A Codesign Framework for Online Data Analysis and Reduction. - Kshitij Mehta; Ian T. Foster; Scott Klasky; Bryce Allen; Matthew Wolf; Jeremy Logan; Eric Suchyta; Jong Choi 001; Keichi Takahashi; Igor Yakushin; Todd S. Munson (WORKS@SC, 2019)

Feature-preserving Lossy Compression for In Situ Data Analysis. - Igor Yakushin; Kshitij Mehta; Jieyang Chen; Matthew Wolf; Ian T. Foster; Scott Klasky; Todd S. Munson (ICPP Workshops, 2020)

Achieving 100X faster simulations of complex biological phenomena by coupling ML to HPC ensembles. - Alexander Brace; Hyungro Lee; Heng Ma; Anda Trifan; Matteo Turilli; Igor Yakushin; Todd S. Munson; Ian T. Foster; Shantenu Jha; Arvind Ramanathan (CoRR, 2021)

Online data analysis and reduction: An important Co-design motif for extreme-scale computers. - Ian T. Foster; Mark Ainsworth; Julie Bessac; Franck Cappello; Jong Choi 001; Sheng Di; Zichao Wendy Di; Ali Murat Gok; Hanqi Guo 001; Kevin A. Huck; Christopher Kelly; Scott Klasky; et al. (Int. J. High Perform. Comput. Appl., 2021)

coherent WaveBurst, a pipeline for unmodeled gravitational-wave data analysis. - Marco Drago; Sergey Klimenko; Claudia Lazzaro; Edoardo Milotti; Guenakh Mitselmakher; Valentin Necula; Brendan O'Brian; Giovanni Andrea Prodi; Francesco Salemi; Marek J. Szczepanczyk; Shubhanshu Tiwari; Vaibhav Tiwari; et al. (SoftwareX, 2021)

Coupling streaming AI and HPC ensembles to achieve 100-1000× faster biomolecular simulations. - Alexander Brace; Igor Yakushin; Heng Ma; Anda Trifan; Todd S. Munson; Ian T. Foster; Arvind Ramanathan; Hyungro Lee; Matteo Turilli; Shantenu Jha (IPDPS, 2022)

A codesign framework for online data analysis and reduction. - Kshitij Mehta; Bryce Allen; Matthew Wolf; Jeremy Logan; Eric Suchyta; Swati Singhal; Jong Youl Choi; Keichi Takahashi; Kevin A. Huck; Igor Yakushin; Alan Sussman; Todd S. Munson; et al. (Concurr. Comput. Pract. Exp., 2022)