Towards Online Steering of Flame Spray Pyrolysis Nanoparticle Synthesis. - Maksim Levental; Ryan Chard; Joseph A. Libera; Kyle Chard; Aarthi Koripelly; Jakob R. Elias; Marcus Schwarting; Ben Blaiszik; Marius Stan; Santanu Chaudhuri; Ian T. Foster (XLOOP@SC, 2020)

Comparing the costs of abstraction for DL frameworks. - Maksim Levental; Elena Orlova (CoRR, 2020)

Confluence of Artificial Intelligence and High Performance Computing for Accelerated, Scalable and Reproducible Gravitational Wave Detection. - Eliu A. Huerta; Asad Khan; Xiaobo Huang; Minyang Tian; Maksim Levental; Ryan Chard; Wei Wei 021; Maeve Heflin; Daniel S. Katz; Volodymyr V. Kindratenko; Dawei Mu; Ben Blaiszik; et al. (CoRR, 2020)

Ultrafast Focus Detection for Automated Microscopy. - Maksim Levental; Ryan Chard; Kyle Chard; Ian T. Foster; Gregg A. Wildenberg (e-Science, 2021)

A Hardware Co-design Workflow for Scientific Instruments at the Edge. - Kazutomo Yoshii; Rajesh Sankaran; Sebastian Strempfer; Maksim Levental; Mike Hammer; Antonino Miceli (SMC, 2021)

Tensor Networks for Simulating Quantum Circuits on FPGAs. - Maksim Levental (CoRR, 2021)

Ultrafast Focus Detection for Automated Microscopy. - Maksim Levental; Ryan Chard; Gregg A. Wildenberg (CoRR, 2021)

Memory Planning for Deep Neural Networks. - Maksim Levental (CoRR, 2022)

Real-Time Streaming and Event-driven Control of Scientific Experiments. - Jakob R. Elias; Ryan Chard; Maksim Levental; Zhengchun Liu; Ian T. Foster; Santanu Chaudhuri (CoRR, 2022)

Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. - Nathaniel Hudson; J. Gregory Pauloski; Matt Baughman; Alok Kamatar; Mansi Sakarvadia; Logan T. Ward; Ryan Chard; André Bauer 001; Maksim Levental; Wenyi Wang; Will Engler; Owen Price Skelly; et al. (BDCAT, 2023)

OpenHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science. - Maksim Levental; Arham Khan; Ryan Chard; Kazutomo Yoshii; Kyle Chard; Ian T. Foster (CoRR, 2023)

nelli: a lightweight frontend for MLIR. - Maksim Levental; Alok Kamatar; Ryan Chard; Nicolas Vasilache; Kyle Chard; Ian T. Foster (CoRR, 2023)

An End-to-End Programming Model for AI Engine Architectures. - Maksim Levental; Arham Khan; Ryan Chard; Kyle Chard; Stephen Neuendorffer; Ian T. Foster (HEART, 2024)

BraggHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science. - Maksim Levental; Arham Khan; Ryan Chard; Kazutomo Yoshii; Kyle Chard; Ian T. Foster (HEART, 2024)