Maksim Levental

According to our database, Maksim Levental authored at least 12 papers between 2020 and 2023.

Collaborative distances:

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

2023

nelli: a lightweight frontend for MLIR.

Maksim Levental, Alok Kamatar, Ryan Chard, Nicolas Vasilache, Kyle Chard, Ian T. Foster

CoRR, 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

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, Maksim Levental, Wenyi Wang, Will Engler, Owen Price Skelly, Ben Blaiszik, Rick Stevens, Kyle Chard, Ian T. Foster

Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, 2023

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

Memory Planning for Deep Neural Networks.

Maksim Levental

CoRR, 2022

2021

Ultrafast Focus Detection for Automated Microscopy.

Maksim Levental, Ryan Chard, Gregg A. Wildenberg

CoRR, 2021

Tensor Networks for Simulating Quantum Circuits on FPGAs.

Maksim Levental

CoRR, 2021

A Hardware Co-design Workflow for Scientific Instruments at the Edge.

Kazutomo Yoshii, Rajesh Sankaran, Sebastian Strempfer, Maksim Levental, Mike Hammer, Antonino Miceli

Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

Ultrafast Focus Detection for Automated Microscopy.

Maksim Levental, Ryan Chard, Kyle Chard, Ian T. Foster, Gregg A. Wildenberg

Proceedings of the 17th IEEE International Conference on eScience, 2021

2020

Confluence of Artificial Intelligence and High Performance Computing for Accelerated, Scalable and Reproducible Gravitational Wave Detection.

E. A. Huerta, Asad Khan, Xiaobo Huang, Minyang Tian, Maksim Levental, Ryan Chard, Wei Wei, Maeve Heflin, Daniel S. Katz, Volodymyr V. Kindratenko, Dawei Mu, Ben Blaiszik, Ian T. Foster

CoRR, 2020

Comparing the costs of abstraction for DL frameworks.

Maksim Levental, Elena Orlova

CoRR, 2020

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

Proceedings of the 2nd IEEE/ACM Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2020