Harsha Vardhan Simhadri

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 26

Top Topics

Nearest Neighbor Search

Top Venues

Publications

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
MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. WWW (Companion Volume) (2024)
Karthik V., Saim Khan, Somesh Singh, Harsha Vardhan Simhadri, Jyothi Vedurada
BANG: Billion-Scale Approximate Nearest Neighbor Search using a Single GPU. CoRR (2024)
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
MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels. CoRR (2024)
Magdalen Dobson Manohar, Zheqi Shen, Guy E. Blelloch, Laxman Dhulipala, Yan Gu, Harsha Vardhan Simhadri, Yihan Sun
ParlayANN: Scalable and Deterministic Parallel Graph-Based Approximate Nearest Neighbor Search Algorithms. PPoPP (2024)
Magdalen Dobson, Zheqi Shen, Guy E. Blelloch, Laxman Dhulipala, Yan Gu, Harsha Vardhan Simhadri, Yihan Sun
Scaling Graph-Based ANNS Algorithms to Billion-Size Datasets: A Comparative Analysis. CoRR (2023)
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
Filtered-DiskANN: Graph Algorithms for Approximate Nearest Neighbor Search with Filters. WWW (2023)
Shikhar Jaiswal, Ravishankar Krishnaswamy, Ankit Garg, Harsha Vardhan Simhadri, Sheshansh Agrawal
OOD-DiskANN: Efficient and Scalable Graph ANNS for Out-of-Distribution Queries. CoRR (2022)
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
Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search. CoRR (2022)
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
Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search. NeurIPS (Competition and Demos) (2021)
Aditi Singh, Suhas Jayaram Subramanya, Ravishankar Krishnaswamy, Harsha Vardhan Simhadri
FreshDiskANN: A Fast and Accurate Graph-Based ANN Index for Streaming Similarity Search. CoRR (2021)
Oindrila Saha, Aditya Kusupati, Harsha Vardhan Simhadri, Manik Varma, Prateek Jain
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference. CoRR (2020)
Sachin Goyal, Aditi Raghunathan, Moksh Jain, Harsha Vardhan Simhadri, Prateek Jain
DROCC: Deep Robust One-Class Classification. ICML (2020)
Oindrila Saha, Aditya Kusupati, Harsha Vardhan Simhadri, Manik Varma, Prateek Jain
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference. NeurIPS (2020)
Sachin Goyal, Aditi Raghunathan, Moksh Jain, Harsha Vardhan Simhadri, Prateek Jain
DROCC: Deep Robust One-Class Classification. CoRR (2020)
Suhas Jayaram Subramanya, Fnu Devvrit, Harsha Vardhan Simhadri, Ravishankar Krishnaswamy, Rohan Kadekodi
Rand-NSG: Fast Accurate Billion-point Nearest Neighbor Search on a Single Node. NeurIPS (2019)
Abhishek Panigrahi, Harsha Vardhan Simhadri, Chiranjib Bhattacharyya
Word2Sense: Sparse Interpretable Word Embeddings. ACL (1) (2019)
Don Kurian Dennis, Durmus Alp Emre Acar, Vikram Mandikal, Vinu Sankar Sadasivan, Venkatesh Saligrama, Harsha Vardhan Simhadri, Prateek Jain
Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices. NeurIPS (2019)
Shishir G. Patil, Don Kurian Dennis, Chirag Pabbaraju, Nadeem Shaheer, Harsha Vardhan Simhadri, Vivek Seshadri, Manik Varma, Prateek Jain
GesturePod: Enabling On-device Gesture-based Interaction for White Cane Users. UIST (2019)
Suhas Jayaram Subramanya, Harsha Vardhan Simhadri, Srajan Garg, Anil Kag, Venkatesh Balasubramanian
BLAS-on-flash: An Efficient Alternative for Large Scale ML Training and Inference? NSDI (2019)
Don Kurian Dennis, Chirag Pabbaraju, Harsha Vardhan Simhadri, Prateek Jain
Multiple Instance Learning for Efficient Sequential Data Classification on Resource-constrained Devices. NeurIPS (2018)
Guy E. Blelloch, Phillip B. Gibbons, Harsha Vardhan Simhadri
Provably Efficient Scheduling of Dynamically Allocating Programs on Parallel Cache Hierarchies. HiPC (2017)
Chirag Gupta, Arun Sai Suggala, Ankit Goyal, Harsha Vardhan Simhadri, Bhargavi Paranjape, Ashish Kumar, Saurabh Goyal, Raghavendra Udupa, Manik Varma, Prateek Jain
ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices. ICML (2017)
Erin C. Carson, James Demmel, Laura Grigori, Nicholas Knight, Penporn Koanantakool, Oded Schwartz, Harsha Vardhan Simhadri
Write-Avoiding Algorithms. IPDPS (2016)
Harsha Vardhan Simhadri, Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Aapo Kyrola
Experimental Analysis of Space-Bounded Schedulers. ACM Trans. Parallel Comput. 3 (1) (2016)
David Dinh, Harsha Vardhan Simhadri, Yuan Tang
Extending the Nested Parallel Model to the Nested Dataflow Model with Provably Efficient Schedulers. SPAA (2016)
David Dinh, Harsha Vardhan Simhadri, Yuan Tang
Extending the Nested Parallel Model to the Nested Dataflow Model with Provably Efficient Schedulers. CoRR (2016)
Harsha Vardhan Simhadri
Using Symmetry to Schedule Classical Matrix Multiplication. CoRR (2015)
Harsha Vardhan Simhadri, Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Aapo Kyrola
Experimental analysis of space-bounded schedulers. SPAA (2014)
Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Harsha Vardhan Simhadri
Program-centric cost models for locality. MSPC@PLDI (2013)
Julian Shun, Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Aapo Kyrola, Harsha Vardhan Simhadri, Kanat Tangwongsan
Brief announcement: the problem based benchmark suite. SPAA (2012)
Guy E. Blelloch, Harsha Vardhan Simhadri, Kanat Tangwongsan
Parallel and I/O efficient set covering algorithms. SPAA (2012)
Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Harsha Vardhan Simhadri
Scheduling irregular parallel computations on hierarchical caches. SPAA (2011)
Guy E. Blelloch, Phillip B. Gibbons, Harsha Vardhan Simhadri
Low depth cache-oblivious algorithms. SPAA (2010)
Guy E. Blelloch, Phillip B. Gibbons, Harsha Vardhan Simhadri
Brief announcement: low depth cache-oblivious sorting. SPAA (2009)
Guy E. Blelloch, Phillip B. Gibbons, Harsha Vardhan Simhadri
Combinable memory-block transactions. SPAA (2008)
Matthias Fitzi, Matthew K. Franklin, Juan A. Garay, Harsha Vardhan Simhadri
Towards Optimal and Efficient Perfectly Secure Message Transmission. TCC (2007)