Vijay Gadepally
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
15
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ASPLOS | DarwinGame: Playing Tournaments for Tuning Applications in Noisy Cloud Environments. | Rohan Basu Roy, Vijay Gadepally, Devesh Tiwari |
| 2025 | SC | GreenMix: Energy-Efficient Serverless Computing via Randomized Sketching on Asymmetric Multi-Cores. | Rohan Basu Roy, Tirthak Patel, Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari |
| 2024 | EMNLP | Sprout: Green Generative AI with Carbon-Efficient LLM Inference. | Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari |
| 2024 | SC | HPC with Enhanced User Separation. | Andrew Prout, Albert Reuther, Michael Houle, Michael Jones, Peter Michaleas, LaToya Anderson, William Arcand, Bill Bergeron, David Bestor, Alex Bonn, Daniel Burrill, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Hayden Jananthan, Piotr Luszczek, Lauren Milechin, Guillermo Morales, Julie Mullen, Antonio Rosa, Charles Yee, Jeremy Kepner |
| 2023 | CLOUD | Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale. | Dan Zhao, Siddharth Samsi, Joseph McDonald, Baolin Li, David Bestor, Michael Jones, Devesh Tiwari, Vijay Gadepally |
| 2023 | HPDC | Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources. | Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari |
| 2023 | SC | Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC Systems. | Baolin Li, Rohan Basu Roy, Daniel Wang, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari |
| 2023 | SC | Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service. | Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari |
| 2022 | CIDR | Examples are All You Need: Iterative Data Discovery by Example in Data Lakes. | El Kindi Rezig, Anshul Bhandari, Anna Fariha, Benjamin Price, Allan Vanterpool, Andrew Bowne, Lindsey McEvoy, Vijay Gadepally |
| 2022 | CLOUD | MISO: exploiting multi-instance GPU capability on multi-tenant GPU clusters. | Baolin Li, Tirthak Patel, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari |
| 2022 | HPCA | AI-Enabling Workloads on Large-Scale GPU-Accelerated System: Characterization, Opportunities, and Implications. | Baolin Li, Rohin Arora, Siddharth Samsi, Tirthak Patel, William Arcand, David Bestor, Chansup Byun, Rohan Basu Roy, Bill Bergeron, John T. Holodnak, Michael Houle, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Peter Michaleas, Joseph McDonald, Lauren Milechin, Julie Mullen, Andrew Prout, Benjamin Price, Albert Reuther, Antonio Rosa, Matthew L. Weiss, Charles Yee, Daniel Edelman, Allan Vanterpool, Anson Cheng, Vijay Gadepally, Devesh Tiwari |
| 2022 | ICDE | ExSample: Efficient Searches on Video Repositories through Adaptive Sampling. | Oscar R. Moll, Favyen Bastani, Sam Madden, Mike Stonebraker, Vijay Gadepally, Tim Kraska |
| 2022 | ICDE | ExSample: Efficient Searches on Video Repositories through Adaptive Sampling. | Oscar R. Moll, Favyen Bastani, Sam Madden, Mike Stonebraker, Vijay Gadepally, Tim Kraska |
| 2022 | NAACL | Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models. | Joseph McDonald, Baolin Li, Nathan C. Frey, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi |
| 2022 | PPoPP | Mashup: making serverless computing useful for HPC workflows via hybrid execution. | Rohan Basu Roy, Tirthak Patel, Vijay Gadepally, Devesh Tiwari |
| 2021 | PLDI | Bliss: auto-tuning complex applications using a pool of diverse lightweight learning models. | Rohan Basu Roy, Tirthak Patel, Vijay Gadepally, Devesh Tiwari |
| 2021 | SC | RIBBON: cost-effective and qos-aware deep learning model inference using a diverse pool of cloud computing instances. | Baolin Li, Rohan Basu Roy, Tirthak Patel, Vijay Gadepally, Karen Gettings, Devesh Tiwari |
| 2020 | ICASSP | Classifying Anomalies for Network Security. | Emily H. Do, Vijay Gadepally |
| 2018 | VLDB | FastDAWG: Improving Data Migration in the BigDAWG Polystore System. | Xiangyao Yu, Vijay Gadepally, Stan Zdonik, Tim Kraska, Michael Stonebraker |
| 2017 | CIDR | Demonstrating the BigDAWG Polystore System for Ocean Metagenomics Analysis. | Tim Mattson, Vijay Gadepally, Zuohao She, Adam Dziedzic, Jeff Parkhurst |
| 2017 | VLDB | An Emerging Role for Polystores in Precision Medicine. | Edmon Begoli, James Blair Christian, Vijay Gadepally, Stavros Papadopoulos |
| 2017 | SP | SoK: Cryptographically Protected Database Search. | Benjamin Fuller, Mayank Varia, Arkady Yerukhimovich, Emily Shen, Ariel Hamlin, Vijay Gadepally, Richard Shay, John Darby Mitchell, Robert K. Cunningham |
| 2015 | ACSSC | Sampling operations on big data. | Vijay Gadepally, Taylor Herr, Luke Johnson, Lauren Milechin, Maja Milosavljevic, Benjamin A. Miller |