AI Systems Hardware/Software Co-Design request for proposals

Facebook is pleased to invite proposals to the new call for research proposals on AI System Hardware/Software Co-Design.

Specific areas of interest include a  wide range of AI hardware/algorithm co-design topics, including but not limited to:

• 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

Funding: $50,000

Duration: no fixed limit 

Research Authority due date: 5.4.20