Harsha Vardhan Simhadri

44 papers A* 8A 1B 10Misc 2Journal 19Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
BANG: Billion-Scale Approximate Nearest Neighbour Search Using a Single GPU.
IEEE Trans. Big Data
Karthik Venkatasubba, Saim Khan, Somesh Singh, Harsha Vardhan Simhadri, Jyothi Vedurada
2025 J jnl
Cost-Effective, Low Latency Vector Search with Azure Cosmos DB.
CoRR
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, James Codella, Mark Hildebrand, Magdalen Dobson Manohar, Jack Moffitt, Haiyang Xu, Naren Datha, Suryansh Gupta, Ravishankar Krishnaswamy, Prashant Gupta, Abhishek Sahu, Ritika Mor, Santosh Kulkarni, Hemeswari Varada, Sudhanshu Barthwal, Amar Sagare, Dinesh Billa, Zishan Fu, Neil Deshpande, Shaun Cooper, Kevin Pilch, Simon Moreno, Aayush Kataria, Vipul Vishal, Harsha Vardhan Simhadri
2025 J jnl
Cost-Effective, Low Latency Vector Search with Azure Cosmos DB.
Proc. VLDB Endow.
Nitish Upreti, Harsha Vardhan Simhadri, Hari Sudan Sundar, Krishnan Sundaram, Samer Boshra, Balachandar Perumalswamy, Shivam Atri, Martin Chisholm, Revti Raman Singh, Greg Yang, Tamara Hass, Nitesh Dudhey, Subramanyam Pattipaka, Mark Hildebrand, Magdalen Dobson, Jack Moffitt, Haiyang Xu, Naren Datha, Suryansh Gupta, Ravishankar Krishnaswamy, Prashant Gupta, Abhishek Sahu, Hemeswari Varada, Sudhanshu Barthwal, Ritika Mor, James Codella, Shaun Cooper, Kevin Pilch, Simon Moreno, Aayush Kataria, Santosh Kulkarni, Neil Deshpande, Amar Sagare, Dinesh Billa, Zishan Fu, Vipul Vishal
2025 J jnl
DISTRIBUTEDANN: Efficient Scaling of a Single DISKANN Graph Across Thousands of Computers.
CoRR
Philip Adams, Menghao Li, Shi Zhang, Li Tan, Qi Chen, Mingqin Li, Zengzhong Li, Knut Magne Risvik, Harsha Vardhan Simhadri
2025 J jnl
In-Place Updates of a Graph Index for Streaming Approximate Nearest Neighbor Search.
CoRR
Haike Xu, Magdalen Dobson Manohar, Philip A. Bernstein, Badrish Chandramouli, Richard Wen, Harsha Vardhan Simhadri
2024 J jnl
BANG: Billion-Scale Approximate Nearest Neighbor Search using a Single GPU.
CoRR
Karthik V., Saim Khan, Somesh Singh, Harsha Vardhan Simhadri, Jyothi Vedurada
2024 — conf
MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels.
WWW (Companion Volume)
Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
2024 J jnl
MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels.
CoRR
Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
2024 B conf
ParlayANN: Scalable and Deterministic Parallel Graph-Based Approximate Nearest Neighbor Search Algorithms.
PPoPP
Magdalen Dobson Manohar, Zheqi Shen, Guy E. Blelloch, Laxman Dhulipala, Yan Gu, Harsha Vardhan Simhadri, Yihan Sun
2024 J jnl
Results of the Big ANN: NeurIPS'23 competition.
CoRR
Harsha Vardhan Simhadri, Martin Aumüller, Amir Ingber, Matthijs Douze, George Williams, Magdalen Dobson Manohar, Dmitry Baranchuk, Edo Liberty, Frank Liu, Benjamin Landrum, Mazin Karjikar, Laxman Dhulipala, Meng Chen, Yue Chen, Rui Ma, Kai Zhang, Yuzheng Cai, Jiayang Shi, Yizhuo Chen, Weiguo Zheng, Zihao Wan, Jie Yin, Ben Huang
2024 J jnl
The DiskANN library: Graph-Based Indices for Fast, Fresh and Filtered Vector Search.
IEEE Data Eng. Bull.
Ravishankar Krishnaswamy, Magdalen Dobson Manohar, Harsha Vardhan Simhadri
2024 J jnl
Vector Databases: What's Really New and What's Next?
Proc. VLDB Endow.
Jianguo Wang, Eric Hanson, Guoliang Li, Yannis Papakonstantinou, Harsha Vardhan Simhadri, Charles Xie
2023 A* conf
Filtered-DiskANN: Graph Algorithms for Approximate Nearest Neighbor Search with Filters.
WWW
Siddharth Gollapudi, Neel Karia, Varun Sivashankar, Ravishankar Krishnaswamy, Nikit Begwani, Swapnil Raz, Yiyong Lin, Yin Zhang, Neelam Mahapatro, Premkumar Srinivasan, Amit Singh, Harsha Vardhan Simhadri
2023 J jnl
Scaling Graph-Based ANNS Algorithms to Billion-Size Datasets: A Comparative Analysis.
CoRR
Magdalen Dobson, Zheqi Shen, Guy E. Blelloch, Laxman Dhulipala, Yan Gu, Harsha Vardhan Simhadri, Yihan Sun
2022 J jnl
OOD-DiskANN: Efficient and Scalable Graph ANNS for Out-of-Distribution Queries.
CoRR
Shikhar Jaiswal, Ravishankar Krishnaswamy, Ankit Garg, Harsha Vardhan Simhadri, Sheshansh Agrawal
2022 J jnl
Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search.
CoRR
Harsha Vardhan Simhadri, George Williams, Martin Aumüller, Matthijs Douze, Artem Babenko, Dmitry Baranchuk, Qi Chen, Lucas Hosseini, Ravishankar Krishnaswamy, Gopal Srinivasa, Suhas Jayaram Subramanya, Jingdong Wang
2021 J jnl
FreshDiskANN: A Fast and Accurate Graph-Based ANN Index for Streaming Similarity Search.
CoRR
Aditi Singh, Suhas Jayaram Subramanya, Ravishankar Krishnaswamy, Harsha Vardhan Simhadri
2021 — conf
Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search.
NeurIPS (Competition and Demos)
Harsha Vardhan Simhadri, George Williams, Martin Aumüller, Matthijs Douze, Artem Babenko, Dmitry Baranchuk, Qi Chen, Lucas Hosseini, Ravishankar Krishnaswamy, Gopal Srinivasa, Suhas Jayaram Subramanya, Jingdong Wang
2020 A* conf
DROCC: Deep Robust One-Class Classification.
ICML
Sachin Goyal, Aditi Raghunathan, Moksh Jain, Harsha Vardhan Simhadri, Prateek Jain
2020 J jnl
DROCC: Deep Robust One-Class Classification.
CoRR
Sachin Goyal, Aditi Raghunathan, Moksh Jain, Harsha Vardhan Simhadri, Prateek Jain
2020 A* conf
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference.
NeurIPS
Oindrila Saha, Aditya Kusupati, Harsha Vardhan Simhadri, Manik Varma, Prateek Jain
2020 J jnl
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference.
CoRR
Oindrila Saha, Aditya Kusupati, Harsha Vardhan Simhadri, Manik Varma, Prateek Jain
2019 Misc conf
BLAS-on-flash: An Efficient Alternative for Large Scale ML Training and Inference?
NSDI
Suhas Jayaram Subramanya, Harsha Vardhan Simhadri, Srajan Garg, Anil Kag, Venkatesh Balasubramanian
2019 A* conf
GesturePod: Enabling On-device Gesture-based Interaction for White Cane Users.
UIST
Shishir G. Patil, Don Kurian Dennis, Chirag Pabbaraju, Nadeem Shaheer, Harsha Vardhan Simhadri, Vivek Seshadri, Manik Varma, Prateek Jain
2019 A* conf
Rand-NSG: Fast Accurate Billion-point Nearest Neighbor Search on a Single Node.
NeurIPS
Suhas Jayaram Subramanya, Devvrit, Harsha Vardhan Simhadri, Ravishankar Krishnaswamy, Rohan Kadekodi
2019 A* conf
Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices.
NeurIPS
Don Kurian Dennis, Durmus Alp Emre Acar, Vikram Mandikal, Vinu Sankar Sadasivan, Venkatesh Saligrama, Harsha Vardhan Simhadri, Prateek Jain
2019 — conf
Word2Sense: Sparse Interpretable Word Embeddings.
ACL (1)
Abhishek Panigrahi, Harsha Vardhan Simhadri, Chiranjib Bhattacharyya
2018 A* conf
Multiple Instance Learning for Efficient Sequential Data Classification on Resource-constrained Devices.
NeurIPS
Don Kurian Dennis, Chirag Pabbaraju, Harsha Vardhan Simhadri, Prateek Jain
2017 A* conf
ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices.
ICML
Chirag Gupta, Arun Sai Suggala, Ankit Goyal, Harsha Vardhan Simhadri, Bhargavi Paranjape, Ashish Kumar, Saurabh Goyal, Raghavendra Udupa, Manik Varma, Prateek Jain
2017 Misc conf
Provably Efficient Scheduling of Dynamically Allocating Programs on Parallel Cache Hierarchies.
HiPC
Guy E. Blelloch, Phillip B. Gibbons, Harsha Vardhan Simhadri
2016 J jnl
Experimental Analysis of Space-Bounded Schedulers.
ACM Trans. Parallel Comput.
Harsha Vardhan Simhadri, Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Aapo Kyrola
2016 B conf
Extending the Nested Parallel Model to the Nested Dataflow Model with Provably Efficient Schedulers.
SPAA
David Dinh, Harsha Vardhan Simhadri, Yuan Tang
2016 J jnl
Extending the Nested Parallel Model to the Nested Dataflow Model with Provably Efficient Schedulers.
CoRR
David Dinh, Harsha Vardhan Simhadri, Yuan Tang
2016 A conf
Write-Avoiding Algorithms.
IPDPS
Erin Carson, James Demmel, Laura Grigori, Nicholas Knight, Penporn Koanantakool, Oded Schwartz, Harsha Vardhan Simhadri
2015 J jnl
Using Symmetry to Schedule Classical Matrix Multiplication.
CoRR
Harsha Vardhan Simhadri
2014 B conf
Experimental analysis of space-bounded schedulers.
SPAA
Harsha Vardhan Simhadri, Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Aapo Kyrola
2013 — conf
Program-centric cost models for locality.
MSPC@PLDI
Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Harsha Vardhan Simhadri
2012 B conf
Brief announcement: the problem based benchmark suite.
SPAA
Julian Shun, Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Aapo Kyrola, Harsha Vardhan Simhadri, Kanat Tangwongsan
2012 B conf
Parallel and I/O efficient set covering algorithms.
SPAA
Guy E. Blelloch, Harsha Vardhan Simhadri, Kanat Tangwongsan
2011 B conf
Scheduling irregular parallel computations on hierarchical caches.
SPAA
Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Harsha Vardhan Simhadri
2010 B conf
Low depth cache-oblivious algorithms.
SPAA
Guy E. Blelloch, Phillip B. Gibbons, Harsha Vardhan Simhadri
2009 B conf
Brief announcement: low depth cache-oblivious sorting.
SPAA
Guy E. Blelloch, Phillip B. Gibbons, Harsha Vardhan Simhadri
2008 B conf
Combinable memory-block transactions.
SPAA
Guy E. Blelloch, Phillip B. Gibbons, Harsha Vardhan Simhadri
2007 B conf
Towards Optimal and Efficient Perfectly Secure Message Transmission.
TCC
Matthias Fitzi, Matthew K. Franklin, Juan A. Garay, Harsha Vardhan Simhadri