Karthik Ramachandra

Principal Group Engineering Manager

출판물

자료 보기:

- A Case for Graphics-Driven Query Processing
  
  Harish Doraiswamy, Vikas Kalagi, Karthik Ramachandra, Jayant R. Haritsa
  
  Proceedings of the VLDB Endowment | August 2023, 제 16 권(10): pp. 2499-2511
  
  DOI Publication 프로젝트
- Procedural Extensions of SQL: Understanding their usage in the wild
  
  Surabhi Gupta, Karthik Ramachandra
  
  PVLDB | May 2021, 제 14 권(8): pp. 1378-1391
  
  Publication
- Magpie: Python at Speed and Scale using Cloud Backends
  
  Alekh Jindal, Venkatesh Emani, Maureen Daum, Olga Poppe, Brandon Haynes, Anna Pavlenko, Ayushi Gupta, Karthik Ramachandra, Carlo Curino, Andreas C. Müller, Wentao Wu, Hiren Patel
  
  Conference on Innovative Data Systems Research (CIDR 2021) | February 2021
  
  Publication 동영상 동영상
- Aggify: Lifting the Curse of Cursor Loops using Custom Aggregates
  
  Surabhi Gupta, Sanket Purandare, Karthik Ramachandra
  
  ACM SIGMOD 2020 | August 2020
  
  Publication 동영상 프로젝트 프로젝트
- BlackMagic: Automatic Inlining of Scalar UDFs into SQL Queries with Froid
  
  Karthik Ramachandra, Kwanghyun Park
  
  Proceedings of VLDB | August 2019, 제 12 권(12): pp. 1810-1813
  
  Publication 동영상 프로젝트
- Characterizing Resource Sensitivity of Database Workloads
  
  Rathijit Sen, Karthik Ramachandra
  
  High-Performance Computer Architecture | January 2018
  
  Publication
- Froid: Optimization of Imperative Programs in a Relational Database
  
  Karthik Ramachandra, Kwanghyun Park, K. Venkatesh Emani, Alan Halverson, Cesar Galindo-Legaria, Conor Cunningham
  
  Proceedings of VLDB | December 2017, 제 11 권(4)
  
  Publication 동영상 프로젝트
- DBridge: Translating Imperative Code to SQL
  
  Venkatesh Emani, Tejas Deshpande, Karthik Ramachandra, S. Sudarshan
  
  SIGMOD (Demo) | June 2017
  
  Publication
- Predictive Provisioning: Efficiently Anticipating Usage in Azure SQL Database
  
  Lalitha Viswanathan, Bikash Chandra, Willis Lang, Karthik Ramachandra, Jignesh M. Patel, Ajay Kalhan, David J. Dewitt, Alan Halverson
  
  International Conference on Data Engineering | April 2017
  
  DOI PDF Publication Publication Publication
- Not for the timid: on the impact of aggressive over-booking in the cloud
  
  Willis Lang, Karthik Ramachandra, David J. DeWitt, Shize Xu, Qun Guo, Ajay Kalhan, Peter Carlin
  
  Proceedings of the VLDB Endowment | October 2016, 제 9 권(13): pp. 1245-1256
  
  DOI PDF Publication Publication
- Extracting Equivalent SQL from Imperative Code in Database Applications
  
  Venkatesh Emani, Karthik Ramachandra, Subhro Bhattacharya, S. Sudarshan
  
  SIGMOD | June 2016
  
  Publication

- A Case for Graphics-Driven Query Processing
  
  Harish Doraiswamy, Vikas Kalagi, Karthik Ramachandra, Jayant R. Haritsa
  
  Proceedings of the VLDB Endowment | August 2023, 제 16 권(10): pp. 2499-2511
  
  DOI Publication 프로젝트
- Procedural Extensions of SQL: Understanding their usage in the wild
  
  Surabhi Gupta, Karthik Ramachandra
  
  PVLDB | May 2021, 제 14 권(8): pp. 1378-1391
  
  Publication
- Magpie: Python at Speed and Scale using Cloud Backends
  
  Alekh Jindal, Venkatesh Emani, Maureen Daum, Olga Poppe, Brandon Haynes, Anna Pavlenko, Ayushi Gupta, Karthik Ramachandra, Carlo Curino, Andreas C. Müller, Wentao Wu, Hiren Patel
  
  Conference on Innovative Data Systems Research (CIDR 2021) | February 2021
  
  Publication 동영상 동영상
- Aggify: Lifting the Curse of Cursor Loops using Custom Aggregates
  
  Surabhi Gupta, Sanket Purandare, Karthik Ramachandra
  
  ACM SIGMOD 2020 | August 2020
  
  Publication 동영상 프로젝트 프로젝트
- BlackMagic: Automatic Inlining of Scalar UDFs into SQL Queries with Froid
  
  Karthik Ramachandra, Kwanghyun Park
  
  Proceedings of VLDB | August 2019, 제 12 권(12): pp. 1810-1813
  
  Publication 동영상 프로젝트
- Characterizing Resource Sensitivity of Database Workloads
  
  Rathijit Sen, Karthik Ramachandra
  
  High-Performance Computer Architecture | January 2018
  
  Publication
- Froid: Optimization of Imperative Programs in a Relational Database
  
  Karthik Ramachandra, Kwanghyun Park, K. Venkatesh Emani, Alan Halverson, Cesar Galindo-Legaria, Conor Cunningham
  
  Proceedings of VLDB | December 2017, 제 11 권(4)
  
  Publication 동영상 프로젝트
- DBridge: Translating Imperative Code to SQL
  
  Venkatesh Emani, Tejas Deshpande, Karthik Ramachandra, S. Sudarshan
  
  SIGMOD (Demo) | June 2017
  
  Publication
- Not for the timid: on the impact of aggressive over-booking in the cloud
  
  Willis Lang, Karthik Ramachandra, David J. DeWitt, Shize Xu, Qun Guo, Ajay Kalhan, Peter Carlin
  
  Proceedings of the VLDB Endowment | October 2016, 제 9 권(13): pp. 1245-1256
  
  DOI PDF Publication Publication
- Extracting Equivalent SQL from Imperative Code in Database Applications
  
  Venkatesh Emani, Karthik Ramachandra, Subhro Bhattacharya, S. Sudarshan
  
  SIGMOD | June 2016
  
  Publication
- Magpie: Python at Speed and Scale using Cloud Backends
  
  Alekh Jindal, Venkatesh Emani, Maureen Daum, Olga Poppe, Brandon Haynes, Anna Pavlenko, Ayushi Gupta, Karthik Ramachandra, Carlo Curino, Andreas C. Müller, Wentao Wu, Hiren Patel
  
  Conference on Innovative Data Systems Research (CIDR 2021) | February 2021
  
  Publication 동영상 동영상
- DBridge: Translating Imperative Code to SQL
  
  Venkatesh Emani, Tejas Deshpande, Karthik Ramachandra, S. Sudarshan
  
  SIGMOD (Demo) | June 2017
  
  Publication
- Extracting Equivalent SQL from Imperative Code in Database Applications
  
  Venkatesh Emani, Karthik Ramachandra, Subhro Bhattacharya, S. Sudarshan
  
  SIGMOD | June 2016
  
  Publication
- Predictive Provisioning: Efficiently Anticipating Usage in Azure SQL Database
  
  Lalitha Viswanathan, Bikash Chandra, Willis Lang, Karthik Ramachandra, Jignesh M. Patel, Ajay Kalhan, David J. Dewitt, Alan Halverson
  
  International Conference on Data Engineering | April 2017
  
  DOI PDF Publication Publication Publication
- Characterizing Resource Sensitivity of Database Workloads
  
  Rathijit Sen, Karthik Ramachandra
  
  High-Performance Computer Architecture | January 2018
  
  Publication

- A Case for Graphics-Driven Query Processing
  
  Harish Doraiswamy, Vikas Kalagi, Karthik Ramachandra, Jayant R. Haritsa
  
  Proceedings of the VLDB Endowment | August 2023, 제 16 권(10): pp. 2499-2511
  
  DOI Publication 프로젝트
- Procedural Extensions of SQL: Understanding their usage in the wild
  
  Surabhi Gupta, Karthik Ramachandra
  
  PVLDB | May 2021, 제 14 권(8): pp. 1378-1391
  
  Publication
- BlackMagic: Automatic Inlining of Scalar UDFs into SQL Queries with Froid
  
  Karthik Ramachandra, Kwanghyun Park
  
  Proceedings of VLDB | August 2019, 제 12 권(12): pp. 1810-1813
  
  Publication 동영상 프로젝트
- Froid: Optimization of Imperative Programs in a Relational Database
  
  Karthik Ramachandra, Kwanghyun Park, K. Venkatesh Emani, Alan Halverson, Cesar Galindo-Legaria, Conor Cunningham
  
  Proceedings of VLDB | December 2017, 제 11 권(4)
  
  Publication 동영상 프로젝트
- Not for the timid: on the impact of aggressive over-booking in the cloud
  
  Willis Lang, Karthik Ramachandra, David J. DeWitt, Shize Xu, Qun Guo, Ajay Kalhan, Peter Carlin
  
  Proceedings of the VLDB Endowment | October 2016, 제 9 권(13): pp. 1245-1256
  
  DOI PDF Publication Publication
- Magpie: Python at Speed and Scale using Cloud Backends
  
  Alekh Jindal, Venkatesh Emani, Maureen Daum, Olga Poppe, Brandon Haynes, Anna Pavlenko, Ayushi Gupta, Karthik Ramachandra, Carlo Curino, Andreas C. Müller, Wentao Wu, Hiren Patel
  
  Conference on Innovative Data Systems Research (CIDR 2021) | February 2021
  
  Publication 동영상 동영상
- Aggify: Lifting the Curse of Cursor Loops using Custom Aggregates
  
  Surabhi Gupta, Sanket Purandare, Karthik Ramachandra
  
  ACM SIGMOD 2020 | August 2020
  
  Publication 동영상 프로젝트 프로젝트
- Characterizing Resource Sensitivity of Database Workloads
  
  Rathijit Sen, Karthik Ramachandra
  
  High-Performance Computer Architecture | January 2018
  
  Publication
- DBridge: Translating Imperative Code to SQL
  
  Venkatesh Emani, Tejas Deshpande, Karthik Ramachandra, S. Sudarshan
  
  SIGMOD (Demo) | June 2017
  
  Publication
- Predictive Provisioning: Efficiently Anticipating Usage in Azure SQL Database
  
  Lalitha Viswanathan, Bikash Chandra, Willis Lang, Karthik Ramachandra, Jignesh M. Patel, Ajay Kalhan, David J. Dewitt, Alan Halverson
  
  International Conference on Data Engineering | April 2017
  
  DOI PDF Publication Publication Publication
- Extracting Equivalent SQL from Imperative Code in Database Applications
  
  Venkatesh Emani, Karthik Ramachandra, Subhro Bhattacharya, S. Sudarshan
  
  SIGMOD | June 2016
  
  Publication

Karthik Ramachandra

출판물

A Case for Graphics-Driven Query Processing

Procedural Extensions of SQL: Understanding their usage in the wild

Magpie: Python at Speed and Scale using Cloud Backends

Aggify: Lifting the Curse of Cursor Loops using Custom Aggregates

BlackMagic: Automatic Inlining of Scalar UDFs into SQL Queries with Froid

Characterizing Resource Sensitivity of Database Workloads

Froid: Optimization of Imperative Programs in a Relational Database

DBridge: Translating Imperative Code to SQL

Predictive Provisioning: Efficiently Anticipating Usage in Azure SQL Database

Not for the timid: on the impact of aggressive over-booking in the cloud

Extracting Equivalent SQL from Imperative Code in Database Applications

A Case for Graphics-Driven Query Processing

Procedural Extensions of SQL: Understanding their usage in the wild

Magpie: Python at Speed and Scale using Cloud Backends

Aggify: Lifting the Curse of Cursor Loops using Custom Aggregates

BlackMagic: Automatic Inlining of Scalar UDFs into SQL Queries with Froid

Characterizing Resource Sensitivity of Database Workloads

Froid: Optimization of Imperative Programs in a Relational Database

DBridge: Translating Imperative Code to SQL

Not for the timid: on the impact of aggressive over-booking in the cloud

Extracting Equivalent SQL from Imperative Code in Database Applications

Magpie: Python at Speed and Scale using Cloud Backends

DBridge: Translating Imperative Code to SQL

Extracting Equivalent SQL from Imperative Code in Database Applications

Predictive Provisioning: Efficiently Anticipating Usage in Azure SQL Database

Characterizing Resource Sensitivity of Database Workloads

A Case for Graphics-Driven Query Processing

Procedural Extensions of SQL: Understanding their usage in the wild

BlackMagic: Automatic Inlining of Scalar UDFs into SQL Queries with Froid

Froid: Optimization of Imperative Programs in a Relational Database

Not for the timid: on the impact of aggressive over-booking in the cloud

Magpie: Python at Speed and Scale using Cloud Backends

Aggify: Lifting the Curse of Cursor Loops using Custom Aggregates

Characterizing Resource Sensitivity of Database Workloads

DBridge: Translating Imperative Code to SQL

Predictive Provisioning: Efficiently Anticipating Usage in Azure SQL Database

Extracting Equivalent SQL from Imperative Code in Database Applications