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Vikram Nathan
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2020 – today
- 2024
- [c11]Yanlei Diao
, Dominik Horn
Forecasting Algorithms for Intelligent Resource Scaling: An Experimental Analysis. SoCC 2024: 126-143 - [c10]Vikram Nathan
Intelligent Scaling in Amazon Redshift. SIGMOD Conference Companion 2024: 269-279 - [c9]Ziniu Wu
Stage: Query Execution Time Prediction in Amazon Redshift. SIGMOD Conference Companion 2024: 280-294 - [i7]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) - 2022
- [b1]Vikram Nathan:
Building Instance Aware Systems using Explicit Performance Modeling. Massachusetts Institute of Technology, USA, 2022 - [j3]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) - 2020
- [j2]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) - [c8]Vikram Nathan, Jialin Ding, Mohammad Alizadeh, Tim Kraska:
Learning Multi-Dimensional Indexes. SIGMOD Conference 2020: 985-1000 - [i6]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) - [i5]Vikram Nathan, Jialin Ding, Tim Kraska, Mohammad Alizadeh:
Cortex: Harnessing Correlations to Boost Query Performance. CoRR abs/2012.06683 (2020)
2010 – 2019
- 2019
- [c7]Tim Kraska, Mohammad Alizadeh, Alex Beutel, Ed H. Chi, Ani Kristo, Guillaume Leclerc, Samuel Madden
SageDB: A Learned Database System. CIDR 2019 - [c6]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 - [c5]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 - [i4]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) - [i3]Vikram Nathan, Jialin Ding, Mohammad Alizadeh, Tim Kraska:
Learning Multi-dimensional Indexes. CoRR abs/1912.01668 (2019) - 2018
- [c4]Ravi Netravali, Vikram Nathan, James Mickens, Hari Balakrishnan:
Vesper: Measuring Time-to-Interactivity for Web Pages. NSDI 2018: 217-231 - 2017
- [c3]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 - [c2]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 - 2016
- [j1]Michael Mitzenmacher, Vikram Nathan:
Hardness of peeling with stashes. Inf. Process. Lett. 116(11): 682-688 (2016) - [c1]Srinivas Narayana, Anirudh Sivaraman, Vikram Nathan, Mohammad Alizadeh, David Walker
Hardware-Software Co-Design for Network Performance Measurement. HotNets 2016: 190-196 - 2014
- [i2]Michael Mitzenmacher, Vikram Nathan:
Hardness of Peeling with Stashes. CoRR abs/1410.5169 (2014) - [i1]Vikram Nathan, Sharath Raghvendra:
Accurate Streaming Support Vector Machines. CoRR abs/1412.2485 (2014)
Coauthor Index
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