[ Facebook Research - AI System Hardware/Software Co-Design request for proposals | Research Funding ]
Event details
| Date | 15.04.2020 |
| Category | Call for proposal |
Aim: Facebook is pleased to invite university faculty to respond to the new call for research proposals on AI System Hardware/Software Co-Design. Facebook is especially interested in soliciting proposals for the wide range of AI hardware/algorithm co-design research areas, including but not limited to:
Proposals from small collaborative teams, particularly with Principal Investigators bridging areas of systems and machine learning, are encouraged. A total of six awards are available, up to $50,000 each, depending on the specific requirements. Payment will be made to the proposer’s host university as an unrestricted gift.
Funding: max. $50’000
Eligibility: Applicants must be current full-time faculty at an accredited academic institution that awards research degrees to PhD students, and they must be the Principal Investigator on any resulting award. Awards must comply with applicable U.S. and international laws, regulations, and policies.
How to Apply: Proposals should include a summary of the project (1-2 pages), a draft budget description (1 page), CVs of all involved researchers, and administrative information about the institution. For any assistance on the organizational details or tax information, please contact the Research Office. Budgets should be formulated to include 5% overhead (the maximum allowed in the program guidelines).
Deadline: 15 April 2020 (5:00 pm AOE)
Further information
- Recommendation models
- Compression, quantization, pruning techniques
- Graph-based systems with implications on hardware (graph learning)
- Hardware/software co-design for deep learning
- Energy-efficient hardware architectures
- Hardware efficiency-aware neural architecture search
- Mixed-precision linear algebra and tensor-based frameworks
- Distributed training
- Software frameworks for efficient use of programmable hardware
- Scalable communication-aware and data movement-aware algorithms
- High-performance and fault-tolerant communication middleware
- High-performance fabric topology and network transport for distributed training
- Performance, programmability, and efficiency at data center scale
- Machine learning-driven data access optimization (e.g., prefetching and caching)
- Enabling large model deployment through intelligent memory and storage
- Training un/self/semi-supervised models on large scale video data sets
Proposals from small collaborative teams, particularly with Principal Investigators bridging areas of systems and machine learning, are encouraged. A total of six awards are available, up to $50,000 each, depending on the specific requirements. Payment will be made to the proposer’s host university as an unrestricted gift.
Funding: max. $50’000
Eligibility: Applicants must be current full-time faculty at an accredited academic institution that awards research degrees to PhD students, and they must be the Principal Investigator on any resulting award. Awards must comply with applicable U.S. and international laws, regulations, and policies.
How to Apply: Proposals should include a summary of the project (1-2 pages), a draft budget description (1 page), CVs of all involved researchers, and administrative information about the institution. For any assistance on the organizational details or tax information, please contact the Research Office. Budgets should be formulated to include 5% overhead (the maximum allowed in the program guidelines).
Deadline: 15 April 2020 (5:00 pm AOE)
Further information
- Winners will be invited to the annual AI Systems Faculty Summit held in Fall 2020 (Menlo Park). Facebook will pay for the winners’ travel and accommodations (one representative per winning proposal) to attend and present during the summit.
- More details on the call can be found on the RFP website.
- For any other questions, contact the Research Office.
Practical information
- General public
- Free