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This Government Contract opportunity from Department Of Defense was posted on August 14, 2025. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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

Awarded

HR001124S0035Federal

Submission Closed08/13/2025, 12:00:00 PM UTC

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

General Info

Agency

Department Of Defense → Defense Advanced Research Projects Agcy

Contract Value

$4,803,089

NAICS

N/A

Place of Performance

VA

Set-Aside

NONE

Awardee

THE LELAND STANFORD JUNIOR UNIVERSITY Stanford CA 94305 USA

Award Issued Date

08/13/2025, 12:00:00 AM UTC

Documents

8

Abstract_Instructions_and_Template__MOCHA_CT_BK.docx

Associate_Contractor_Agreements__ACA___MOCHA_.docx

DARPA_Standard_Cost_Proposal_Spreadsheet__MOCHA_.xlsx

HR001124S0035-Amendment-01.pdf

HR001124S0035.pdf

Proposal_Instruction_and_Volume_II_Template__Cost___MOCHA_.docx

Proposal_Instructions_and_Volume_I_Template_for_Technical_and_Management__MOCHA_.docx

Proposal_Summary_Slide__MOCHA_.pptx

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Timeline

3 updates

PhaseAwarded

PostedAug 3

Presolicitation

Deadline changedAug 4

Response deadline time changed from 12:00 PM UTC to 1:00 PM UTC on Sep 26, 2024.

Deadline changedSep 16

Response deadline changed from Sep 26, 2024 to Oct 10, 2024.

Deadline changedSep 16

Response deadline time changed from 12:00 PM UTC to 1:00 PM UTC on Oct 10, 2024.

AwardedAug 13

Contract was awarded

Submission Closed

08/13/2025, 12:00:00 PM UTC

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Organization & Contact Information

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AgencyDepartment Of Defense → Defense Advanced Research Projects Agcy

Contacts2 people available

OfficeARLINGTON, VA, 222032114, USA

Organization / AgencyDepartment Of Defense → Defense Advanced Research Projects Agcy

Office AddressARLINGTON, VA, 222032114, USA

Contacts

BAA Coordinator

contact@example.gov

Aetowers

contact@example.gov

Full Description

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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.

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