Machine learning and Optimization-guided Compilers for Heterogeneous Architectures (MOCHA)
Awarded Award Notice Posted
- Solicitation number
- HR001124S0035
- Agency
- Defense Advanced Research Projects Agency Department of Defense
- Awarded
- Set-aside
- No set-aside
Opportunity facts
- Contract number
- HR00112520038
- NAICS code
- Not on record
- PSC
- Not on record
- Points of contact
-
- BAA Coordinator mocha@darpa.mil
- aetowers@stanford.edu
Notice details come from SAM.gov. Updated .
About this opportunity
The Defense Advanced Research Projects Agency (DARPA) has awarded contract HR00112520038 valued at $4,803,089.00 to The Leland Stanford Junior University for the Machine learning and Optimization-guided Compilers for Heterogeneous Architectures (MOCHA) program. The contract, awarded on August 13, 2025, focuses on developing advanced compiler technologies that utilize machine learning and optimization techniques specifically designed for heterogeneous computing architectures. This research initiative represents DARPA's investment in next-generation computing technologies that can efficiently manage and optimize code compilation across diverse hardware platforms. The nearly $4.8 million contract demonstrates the agency's commitment to advancing computational capabilities through innovative compiler design methodologies.
Notice text
Award notice for Contract HR00112520038 (Leland Stanford Junior University)
Machine learning and Optimization-guided Compilers for Heterogeneous Architectures (MOCHA)
Awarded contract HR00112520038 to THE LELAND STANFORD JUNIOR UNIVERSITY for 4803089.00 on 2025-08-13.
Notice history
| Notice | Type | Posted |
|---|---|---|
| Machine learning and Optimization-guided Compilers for Heterogeneous Architectures (MOCHA) | Award Notice | |
| Machine learning and Optimization-guided Compilers for Heterogeneous Architectures (MOCHA) | Award Notice | |
| Machine learning and Optimization-guided Compilers for Heterogeneous Architectures (MOCHA) | Pre-Solicitation |
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