Facebook: AI Systems 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:

• 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: $50K.

Please contact Research Authority if planning to submit- 5% overhead.

https://research.fb.com/programs/research-awards/proposals/ai-systems-hardware-software-co-design-request-for-proposals/