Harsha Vardhan Simhadri
Orcid: 0000000293232227Affiliations:
 Microsoft Research, India
 Lawrence Berkeley National Lab, Berkeley, CA, USA
 Carnegie Mellon University, Pittsburgh, USA
According to our database^{1},
Harsha Vardhan Simhadri
authored at least 30 papers
between 2007 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
MS MARCO Web Search: A Largescale Informationrich Web Dataset with Millions of Real Click Labels.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
ParlayANN: Scalable and Deterministic Parallel GraphBased Approximate Nearest Neighbor Search Algorithms.
Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024
2023
Scaling GraphBased ANNS Algorithms to BillionSize Datasets: A Comparative Analysis.
CoRR, 2023
FilteredDiskANN: Graph Algorithms for Approximate Nearest Neighbor Search with Filters.
Proceedings of the ACM Web Conference 2023, 2023
2022
CoRR, 2022
2021
FreshDiskANN: A Fast and Accurate GraphBased ANN Index for Streaming Similarity Search.
CoRR, 2021
Results of the NeurIPS'21 Challenge on BillionScale Approximate Nearest Neighbor Search.
Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology, 2019
BLASonflash: An Efficient Alternative for Large Scale ML Training and Inference?
Proceedings of the 16th USENIX Symposium on Networked Systems Design and Implementation, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
Multiple Instance Learning for Efficient Sequential Data Classification on Resourceconstrained Devices.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Provably Efficient Scheduling of Dynamically Allocating Programs on Parallel Cache Hierarchies.
Proceedings of the 24th IEEE International Conference on High Performance Computing, 2017
2016
ACM Trans. Parallel Comput., 2016
Extending the Nested Parallel Model to the Nested Dataflow Model with Provably Efficient Schedulers.
Proceedings of the 28th ACM Symposium on Parallelism in Algorithms and Architectures, 2016
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016
2015
CoRR, 2015
2013
Proceedings of the ACM SIGPLAN Workshop on Memory Systems Performance and Correctness, 2013
2012
Proceedings of the 24th ACM Symposium on Parallelism in Algorithms and Architectures, 2012
Proceedings of the 24th ACM Symposium on Parallelism in Algorithms and Architectures, 2012
2011
Proceedings of the SPAA 2011: Proceedings of the 23rd Annual ACM Symposium on Parallelism in Algorithms and Architectures, 2011
2010
Proceedings of the SPAA 2010: Proceedings of the 22nd Annual ACM Symposium on Parallelism in Algorithms and Architectures, 2010
2009
Proceedings of the SPAA 2009: Proceedings of the 21st Annual ACM Symposium on Parallelism in Algorithms and Architectures, 2009
2008
Proceedings of the SPAA 2008: Proceedings of the 20th Annual ACM Symposium on Parallelism in Algorithms and Architectures, 2008
2007
Proceedings of the Theory of Cryptography, 4th Theory of Cryptography Conference, 2007