Quiver: An Informed Storage Cache for Deep Learning. - Abhishek Vijaya Kumar; Muthian Sivathanu (FAST, 2020)

A case for server-scale photonic connectivity. - Abhishek Vijaya Kumar; Arjun Devraj; Darius Bunandar; Rachee Singh (HotNets, 2024)

CHISEL: An optical slice of the wide-area network. - Abhishek Vijaya Kumar; Bill Owens; Nikolaj S. Bjørner; Binbin Guan; Yawei Yin; Paramvir Bahl; Rachee Singh (NSDI, 2024)

Responsive ML inference in multi-tenanted environments using AQUA. - Abhishek Vijaya Kumar; Gianni Antichi; Rachee Singh (CoRR, 2024)

Aqua: Network-Accelerated Memory Offloading for LLMs in Scale-Up GPU Domains. - Abhishek Vijaya Kumar; Gianni Antichi; Rachee Singh (ASPLOS (2), 2025)

Chip-to-chip photonic connectivity in multi-accelerator servers for ML. - Abhishek Vijaya Kumar; Arjun Devraj; Darius Bunandar; Rachee Singh (OFC, 2025)

LUMION: Fast Fault Recovery for ML Jobs Using Programmable Optical Fabrics. - Abhishek Vijaya Kumar; Eric Ding 002; Arjun Devraj; Darius Bunandar; Rachee Singh (CoRR, 2025)

Accelerating AllReduce with a Persistent Straggler. - Arjun Devraj; Eric Ding 002; Abhishek Vijaya Kumar; Robert Kleinberg; Rachee Singh (CoRR, 2025)

Morphlux: Programmable chip-to-chip photonic fabrics in multi-accelerator servers for ML. - Abhishek Vijaya Kumar; Eric Ding 002; Arjun Devraj; Rachee Singh (CoRR, 2025)