Maksim Levental

Orcid: 0009-0005-3450-2847

According to our database1, Maksim Levental authored at least 14 papers between 2020 and 2024.

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Bibliography

2024
BraggHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science.
Proceedings of the 14th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, 2024

An End-to-End Programming Model for AI Engine Architectures.
Proceedings of the 14th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, 2024

2023
nelli: a lightweight frontend for MLIR.
CoRR, 2023

OpenHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science.
CoRR, 2023

Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision.
Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, 2023

2022
Real-Time Streaming and Event-driven Control of Scientific Experiments.
CoRR, 2022

Memory Planning for Deep Neural Networks.
CoRR, 2022

2021
Ultrafast Focus Detection for Automated Microscopy.
CoRR, 2021

Tensor Networks for Simulating Quantum Circuits on FPGAs.
CoRR, 2021

A Hardware Co-design Workflow for Scientific Instruments at the Edge.
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.
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.
CoRR, 2020

Comparing the costs of abstraction for DL frameworks.
CoRR, 2020

Towards Online Steering of Flame Spray Pyrolysis Nanoparticle Synthesis.
Proceedings of the 2nd IEEE/ACM Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2020


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