| Tensor networks for simulating quantum circuits on FPGAs M Levental arXiv preprint arXiv:2108.06831, 2021 | 8 | 2021 |
| Ultrafast focus detection for automated microscopy M Levental, R Chard, K Chard, I Foster, G Wildenberg International Conference on Computational Science, 403-416, 2022 | 6 | 2022 |
| A hardware co-design workflow for scientific instruments at the edge K Yoshii, R Sankaran, S Strempfer, M Levental, M Hammer, A Miceli Smoky Mountains Computational Sciences and Engineering Conference, 209-226, 2021 | 4 | 2021 |
| Trillion parameter ai serving infrastructure for scientific discovery: A survey and vision NC Hudson, JG Pauloski, M Baughman, A Kamatar, M Sakarvadia, ... Proceedings of the IEEE/ACM 10th International Conference on Big Data …, 2023 | 3 | 2023 |
| Memory planning for deep neural networks M Levental arXiv preprint arXiv:2203.00448, 2022 | 3 | 2022 |
| nelli: a lightweight frontend for MLIR M Levental, A Kamatar, R Chard, K Chard, I Foster arXiv preprint arXiv:2307.16080, 2023 | 2 | 2023 |
| External evaluation of a mammography-based deep learning model for predicting breast cancer in an ethnically diverse population OJ Omoleye, AE Woodard, FM Howard, F Zhao, TF Yoshimatsu, Y Zheng, ... Radiology: Artificial Intelligence 5 (6), e220299, 2023 | 2 | 2023 |
| OpenHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science M Levental, A Khan, K Chard, I Foster, R Chard, K Yoshii arXiv preprint arXiv:2302.06751, 2023 | 2 | 2023 |
| Comparing the costs of abstraction for dl frameworks M Levental, E Orlova arXiv preprint arXiv:2012.07163, 2020 | 2 | 2020 |
| Towards online steering of flame spray pyrolysis nanoparticle synthesis M Levental, R Chard, JA Libera, K Chard, A Koripelly, JR Elias, ... 2020 IEEE/ACM 2nd Annual Workshop on Extreme-scale Experiment-in-the-Loop …, 2020 | 2 | 2020 |
| Real-Time Streaming and Event-driven Control of Scientific Experiments JR Elias, R Chard, M Levental, Z Liu, I Foster, S Chaudhuri arXiv preprint arXiv:2205.01476, 2022 | 1 | 2022 |
| BraggHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science M Levental, A Khan, R Chard, K Yoshii, K Chard, I Foster Proceedings of the 14th International Symposium on Highly Efficient …, 2024 | | 2024 |
| An End-to-End Programming Model for AI Engine Architectures M Levental, A Khan, R Chard, K Chard, S Neuendorffer, I Foster Proceedings of the 14th International Symposium on Highly Efficient …, 2024 | | 2024 |
| Independent evaluation and validation of mammography-based breast cancer risk models in a diverse patient cohort OJ Omoleye, A Woodard, F Zhao, M Levental, TF Yoshimatsu, Y Zheng, ... Cancer Research 82 (12_Supplement), 1933-1933, 2022 | | 2022 |
| PROCEEDINGS OF XLOOP 2020: 2ND ANNUAL WORKSHOP ON EXTREME-SCALE EXPERIMENT-IN-THE-LOOP COMPUTING, HELD IN CONJUNCTION WITH SC 2020: THE INTERNATIONAL CONFERENCE FOR HIGH … T Bicer, R Kettimuthu, IT Foster, V Nikitin, S Aslan, D Gursoy, M Levental, ... | | 2020 |
| A deep neural network model for hazard classification JN Wilson, F Toska, M Levental, PJ Dobbins Artificial Intelligence and Machine Learning in Defense Applications 11169 …, 2019 | | 2019 |
Ryan ChardArgonne National Laboratory在 anl.gov 的电子邮件经过验证
