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 (MEMSYS, 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 001; Guojing Cong; Carlos H. A. Costa; Johann Dahm; Giacomo Domeniconi; et al. (SC, 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; et al. (SC, 2019)

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)

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; et al. (SC, 2021)

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 (ISC Workshops, 2023)

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 (Euro-Par (1), 2024)