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Singleton Sieving: Overcoming the Memory/Speed Trade-Off in Exascale k-mer Analysis
Hunter McCoy, Steven Hofmeyr, Katherine Yelick, Prashant Pandey
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High-Performance Filters for GPUs
Hunter McCoy, Steven Hofmeyr, Katherine Yelick, Prashant Pandey
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Communication Optimization for Distributed Execution of Graph Neural Networks
Süreyya Emre Kurt, Jinghua Yan, Aravind Sukumaran-Rajam, Prashant Pandey, P. Sadayappan
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Distance and Time Sensitive Filters for Similarity Search in Trajectory Datasets
Madhav Narayan Bhat, Paul Cesaretti, Mayank Goswami, Prashant Pandey
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Terrace: A Hierarchical Graph Container for Skewed Dynamic Graphs
Prashant Pandey, Brian Wheatman, Helen Xu, Aydin Buluc
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Vector Quotient Filters: Overcoming the Time/Space Trade-Off in Filter Design
Prashant Pandey, Alex Conway, Joe Durie, Michael Bender, Martin Farach-Colton, Rob Johnson
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Distributed-Memory k-mer Counting on GPUs
Israt Nisa, Prashant Pandey, Marquita Ellis, Leonid Oliker, Aydin Buluc, Katherine Yelick
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Timely Reporting of Heavy Hitters Using External Memory
[*Joint first authors]
Prashant Pandey, Shikha Singh, Michael A. Bender, Jonathan W. Berry, Martin Farach-Colton, Rob Johnson, Thomas M. Kroeger, Cynthia A. Phillips
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Small Refinements to the DAM Can Have Big Consequences for Data-Structure Design
Michael Bender, Alex Conway, Martin Farach-Colton, William Jannen, Yizheng Jiao, Rob Johnson, Eric Knorr, Sara McAllister, Nirjhar Mukherjee, Prashant Pandey, Donald E. Porter, Jun Yuan, Yang Zhan
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Locality Sensitive Hashing for the Edit Distance
Guillaume Marcais, Dan DeBlasio, Prashant Pandey, Carl Kingsford
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