Vikram Nathan

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 18

Top Topics

Query Execution

Scaling Function

Hardware Design

Top Venues

Proc. VLDB Endow.

SIGMOD Conference Companion

Publications

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)
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)
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 (2024)
Jialin Ding, Ryan C. 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) (2022)
Vikram Nathan, Jialin Ding, Tim Kraska, Mohammad Alizadeh
Cortex: Harnessing Correlations to Boost Query Performance. CoRR (2020)
Vikram Nathan, Jialin Ding, Mohammad Alizadeh, Tim Kraska
Learning Multi-Dimensional Indexes. SIGMOD Conference (2020)
Jialin Ding, Vikram Nathan, Mohammad Alizadeh, Tim Kraska
Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads. CoRR (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) (2020)
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)
Vikram Nathan, Vibhaalakshmi Sivaraman, Ravichandra Addanki, Mehrdad Khani Shirkoohi, Prateesh Goyal, Mohammad Alizadeh
End-to-end transport for video QoE fairness. SIGCOMM (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)
Darryl Ho, Jialin Ding, Sanchit Misra, Nesime Tatbul, Vikram Nathan, Vasimuddin Md, Tim Kraska
LISA: Towards Learned DNA Sequence Search. CoRR (2019)
Vikram Nathan, Jialin Ding, Mohammad Alizadeh, Tim Kraska
Learning Multi-dimensional Indexes. CoRR (2019)
Ravi Netravali, Vikram Nathan, James Mickens, Hari Balakrishnan
Vesper: Measuring Time-to-Interactivity for Web Pages. NSDI (2018)
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)
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)
Michael Mitzenmacher, Vikram Nathan
Hardness of peeling with stashes. Inf. Process. Lett. 116 (11) (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)
Vikram Nathan, Sharath Raghvendra
Accurate Streaming Support Vector Machines. CoRR (2014)
Michael Mitzenmacher, Vikram Nathan
Hardness of Peeling with Stashes. CoRR (2014)