Carlo Curino
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
57
Venues
18
Active years
2005–2026
Best venue rank
A*
Where they publish
Papers
57 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CIDR | I Can't Believe It's Not Yannakakis: Pragmatic Bitmap Filters in Microsoft SQL Server. | Hangdong Zhao, Yuanyuan Tian, Rana Alotaibi, Bailu Ding, Nicolas Bruno, Jess Camacho-Rodrguez, Vassilis Papadimos, Ernesto Cervantes Jurez, Csar A. Galindo-Legaria, Carlo Curino |
| 2026 | SIGMOD | CoddSpeed: Hardware Accelerated Query Processing in Microsoft Fabric. | Matteo Interlandi, Nicolas Bruno, Brandon Haynes, Carlo Curino, Rathijit Sen, Yinan Li, Kaushik Rajan, Bailu Ding, Lukas M. Maas, Wei Cui, Kevin Gaffney, Mingsheng Hong, Brian Kroth, Sampath Rajendra, Peng Cheng, Surajit Chaudhuri, Johannes Gehrke, Raghu Ramakrishnan, Lidong Zhou, Momin Al-Ghosien, Craig Peeper, Marius Dumitru, Conor Cunningham, Kevin Bocksrocker, Prasanna Sundar, Ron Boskovic, YongChul Kwon, Marko Zivanovic, Runbin Shi, Krystian Sakowski, Denis Lamtsov, Josep Aguilar-Saborit, Krish Srinivasan, Adarsh Kapil, Andrew Putnam, Anudeep Kambapu, Aparna Konduri, Aaron Landy, Aaron Moore, Aaron Pitman, Artem Oks, Ashit Gosalia, Babu Kandimalla, Blake Pelton, Bogdan Crivat, Csar A. Galindo-Legaria, Chidamber Kulkarni, Jess Camacho-Rodrguez, Evgeny Babin, Hans Lehnert Marino, Igor Konev, Israel Arroyo, Luis Pearanda, Mandar Datar, Morten Borup Petersen, Nicholas Simmons, Parminder Poonian, Pravija Danda, Rob Rydberg, Esteban Calvo Vargas, Ronak Bajaj, Sai Sumanth Kammal Shetty, Sharanya Bhat, Zach Iracheta |
| 2025 | CIDR | Towards Query Optimizer as a Service (QOaaS) in a Unified LakeHouse Platform: Can One QO Rule Them All? | Yuanyuan Tian, Jess Camacho-Rodrguez, Carlo Curino, Csar A. Galindo-Legaria, Ashit Gosalia, Brian Kroth, Sergiy Matusevych, Nicolas Bruno, Ashvin Agrawal, Stefan Grafberger, Beysim Sezgin, Milan Potocnik, Mahesh Behera, Milind Joshi, Xiaoyu Li |
| 2025 | ICLR | MotherNet: Fast Training and Inference via Hyper-Network Transformers. | Andreas C. Mueller, Carlo Curino, Raghu Ramakrishnan |
| 2025 | SIGMOD | AutoComp: Automated Data Compaction for Log-Structured Tables in Data Lakes. | Anja Gruenheid, Jess Camacho-Rodrguez, Carlo Curino, Raghu Ramakrishnan, Stanislav Pak, Sumedh Sakdeo, Lenisha Gandhi, Sandeep K. Singhal, Pooja Nilangekar, Daniel J. Abadi |
| 2025 | SIGMOD | Rockhopper: A Robust Optimizer for Spark Configuration Tuning in Production Environment. | Yiwen Zhu, Rathijit Sen, Brian Kroth, Sergiy Matusevych, Andreas C. Mueller, Tengfei Huang, Rahul Challapalli, Weihan Tang, Xin He, Mo Liu, Estera Kot, Sule Kahraman, Arshdeep Sekhon, Dario Bernal, Aditya Lakra, Shaily Fozdar, Dhruv Relwani, Rui Fang, Long Tian, Karuna Sagar Krishna, Ashit Gosalia, Carlo Curino, Subru Krishnan |
| 2024 | CIDR | NL2SQL is a solved problem... Not! | Avrilia Floratou, Fotis Psallidas, Fuheng Zhao, Shaleen Deep, Gunther Hagleither, Wangda Tan, Joyce Cahoon, Rana Alotaibi, Jordan Henkel, Abhik Singla, Alex Van Grootel, Brandon Chow, Kai Deng, Katherine Lin, Marcos Campos, K. Venkatesh Emani, Vivek Pandit, Victor Shnayder, Wenjing Wang, Carlo Curino |
| 2024 | EDBT | PyFroid: Scaling Data Analysis on a Commodity Workstation. | K. Venkatesh Emani, Avrilia Floratou, Carlo Curino |
| 2024 | SIGMOD | AI for Systems. | Carlo Curino, Raghu Ramakrishnan |
| 2023 | CIDR | The Tensor Data Platform: Towards an AI-centric Database System. | Apurva Gandhi, Yuki Asada, Victor Fu, Advitya Gemawat, Lihao Zhang, Rathijit Sen, Carlo Curino, Jess Camacho-Rodrguez, Matteo Interlandi |
| 2023 | SIGMOD | Towards Building Autonomous Data Services on Azure. | Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon, Subru Krishnan, Ankita Agarwal, Rana Alotaibi, Jess Camacho-Rodrguez, Bibin Chundatt, Andrew Chung, Niharika Dutta, Andrew Fogarty, Anja Gruenheid, Brandon Haynes, Matteo Interlandi, Minu Iyer, Nick Jurgens, Sumeet Khushalani, Brian Kroth, Manoj Kumar, Jyoti Leeka, Sergiy Matusevych, Minni Mittal, Andreas Mller, Kartheek Muthyala, Harsha Nagulapalli, Yoonjae Park, Hiren Patel, Anna Pavlenko, Olga Poppe, Santhosh Ravindran, Karla Saur, Rathijit Sen, Steve Suh, Arijit Tarafdar, Kunal Waghray, Demin Wang, Carlo Curino, Raghu Ramakrishnan |
| 2023 | VLDB | PolySem: Efficient Polyglot Analytics on Semantic Data. | Xinyu Liu, K. Venkatesh Emani, Avrilia Floratou, Joyce Cahoon, Philip Seamark, Carlo Curino |
| 2021 | CIDR | Magpie: Python at Speed and Scale using Cloud Backends. | Alekh Jindal, K. Venkatesh Emani, Maureen Daum, Olga Poppe, Brandon Haynes, Anna Pavlenko, Ayushi Gupta, Karthik Ramachandra, Carlo Curino, Andreas Mller, Wentao Wu, Hiren Patel |
| 2021 | SIGMOD | KEA: Tuning an Exabyte-Scale Data Infrastructure. | Yiwen Zhu, Subru Krishnan, Konstantinos Karanasos, Isha Tarte, Conor Power, Abhishek Modi, Manoj Kumar, Deli Zhang, Kartheek Muthyala, Nick Jurgens, Sarvesh Sakalanaga, Sudhir Darbha, Minu Iyer, Ankita Agarwal, Carlo Curino |
| 2020 | CIDR | Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML. | Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu |
| 2020 | CIDR | Extending Relational Query Processing with ML Inference. | Konstantinos Karanasos, Matteo Interlandi, Fotis Psallidas, Rathijit Sen, Kwanghyun Park, Ivan Popivanov, Doris Xin, Supun Nakandala, Subru Krishnan, Markus Weimer, Yuan Yu, Raghu Ramakrishnan, Carlo Curino |
| 2020 | ICDE | Kaskade: Graph Views for Efficient Graph Analytics. | Joana M. F. da Trindade, Konstantinos Karanasos, Carlo Curino, Samuel Madden, Julian Shun |
| 2020 | OSDI | Unearthing inter-job dependencies for better cluster scheduling. | Andrew Chung, Subru Krishnan, Konstantinos Karanasos, Carlo Curino, Gregory R. Ganger |
| 2020 | OSDI | A Tensor Compiler for Unified Machine Learning Prediction Serving. | Supun Nakandala, Karla Saur, Gyeong-In Yu, Konstantinos Karanasos, Carlo Curino, Markus Weimer, Matteo Interlandi |
| 2020 | SIGMOD | MLOS: An Infrastructure for Automated Software Performance Engineering. | Carlo Curino, Neha Godwal, Brian Kroth, Sergiy Kuryata, Greg Lapinski, Siqi Liu, Slava Oks, Olga Poppe, Adam Smiechowski, Ed Thayer, Markus Weimer, Yiwen Zhu |
| 2019 | CLOUD | Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms. | Liqun Shao, Yiwen Zhu, Siqi Liu, Abhiram Eswaran, Kristin Lieber, Janhavi Suresh Mahajan, Minsoo Thigpen, Sudhir Darbha, Subru Krishnan, Soundar Srinivasan, Carlo Curino, Konstantinos Karanasos |
| 2019 | NSDI | Hydra: a federated resource manager for data-center scale analytics. | Carlo Curino, Subru Krishnan, Konstantinos Karanasos, Sriram Rao, Giovanni Matteo Fumarola, Botong Huang, Kishore Chaliparambil, Arun Suresh, Young Chen, Solom Heddaya, Roni Burd, Sarvesh Sakalanaga, Chris Douglas, Bill Ramsey, Raghu Ramakrishnan |
| 2019 | SIGMOD | Peering through the Dark: An Owl's View of Inter-job Dependencies and Jobs' Impact in Shared Clusters. | Andrew Chung, Carlo Curino, Subru Krishnan, Konstantinos Karanasos, Panagiotis Garefalakis, Gregory R. Ganger |
| 2017 | CIDR | Dependency-Driven Analytics: A Compass for Uncharted Data Oceans. | Ruslan Mavlyutov, Carlo Curino, Boris Asipov, Philippe Cudr-Mauroux |
| 2017 | WWW | ERA: A Framework for Economic Resource Allocation for the Cloud. | Moshe Babaioff, Yishay Mansour, Noam Nisan, Gali Noti, Carlo Curino, Nar Ganapathy, Ishai Menache, Omer Reingold, Moshe Tennenholtz, Erez Timnat |
| 2016 | CLOUD | PerfOrator: eloquent performance models for Resource Optimization. | Kaushik Rajan, Dharmesh Kakadia, Carlo Curino, Subru Krishnan |
| 2016 | OSDI | Morpheus: Towards Automated SLOs for Enterprise Clusters. | Sangeetha Abdu Jyothi, Carlo Curino, Ishai Menache, Shravan Matthur Narayanamurthy, Alexey Tumanov, Jonathan Yaniv, Ruslan Mavlyutov, Iigo Goiri, Subru Krishnan, Janardhan Kulkarni, Sriram Rao |
| 2015 | CIDR | WANalytics: Analytics for a Geo-Distributed Data-Intensive World. | Ashish Vulimiri, Carlo Curino, Brighten Godfrey, Konstantinos Karanasos, George Varghese |
| 2015 | ICDE | Blind men and an elephant coalescing open-source, academic, and industrial perspectives on BigData. | Chris Douglas, Carlo Curino |
| 2015 | NSDI | Global Analytics in the Face of Bandwidth and Regulatory Constraints. | Ashish Vulimiri, Carlo Curino, Philip Brighten Godfrey, Thomas Jungblut, Jitu Padhye, George Varghese |
| 2015 | SIGMOD | BenchPress: Dynamic Workload Control in the OLTP-Bench Testbed. | Dana Van Aken, Djellel Eddine Difallah, Andrew Pavlo, Carlo Curino, Philippe Cudr-Mauroux |
| 2015 | SIGMOD | Apache Tez: A Unifying Framework for Modeling and Building Data Processing Applications. | Bikas Saha, Hitesh Shah, Siddharth Seth, Gopal Vijayaraghavan, Arun C. Murthy, Carlo Curino |
| 2015 | SIGMOD | WANalytics: Geo-Distributed Analytics for a Data Intensive World. | Ashish Vulimiri, Carlo Curino, Philip Brighten Godfrey, Thomas Jungblut, Konstantinos Karanasos, Jitendra Padhye, George Varghese |
| 2015 | SIGMOD | REEF: Retainable Evaluator Execution Framework. | Markus Weimer, Yingda Chen, Byung-Gon Chun, Tyson Condie, Carlo Curino, Chris Douglas, Yunseong Lee, Tony Majestro, Dahlia Malkhi, Sergiy Matusevych, Brandon Myers, Shravan M. Narayanamurthy, Raghu Ramakrishnan, Sriram Rao, Russell Sears, Beysim Sezgin, Julia Wang |
| 2015 | USENIX | Mercury: Hybrid Centralized and Distributed Scheduling in Large Shared Clusters. | Konstantinos Karanasos, Sriram Rao, Carlo Curino, Chris Douglas, Kishore Chaliparambil, Giovanni Matteo Fumarola, Solom Heddaya, Raghu Ramakrishnan, Sarvesh Sakalanaga |
| 2014 | CLOUD | Reservation-based Scheduling: If You're Late Don't Blame Us! | Carlo Curino, Djellel Eddine Difallah, Chris Douglas, Subru Krishnan, Raghu Ramakrishnan, Sriram Rao |
| 2013 | CIDR | DBSeer: Resource and Performance Prediction for Building a Next Generation Database Cloud. | Barzan Mozafari, Carlo Curino, Samuel Madden |
| 2013 | CLOUD | Apache Hadoop YARN: yet another resource negotiator. | Vinod Kumar Vavilapalli, Arun C. Murthy, Chris Douglas, Sharad Agarwal, Mahadev Konar, Robert Evans, Thomas Graves, Jason Lowe, Hitesh Shah, Siddharth Seth, Bikas Saha, Carlo Curino, Owen O'Malley, Sanjay Radia, Benjamin C. Reed, Eric Baldeschwieler |
| 2013 | SIGMOD | Performance and resource modeling in highly-concurrent OLTP workloads. | Barzan Mozafari, Carlo Curino, Alekh Jindal, Samuel Madden |
| 2012 | CIKM | Benchmarking OLTP/web databases in the cloud: the OLTP-bench framework. | Carlo Curino, Djellel Eddine Difallah, Andrew Pavlo, Philippe Cudr-Mauroux |
| 2012 | ICDE | Lookup Tables: Fine-Grained Partitioning for Distributed Databases. | Aubrey Tatarowicz, Carlo Curino, Evan P. C. Jones, Sam Madden |
| 2012 | Mobisys | Mobius: unified messaging and data serving for mobile apps. | Byung-Gon Chun, Carlo Curino, Russell Sears, Alexander Shraer, Samuel Madden, Raghu Ramakrishnan |
| 2012 | SIGMOD | Skew-aware automatic database partitioning in shared-nothing, parallel OLTP systems. | Andrew Pavlo, Carlo Curino, Stanley B. Zdonik |
| 2011 | CIDR | Relational Cloud: a Database Service for the cloud. | Carlo Curino, Evan P. C. Jones, Raluca A. Popa, Nirmesh Malviya, Eugene Wu, Samuel Madden, Hari Balakrishnan, Nickolai Zeldovich |
| 2011 | CIDR | No bits left behind. | Eugene Wu, Carlo Curino, Samuel Madden |
| 2011 | SIGMOD | Workload-aware database monitoring and consolidation. | Carlo Curino, Evan P. C. Jones, Samuel Madden, Hari Balakrishnan |
| 2010 | SIGMOD | Scalable architecture and query optimization fortransaction-time DBs with evolving schemas. | Hyun Jin Moon, Carlo Curino, Carlo Zaniolo |
| 2009 | FQAS | Accessing and Documenting Relational Databases through OWL Ontologies. | Carlo Curino, Giorgio Orsi, Emanuele Panigati, Letizia Tanca |
| 2009 | ICDE | The PRISM Workwench: Database Schema Evolution without Tears. | Carlo Curino, Hyun Jin Moon, MyungWon Ham, Carlo Zaniolo |
| 2009 | SIGMOD | PRIMA: archiving and querying historical data with evolving schemas. | Hyun Jin Moon, Carlo Curino, MyungWon Ham, Carlo Zaniolo |
| 2008 | ASPDAC | The Shining embedded system design methodology based on self dynamic reconfigurable architectures. | Carlo Curino, Luca Fossati, Vincenzo Rana, Francesco Redaelli, Marco D. Santambrogio, Donatella Sciuto |
| 2008 | ER | Managing the History of Metadata in Support for DB Archiving and Schema Evolution. | Carlo Curino, Hyun Jin Moon, Carlo Zaniolo |
| 2007 | MDM | CADD: A Tool for Context Modeling and Data Tailoring. | Cristiana Bolchini, Carlo Curino, Giorgio Orsi, Elisa Quintarelli, Fabio Alberto Schreiber, Letizia Tanca |
| 2006 | ICDE | Ontology-Based Information Tailoring. | Carlo Curino, Elisa Quintarelli, Letizia Tanca |
| 2006 | MDM | Context Integration for Mobile Data Tailoring. | Cristiana Bolchini, Carlo Curino, Fabio Alberto Schreiber, Letizia Tanca |
| 2005 | CIKM | Mining officially unrecognized side effects of drugs by combining web search and machine learning. | Carlo Curino, Yuanyuan Jia, Bruce Lambert, Patricia M. West, Clement T. Yu |
| 2005 | PERCOM | TinyLIME: Bridging Mobile and Sensor Networks through Middleware. | Carlo Curino, Matteo Giani, Marco Giorgetta, Alessandro Giusti, Amy L. Murphy, Gian Pietro Picco |