Sara Kokkila Schumacher

According to our database, Sara Kokkila Schumacher authored at least 12 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Towards an Adaptive Runtime System for Cloud-Native HPC.

Aditya Bhosale, Advait Tahilyani, Laxmikant V. Kalé, Sara Kokkila Schumacher

CoRR, March, 2026

2025

An elastic job scheduler for HPC applications on the cloud.

Aditya Bhosale, Kavitha Chandrasekar, Laxmikant V. Kalé, Sara Kokkila Schumacher

Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, 2025

The Cloud, Like Building and Running Go Binaries.

Diana Arroyo, Paul Castro, Thuan Doan, Nick Mitchell, Sara Kokkila Schumacher, Ed Seabolt, Aleksander Slominski, Ansu Varghese, Lionel Villard, Cora Coleman

Proceedings of the 45th IEEE International Conference on Distributed Computing Systems, 2025

Efficient and Cost-Effective HPC on the Cloud.

Aditya Bhosale, Laxmikant V. Kalé, Sara Kokkila Schumacher

Proceedings of the 34th International Symposium on High-Performance Parallel and Distributed Computing, 2025

Lowering the Barrier: A Science Gateway for Scalable Machine Learning.

Vismayak Mohanarajan, Luigi Marini, Kenton McHenry, Sara Kokkila Schumacher, Carlos Costa, Amal Shehan Perera, Anna K. Liljedahl

Proceedings of the IEEE International Conference on eScience, 2025

2024

Automated Data Management and Learning-Based Scheduling for Ray-Based Hybrid HPC-Cloud Systems.

Tingkai Liu, Huili Tao, Yicheng Lu, Zhongbo Zhu, Marquita Ellis, Sara Kokkila Schumacher, Volodymyr V. Kindratenko

Proceedings of the Euro-Par 2024: Parallel Processing, 2024

2023

Cloud-Bursting and Autoscaling for Python-Native Scientific Workflows Using Ray.

Tingkai Liu, Marquita Ellis, Carlos H. A. Costa, Claudia Misale, Sara Kokkila Schumacher, Jinwook Jung, Gi-Joon Nam, Volodymyr V. Kindratenko

Proceedings of the High Performance Computing, 2023

2021

Generalizable coordination of large multiscale workflows: challenges and learnings at scale.

Harsh Bhatia, Francesco Di Natale, Joseph Y. Moon, Xiaohua Zhang, Joseph R. Chavez, Fikret Aydin, Christopher B. Stanley, Tomas Oppelstrup, Chris Neale, Sara Kokkila Schumacher, Dong H. Ahn, Stephen Herbein, Timothy S. Carpenter, Sandrasegaram Gnanakaran, Peer-Timo Bremer, James N. Glosli, Felice C. Lightstone, Helgi I. Ingólfsson

Proceedings of the International Conference for High Performance Computing, 2021

2020

Sierra Center of Excellence: Lessons learned.

Johann Dahm, David F. Richards, Aaron Black, Adam Bertsch, Leopold Grinberg, Ian Karlin, Sara Kokkila Schumacher, Edgar A. León, Rob Neely, Ramesh Pankajakshan, Olga Pearce

IBM J. Res. Dev., 2020

2019

A massively parallel infrastructure for adaptive multiscale simulations: modeling RAS initiation pathway for cancer.

Francesco Di Natale, Harsh Bhatia, Timothy S. Carpenter, Chris Neale, Sara Kokkila Schumacher, Tomas Oppelstrup, Liam Stanton, Xiaohua Zhang, Shiv Sundram, Thomas R. W. Scogland, Gautham Dharuman, Michael P. Surh, Yue Yang, Claudia Misale, Lars Schneidenbach, Carlos H. A. Costa, Changhoan Kim, Bruce D'Amora, Sandrasegaram Gnanakaran, Dwight V. Nissley, Frederick H. Streitz, Felice C. Lightstone, Peer-Timo Bremer, James N. Glosli, Helgi I. Ingólfsson

Proceedings of the International Conference for High Performance Computing, 2019

Preparation and optimization of a diverse workload for a large-scale heterogeneous system.

Ian Karlin, Yoonho Park, Bronis R. de Supinski, Peng Wang, Bert Still, David Beckingsale, Robert Blake, Tong Chen, Guojing Cong, Carlos H. A. Costa, Johann Dahm, Giacomo Domeniconi, Thomas Epperly, Aaron Fisher, Sara Kokkila Schumacher, Steven H. Langer, Hai Le, Eun Kyung Lee, Naoya Maruyama, Xinyu Que, David F. Richards, Björn Sjögreen, Jonathan Wong, Carol S. Woodward, Ulrike Meier Yang, Xiaohua Zhang, Bob Anderson, David Appelhans, Levi Barnes, Peter D. Barnes Jr., Sorin Bastea, David Böhme, Jamie A. Bramwell, James M. Brase, José R. Brunheroto, Barry Chen, Charway R. Cooper, Tony Degroot, Robert D. Falgout, Todd Gamblin, David J. Gardner, James N. Glosli, John A. Gunnels, Max P. Katz, Tzanio V. Kolev, I-Feng W. Kuo, Matthew P. LeGendre, Ruipeng Li, Pei-Hung Lin, Shelby Lockhart, Kathleen McCandless, Claudia Misale, Jaime H. Moreno, Rob Neely, Jarom Nelson, Rao Nimmakayala, Kathryn M. O'Brien, Kevin O'Brien, Ramesh Pankajakshan, Roger Pearce, Slaven Peles, Phil Regier, Steven C. Rennich, Martin Schulz, Howard Scott, James C. Sexton, Kathleen Shoga, Shiv Sundram, Guillaume Thomas-Collignon, Brian Van Essen, Alexey Voronin, Bob Walkup, Lu Wang, Chris Ward, Hui-Fang Wen, Daniel A. White, Christopher Young, Cyril Zeller, Edward Zywicz

Proceedings of the International Conference for High Performance Computing, 2019

Data broker: a case for workflow enablement using a key/value approach.

Lars Schneidenbach, Bruce D'Amora, Claudia Misale, Carlos H. A. Costa, Sara Kokkila Schumacher, Thomas Ward

Proceedings of the International Symposium on Memory Systems, 2019