| Gossipgrad: Scalable deep learning using gossip communication based asynchronous gradient descent J Daily, A Vishnu, C Siegel, T Warfel, V Amatya arXiv preprint arXiv:1803.05880, 2018 | 108 | 2018 |
| An MLIR-based compiler flow for system-level design and hardware acceleration NB Agostini, S Curzel, V Amatya, C Tan, M Minutoli, VG Castellana, ... Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided …, 2022 | 20 | 2022 |
| Soda: a new synthesis infrastructure for agile hardware design of machine learning accelerators M Minutoli, VG Castellana, C Tan, J Manzano, V Amatya, A Tumeo, ... Proceedings of the 39th International Conference on Computer-Aided Design, 1-7, 2020 | 19 | 2020 |
| Automated generation of integrated digital and spiking neuromorphic machine learning accelerators S Curzel, NB Agostini, S Song, I Dagli, A Limaye, C Tan, M Minutoli, ... 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-7, 2021 | 18 | 2021 |
| STEllAR-GROUP/hpx: HPX V1. 4.1: The C++ standards library for parallelism and concurrency H Kaiser, M Simberg, BA Lelbach, T Heller, A Berge, J Biddiscombe, ... Accessed: Feb, 2020 | 18 | 2020 |
| Bridging Python to silicon: The SODA toolchain NB Agostini, S Curzel, JJ Zhang, A Limaye, C Tan, V Amatya, M Minutoli, ... IEEE Micro 42 (5), 78-88, 2022 | 16 | 2022 |
| What does fault tolerant deep learning need from mpi? V Amatya, A Vishnu, C Siegel, J Daily Proceedings of the 24th European MPI Users' Group Meeting, 1-11, 2017 | 16 | 2017 |
| Towards automatic and agile AI/ML accelerator design with end-to-end synthesis JJ Zhang, NB Agostini, S Song, C Tan, A Limaye, V Amatya, J Manzano, ... 2021 IEEE 32nd International Conference on Application-specific Systems …, 2021 | 8 | 2021 |
| Graph analytics and optimization methods for insights from the uber movement data AV Sathanur, V Amatya, A Khan, R Rallo, K Maass Proceedings of the 2nd ACM/EIGSCC Symposium on Smart Cities and Communities, 1-7, 2019 | 7 | 2019 |
| Parallel processes in HPX: designing an infrastructure for adaptive resource management VC Amatya Louisiana State University and Agricultural & Mechanical College, 2014 | 5 | 2014 |
| Physics-informed machine learning of parameterized fundamental diagrams J Koch, T Maxner, V Amatya, A Ranjbari, C Dowling arXiv preprint arXiv:2208.00880, 2022 | 3 | 2022 |
| Software defined accelerators from learning tools environment A Tumeo, M Minutoli, VG Castellana, J Manzano, V Amatya, D Brooks, ... 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 3 | 2020 |
| The SODA approach: leveraging high-level synthesis for hardware/software co-design and hardware specialization NB Agostini, S Curzel, A Limaye, V Amatya, M Minutoli, VG Castellana, ... Proceedings of the 59th ACM/IEEE Design Automation Conference, 1359-1362, 2022 | 2 | 2022 |
| SO (DA)^ 2: End-to-end Generation of Specialized Reconfigurable Architectures (Invited Talk) A Tumeo, NB Agostini, S Curzel, A Limaye, C Tan, V Amatya, M Minutoli, ... 13th Workshop on Parallel Programming and Run-Time Management Techniques for …, 2022 | 2 | 2022 |
| Understanding impacts of data integrity attacks on transactive control systems S Pal, S Biswas, S Sridhar, A Ashok, J Hansen, V Amatya 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2020 | 2 | 2020 |
| Accelerating the Global Arrays ComEx Runtime Using Multiple Progress Ranks N Gawande, K Kowalski, B Palmer, S Krishnamoorthy, E Apra, J Manzano, ... 2019 IEEE/ACM Workshop on Exascale MPI (ExaMPI), 29-38, 2019 | 2 | 2019 |
| A clustering approach for consumer baselining and anomaly detection in transactive control N Nur, S Sridhar, S Pal, A Ashok, VC Amatya Proceedings of the Tenth ACM International Conference on Future Energy …, 2019 | 2 | 2019 |
| Towards On-Chip Learning for Low Latency Reasoning with End-to-End Synthesis VG Castellana, NB Agostini, A Limaye, V Amatya, M Minutoli, J Manzano, ... Proceedings of the 28th Asia and South Pacific Design Automation Conference …, 2023 | 1 | 2023 |
| The L-CAPE Project at FNAL M Jain, V Amatya, B Harrison, K Hazelwood, G Panapitiya, W Pellico, ... JACoW, 2022 | 1 | 2022 |
| Scaling the training of particle classification on simulated MicroBooNE events to multiple GPUs A Hagen, E Church, J Strube, K Bhattacharya, V Amatya Journal of Physics: Conference Series 1525 (1), 012104, 2020 | 1 | 2020 |
