RAY A. O. SINURAT [CV]

• SysX: Taming I/O Optimization for Deep Learning at Scale

  Anonymous Author(s)

  In Preparation.

2025

• AERIS: Argonne Earth Systems Model for Reliable and Skillful Predictions

  Väinö Hatanpää, Eugene Ku, Jason Stock, Murali Emani, Sam Foreman, Chunyong Jung, Sandeep Madireddy, Tung Nguyen, Varuni Sastry, Ray A. O. Sinurat, Huihuo Zheng, Sam Wheeler, Troy Arcomano, Venkatram Vishwanath, Rao Kotamarthi

  Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC'25) -- Finalists of ACM Gordon Bell Prize for Climate Modeling

• Heimdall: Optimizing Storage I/O Admission with Extensive Machine Learning Pipeline

  Daniar H. Kurniawan, Rani Ayu Putri, Peiran Qin, Kahfi S. Zulkifli, Ray A. O. Sinurat, Janki Bhimani, Sandeep Madireddy, Achmad Imam Kistijantoro, Haryadi S. Gunawi

  Proceedings of the 20th edition of EuroSys (EuroSys'25)

2023

• StorRep: Storage Research Experiment Patterns on Chameleon Cloud and Trovi

  Yuyang Huang*, Ray A. O. Sinurat*, Nanqinqin Li, Mark Powers, Michael Sherman, Kate Keahey, Haryadi S. Gunawi

  Manuscript Ready.

2022

• Towards Continually Learning Application Performance Models

  Ray A. O. Sinurat, Anurag Daram, Haryadi S. Gunawi, Robert B. Ross, Sandeep Madireddy

  Workshop on ML for Systems at NeurIPS (MLFS'22)

• Layered And Uniform Contention Mitigation Capabilities For Cloud Storage

  Meng Wang, Cesar A. Stuardo, Daniar H. Kurniawan, Ray A. O. Sinurat, Haryadi S. Gunawi

  Proceedings of the 15th IEEE International Conference on Cloud Computing (IEEE CLOUD '22)

2021

• Notification and Prediction of Heap Management Pauses in Managed Languages for Latency Stable Systems

  Daniar H. Kurniawan, Cesar A. Stuardo, Ray A. O. Sinurat, and Haryadi S. Gunawi

  University of Chicago Technical Report (TR'21)

*The authors contribute an equal amount of work and are sorted alphabetically based on their last names