Rand-NSG: Fast Accurate Billion-point Nearest Neighbor Search on a Single Node. - Suhas Jayaram Subramanya; Devvrit; Harsha Vardhan Simhadri; Ravishankar Krishnaswamy; Rohan Kadekodi (NeurIPS, 2019)

BLAS-on-flash: An Efficient Alternative for Large Scale ML Training and Inference? - Suhas Jayaram Subramanya; Harsha Vardhan Simhadri; Srajan Garg; Anil Kag; Venkatesh Balasubramanian (NSDI, 2019)

PACEMAKER: Avoiding HeART attacks in storage clusters with disk-adaptive redundancy. - Saurabh Kadekodi; Francisco Maturana; Suhas Jayaram Subramanya; Juncheng Yang; K. V. Rashmi; Gregory R. Ganger (OSDI, 2020)

Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search. - Harsha Vardhan Simhadri; George Williams; Martin Aumüller 001; Matthijs Douze; Artem Babenko; Dmitry Baranchuk; Qi Chen 009; Lucas Hosseini; Ravishankar Krishnaswamy; Gopal Srinivasa; Suhas Jayaram Subramanya; Jingdong Wang 001 (NeurIPS (Competition and Demos), 2021)

Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning. - Aurick Qiao; Sang Keun Choe; Suhas Jayaram Subramanya; Willie Neiswanger; Qirong Ho; Hao Zhang 025; Gregory R. Ganger; Eric P. Xing (OSDI, 2021)

FreshDiskANN: A Fast and Accurate Graph-Based ANN Index for Streaming Similarity Search. - Aditi Singh; Suhas Jayaram Subramanya; Ravishankar Krishnaswamy; Harsha Vardhan Simhadri (CoRR, 2021)

Sia: Heterogeneity-aware, goodput-optimized ML-cluster scheduling. - Suhas Jayaram Subramanya; Daiyaan Arfeen; Shouxu Lin; Aurick Qiao; Zhihao Jia; Gregory R. Ganger (SOSP, 2023)