Machine learning and Optimization-guided Compilers for Heterogeneous Architectures (MOCHA) Special Notice
Inactive
Contract Opportunity
Notice ID
DARPA-SN-24-78
Department/Ind. Agency
DEPT OF DEFENSE
Sub-tier
DEFENSE ADVANCED RESEARCH PROJECTS AGENCY (DARPA)
Office
DEF ADVANCED RESEARCH PROJECTS AGCY
General Information
- Contract Opportunity Type: Special Notice (Original)
- Original Published Date: Jul 15, 2024 03:01 pm EDT
- Original Response Date: Jul 30, 2024 05:00 pm EDT
- Inactive Policy: Manual
- Original Inactive Date: Aug 16, 2024
- Initiative:
- None
Classification
- Original Set Aside:
- Product Service Code: AC12 - NATIONAL DEFENSE R&D SERVICES; DEPARTMENT OF DEFENSE - MILITARY; APPLIED RESEARCH
- NAICS Code:
- 541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
- Place of Performance:
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.
Attachments/Links
Contact Information
Contracting Office Address
- 675 NORTH RANDOLPH STREET
- ARLINGTON , VA 222032114
- USA
Primary Point of Contact
- BAA Coordinator
- MOCHA@darpa.mil
Secondary Point of Contact
History
- Aug 16, 2024 11:55 pm EDTSpecial Notice (Original)