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Publication search results
found 40 matches
- 2024
- Vikram Nathan, Vikramank Y. Singh, Zhengchun Liu, Mohammad Rahman, Andreas Kipf, Dominik Horn, Davide Pagano, Gaurav Saxena, Balakrishnan Narayanaswamy, Tim Kraska:
Intelligent Scaling in Amazon Redshift. SIGMOD Conference Companion 2024: 269-279 - Ziniu Wu, Ryan Marcus, Zhengchun Liu, Parimarjan Negi, Vikram Nathan, Pascal Pfeil, Gaurav Saxena, Mohammad Rahman, Balakrishnan Narayanaswamy, Tim Kraska:
Stage: Query Execution Time Prediction in Amazon Redshift. SIGMOD Conference Companion 2024: 280-294 - Ziniu Wu, Ryan Marcus, Zhengchun Liu, Parimarjan Negi, Vikram Nathan, Pascal Pfeil, Gaurav Saxena, Mohammad Rahman, Balakrishnan Narayanaswamy, Tim Kraska:
Stage: Query Execution Time Prediction in Amazon Redshift. CoRR abs/2403.02286 (2024) - Andy K. Zhang, Neil Perry, Riya Dulepet, Eliot Jones, Justin W. Lin, Joey Ji, Celeste Menders, Gashon Hussein, Samantha Liu, Donovan Jasper, Pura Peetathawatchai, Ari Glenn, Vikram Sivashankar, Daniel Zamoshchin, Leo Glikbarg, Derek Askaryar, Mike Yang, Teddy Zhang, Rishi Alluri, Nathan Tran, Rinnara Sangpisit, Polycarpos Yiorkadjis, Kenny Osele, Gautham Raghupathi, Dan Boneh, Daniel E. Ho, Percy Liang:
Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risk of Language Models. CoRR abs/2408.08926 (2024) - 2023
- Yifan Zhao, Hashim Sharif, Peter Pao-Huang, Vatsin Shah, Arun Narenthiran Sivakumar, Mateus Valverde Gasparino, Abdulrahman Mahmoud, Nathan Zhao, Sarita V. Adve, Girish Chowdhary, Sasa Misailovic, Vikram S. Adve:
ApproxCaliper: A Programmable Framework for Application-aware Neural Network Optimization. MLSys 2023 - 2022
- Vikram Nathan:
Building Instance Aware Systems using Explicit Performance Modeling. Massachusetts Institute of Technology, USA, 2022 - Jialin Ding, Ryan Marcus, Andreas Kipf, Vikram Nathan, Aniruddha Nrusimha, Kapil Vaidya, Alexander van Renen, Tim Kraska:
SageDB: An Instance-Optimized Data Analytics System. Proc. VLDB Endow. 15(13): 4062-4078 (2022) - 2021
- Nathan Vaughn, Vikram Gavini, Robert Krasny:
Treecode-accelerated Green iteration for Kohn-Sham density functional theory. J. Comput. Phys. 430: 110101 (2021) - Hashim Sharif, Yifan Zhao, Maria Kotsifakou, Akash Kothari, Ben Schreiber, Elizabeth Wang, Yasmin Sarita, Nathan Zhao, Keyur Joshi, Vikram S. Adve, Sasa Misailovic, Sarita V. Adve:
ApproxTuner: a compiler and runtime system for adaptive approximations. PPoPP 2021: 262-277 - 2020
- Jialin Ding, Vikram Nathan, Mohammad Alizadeh, Tim Kraska:
Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads. Proc. VLDB Endow. 14(2): 74-86 (2020) - Nathan L. Henderson, Vikram Kumara, Wookhee Min, Bradford W. Mott, Ziwei Wu, Danielle Boulden, Trudi Lord, Frieda Reichsman, Chad Dorsey, Eric N. Wiebe, James C. Lester:
Enhancing Student Competency Models for Game-Based Learning with a Hybrid Stealth Assessment Framework. EDM 2020 - Vikram Nathan, Jialin Ding, Mohammad Alizadeh, Tim Kraska:
Learning Multi-Dimensional Indexes. SIGMOD Conference 2020: 985-1000 - Yang You, Glen A. Wiedemeier, Chad Marquart, Chris Steffen, Erik English, Dereje Yilma, Thomas Pham, Venkat Nammi, Jeffrey Okyere, Nathan Blanchard, Akil Sutton, Ze Zhang, David Friend, Diego Barba, Tyler Bohlke, Michael Spear, Vikram Raj, James Crugnale, Daniel Dreps, Pier Andrea Francese, Marcel A. Kossel, Thomas Morf:
A 25×50Gb/s 2.22pJ/b NRZ RX with Dual-Bank and 3-Tap Speculative DFE for Microprocessor Application in 7nm FinFET CMOS. VLSI Circuits 2020: 1-2 - Jialin Ding, Vikram Nathan, Mohammad Alizadeh, Tim Kraska:
Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads. CoRR abs/2006.13282 (2020) - Vikram Nathan, Jialin Ding, Tim Kraska, Mohammad Alizadeh:
Cortex: Harnessing Correlations to Boost Query Performance. CoRR abs/2012.06683 (2020) - 2019
- Hashim Sharif, Prakalp Srivastava, Muhammad Huzaifa, Maria Kotsifakou, Keyur Joshi, Yasmin Sarita, Nathan Zhao, Vikram S. Adve, Sasa Misailovic, Sarita V. Adve:
ApproxHPVM: a portable compiler IR for accuracy-aware optimizations. Proc. ACM Program. Lang. 3(OOPSLA): 186:1-186:30 (2019) - Tim Kraska, Mohammad Alizadeh, Alex Beutel, Ed H. Chi, Ani Kristo, Guillaume Leclerc, Samuel Madden, Hongzi Mao, Vikram Nathan:
SageDB: A Learned Database System. CIDR 2019 - Hongzi Mao, Parimarjan Negi, Akshay Narayan, Hanrui Wang, Jiacheng Yang, Haonan Wang, Ryan Marcus, Ravichandra Addanki, Mehrdad Khani Shirkoohi, Songtao He, Vikram Nathan, Frank Cangialosi, Shaileshh Bojja Venkatakrishnan, Wei-Hung Weng, Song Han, Tim Kraska, Mohammad Alizadeh:
Park: An Open Platform for Learning-Augmented Computer Systems. NeurIPS 2019: 2490-2502 - Vikram Nathan, Vibhaalakshmi Sivaraman, Ravichandra Addanki, Mehrdad Khani Shirkoohi, Prateesh Goyal, Mohammad Alizadeh:
End-to-end transport for video QoE fairness. SIGCOMM 2019: 408-423 - Darryl Ho, Jialin Ding, Sanchit Misra, Nesime Tatbul, Vikram Nathan, Md. Vasimuddin, Tim Kraska:
LISA: Towards Learned DNA Sequence Search. CoRR abs/1910.04728 (2019) - Vikram Nathan, Jialin Ding, Mohammad Alizadeh, Tim Kraska:
Learning Multi-dimensional Indexes. CoRR abs/1912.01668 (2019) - 2018
- Nathaniel S. Helminiak, David S. Helminiak, Vikram Cariapa, John P. Borg:
Resolving the angular velocity of two-dimensional particle interactions induced within a rotary tumbler. J. Vis. 21(5): 779-793 (2018) - Ravi Netravali, Vikram Nathan, James Mickens, Hari Balakrishnan:
Vesper: Measuring Time-to-Interactivity for Web Pages. NSDI 2018: 217-231 - 2017
- Srinivas Narayana, Anirudh Sivaraman, Vikram Nathan, Prateesh Goyal, Venkat Arun, Mohammad Alizadeh, Vimalkumar Jeyakumar, Changhoon Kim:
Language-Directed Hardware Design for Network Performance Monitoring. SIGCOMM 2017: 85-98 - Vikram Nathan, Srinivas Narayana, Anirudh Sivaraman, Prateesh Goyal, Venkat Arun, Mohammad Alizadeh, Vimalkumar Jeyakumar, Changhoon Kim:
Demonstration of the Marple System for Network Performance Monitoring. SIGCOMM Posters and Demos 2017: 57-59 - 2016
- Michael Mitzenmacher, Vikram Nathan:
Hardness of peeling with stashes. Inf. Process. Lett. 116(11): 682-688 (2016) - Vaughn R. Steele, Nathaniel E. Anderson, Eric D. Claus, Edward M. Bernat, Vikram Rao, Michal Assaf, Godfrey D. Pearlson, Vince D. Calhoun, Kent A. Kiehl:
Neuroimaging measures of error-processing: Extracting reliable signals from event-related potentials and functional magnetic resonance imaging. NeuroImage 132: 247-260 (2016) - Srinivas Narayana, Anirudh Sivaraman, Vikram Nathan, Mohammad Alizadeh, David Walker, Jennifer Rexford, Vimalkumar Jeyakumar, Changhoon Kim:
Hardware-Software Co-Design for Network Performance Measurement. HotNets 2016: 190-196 - 2015
- Nathan Dautenhahn, Theodoros Kasampalis, Will Dietz, John Criswell, Vikram S. Adve:
Nested Kernel: An Operating System Architecture for Intra-Kernel Privilege Separation. ASPLOS 2015: 191-206 - Will Dietz, Joshua Cranmer, Nathan Dautenhahn, Vikram S. Adve:
Slipstream: Automatic Interprocess Communication Optimization. USENIX ATC 2015: 431-443
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