7 citations · 7 across the 8 of their papers we have counts for
4 papers · 1 filter
Benchmarking Compound AI Applications for Hardware-Software Co-Design
Paramuth Samuthrsindh, Angel Cervantes, Varun Gohil +3
Compound AI applications, composed from interactions between Large Language Models (LLMs), Machine Learning (ML) models, external tools and data sources are quickly becoming an int…
Checkmate: Zero-Overhead Model Checkpointing via Network Gradient Replication
Ankit Bhardwaj, Weiyang Wang, Jeremy Carin +2
This paper presents Checkmate, a system that enables per-iteration checkpointing in DNN training without any training slowdown. The traditional approach to checkpointing requires a…
Towards Resource-Efficient Compound AI Systems
Gohar Irfan Chaudhry, Esha Choukse, Íñigo Goiri +3
Compound AI Systems, integrating multiple interacting components like models, retrievers, and external tools, have emerged as essential for addressing complex AI tasks. However, cu…
Treehouse: A Case For Carbon-Aware Datacenter Software
Thomas Anderson, Adam Belay, Mosharaf Chowdhury +2
The end of Dennard scaling and the slowing of Moore's Law has put the energy use of datacenters on an unsustainable path. Datacenters are already a significant fraction of worldwid…