Towards Optimal and Efficient Perfectly Secure Message Transmission. - Matthias Fitzi; Matthew K. Franklin; Juan A. Garay; Harsha Vardhan Simhadri (TCC, 2007)

Combinable memory-block transactions. - Guy E. Blelloch; Phillip B. Gibbons; Harsha Vardhan Simhadri (SPAA, 2008)

Brief announcement: low depth cache-oblivious sorting. - Guy E. Blelloch; Phillip B. Gibbons; Harsha Vardhan Simhadri (SPAA, 2009)

Low depth cache-oblivious algorithms. - Guy E. Blelloch; Phillip B. Gibbons; Harsha Vardhan Simhadri (SPAA, 2010)

Scheduling irregular parallel computations on hierarchical caches. - Guy E. Blelloch; Jeremy T. Fineman; Phillip B. Gibbons; Harsha Vardhan Simhadri (SPAA, 2011)

Parallel and I/O efficient set covering algorithms. - Guy E. Blelloch; Harsha Vardhan Simhadri; Kanat Tangwongsan (SPAA, 2012)

Brief announcement: the problem based benchmark suite. - Julian Shun; Guy E. Blelloch; Jeremy T. Fineman; Phillip B. Gibbons; Aapo Kyrola; Harsha Vardhan Simhadri; Kanat Tangwongsan (SPAA, 2012)

Program-centric cost models for locality. - Guy E. Blelloch; Jeremy T. Fineman; Phillip B. Gibbons; Harsha Vardhan Simhadri (MSPC@PLDI, 2013)

Using Symmetry to Schedule Classical Matrix Multiplication. - Harsha Vardhan Simhadri (CoRR, 2015)

Write-Avoiding Algorithms. - Erin C. Carson; James Demmel; Laura Grigori; Nicholas Knight; Penporn Koanantakool; Oded Schwartz; Harsha Vardhan Simhadri (IPDPS, 2016)

Extending the Nested Parallel Model to the Nested Dataflow Model with Provably Efficient Schedulers. - David Dinh; Harsha Vardhan Simhadri; Yuan Tang (SPAA, 2016)

Experimental Analysis of Space-Bounded Schedulers. - Harsha Vardhan Simhadri; Guy E. Blelloch; Jeremy T. Fineman; Phillip B. Gibbons; Aapo Kyrola (ACM Trans. Parallel Comput., 2016)

Provably Efficient Scheduling of Dynamically Allocating Programs on Parallel Cache Hierarchies. - Guy E. Blelloch; Phillip B. Gibbons; Harsha Vardhan Simhadri (HiPC, 2017)

ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices. - Chirag Gupta; Arun Sai Suggala; Ankit Goyal; Harsha Vardhan Simhadri; Bhargavi Paranjape; Ashish Kumar 007; Saurabh Goyal; Raghavendra Udupa; Manik Varma; Prateek Jain 002 (ICML, 2017)

Multiple Instance Learning for Efficient Sequential Data Classification on Resource-constrained Devices. - Don Kurian Dennis; Chirag Pabbaraju; Harsha Vardhan Simhadri; Prateek Jain 002 (NeurIPS, 2018)

Word2Sense: Sparse Interpretable Word Embeddings. - Abhishek Panigrahi; Harsha Vardhan Simhadri; Chiranjib Bhattacharyya (ACL (1), 2019)

Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices. - Don Kurian Dennis; Durmus Alp Emre Acar; Vikram Mandikal; Vinu Sankar Sadasivan; Venkatesh Saligrama; Harsha Vardhan Simhadri; Prateek Jain 002 (NeurIPS, 2019)

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)

GesturePod: Enabling On-device Gesture-based Interaction for White Cane Users. - Shishir G. Patil; Don Kurian Dennis; Chirag Pabbaraju; Nadeem Shaheer; Harsha Vardhan Simhadri; Vivek Seshadri; Manik Varma; Prateek Jain 002 (UIST, 2019)

DROCC: Deep Robust One-Class Classification. - Sachin Goyal; Aditi Raghunathan; Moksh Jain; Harsha Vardhan Simhadri; Prateek Jain 002 (ICML, 2020)

RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference. - Oindrila Saha; Aditya Kusupati; Harsha Vardhan Simhadri; Manik Varma; Prateek Jain 002 (NeurIPS, 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)

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)

OOD-DiskANN: Efficient and Scalable Graph ANNS for Out-of-Distribution Queries. - Shikhar Jaiswal; Ravishankar Krishnaswamy; Ankit Garg; Harsha Vardhan Simhadri; Sheshansh Agrawal (CoRR, 2022)

Filtered-DiskANN: Graph Algorithms for Approximate Nearest Neighbor Search with Filters. - Siddharth Gollapudi; Neel Karia; Varun Sivashankar; Ravishankar Krishnaswamy; Nikit Begwani; Swapnil Raz; Yiyong Lin 001; Yin Zhang; Neelam Mahapatro; Premkumar Srinivasan; Amit Singh 003; Harsha Vardhan Simhadri (WWW, 2023)

Scaling Graph-Based ANNS Algorithms to Billion-Size Datasets: A Comparative Analysis. - Magdalen Dobson; Zheqi Shen; Guy E. Blelloch; Laxman Dhulipala; Yan Gu 001; Harsha Vardhan Simhadri; Yihan Sun 001 (CoRR, 2023)

ParlayANN: Scalable and Deterministic Parallel Graph-Based Approximate Nearest Neighbor Search Algorithms. - Magdalen Dobson Manohar; Zheqi Shen; Guy E. Blelloch; Laxman Dhulipala; Yan Gu 001; Harsha Vardhan Simhadri; Yihan Sun 001 (PPoPP, 2024)

MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. - Qi Chen 009; Xiubo Geng; Corby Rosset; Carolyn Buractaon; Jingwen Lu; Tao Shen 001; Kun Zhou 002; Chenyan Xiong; Yeyun Gong; Paul N. Bennett; Nick Craswell; Xing Xie 001; et al. (WWW (Companion Volume), 2024)

BANG: Billion-Scale Approximate Nearest Neighbor Search using a Single GPU. - Karthik V.; Saim Khan; Somesh Singh 001; Harsha Vardhan Simhadri; Jyothi Vedurada (CoRR, 2024)

Results of the Big ANN: NeurIPS'23 competition. - Harsha Vardhan Simhadri; Martin Aumüller 001; Amir Ingber; Matthijs Douze; George Williams; Magdalen Dobson Manohar; Dmitry Baranchuk; Edo Liberty; Frank Liu 007; Benjamin Landrum; Mazin Karjikar; Laxman Dhulipala; et al. (CoRR, 2024)

The DiskANN library: Graph-Based Indices for Fast, Fresh and Filtered Vector Search. - Ravishankar Krishnaswamy; Magdalen Dobson Manohar; Harsha Vardhan Simhadri (IEEE Data Eng. Bull., 2024)

In-Place Updates of a Graph Index for Streaming Approximate Nearest Neighbor Search. - Haike Xu; Magdalen Dobson Manohar; Philip A. Bernstein; Badrish Chandramouli; Richard Wen; Harsha Vardhan Simhadri (CoRR, 2025)

Cost-Effective, Low Latency Vector Search with Azure Cosmos DB. - Nitish Upreti; Krishnan Sundaram; Hari Sudan Sundar; Samer Boshra; Balachandar Perumalswamy; Shivam Atri; Martin Chisholm; Revti Raman Singh; Greg Yang; Subramanyam Pattipaka; Tamara Hass; Nitesh Dudhey; et al. (CoRR, 2025)