responsible sources capable of satisfying the Government's needs may submit a proposal that shall be considered by DARPA. See the Eligibility Information section of the BAA for more information.

    Agency Name: 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.

    Grantor Contact Information: BAA Coordinator MOCHA@darpa.mil

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