What does fault tolerant deep learning need from MPI? - Vinay Amatya; Abhinav Vishnu; Charles Siegel; Jeff Daily (EuroMPI/USA, 2017)

GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent. - Jeff Daily; Abhinav Vishnu; Charles Siegel; Thomas Warfel; Vinay Amatya (CoRR, 2018)

A Clustering Approach for Consumer Baselining and Anomaly Detection in Transactive Control. - Nasheen Nur; Siddharth Sridhar; Seemita Pal; Aditya Ashok; Vinay C. Amatya (e-Energy, 2019)

Invited: Software Defined Accelerators From Learning Tools Environment. - Antonino Tumeo; Marco Minutoli; Vito Giovanni Castellana; Joseph B. Manzano; Vinay Amatya; David Brooks 001; Gu-Yeon Wei (DAC, 2020)

SODA: a New Synthesis Infrastructure for Agile Hardware Design of Machine Learning Accelerators. - Marco Minutoli; Vito Giovanni Castellana; Cheng Tan 002; Joseph B. Manzano; Vinay Amatya; Antonino Tumeo; David Brooks 001; Gu-Yeon Wei (ICCAD, 2020)

Understanding Impacts of Data Integrity Attacks on Transactive Control Systems. - Seemita Pal; Shuchismita Biswas; Siddharth Sridhar; Aditya Ashok; Jacob Hansen; Vinay C. Amatya (ISGT, 2020)

Scaling the training of particle classification on simulated MicroBooNE events to multiple GPUs. - Alex Hagen; Eric Church; Jan Strube 001; Kolahal Bhattacharya; Vinay Amatya (CoRR, 2020)

Towards Automatic and Agile AI/ML Accelerator Design with End-to-End Synthesis. - Jeff Jun Zhang; Nicolas Bohm Agostini; Shihao Song; Cheng Tan 002; Ankur Limaye; Vinay Amatya; Joseph B. Manzano; Marco Minutoli; Vito Giovanni Castellana; Antonino Tumeo; Gu-Yeon Wei; David Brooks 001 (ASAP, 2021)

Automated Generation of Integrated Digital and Spiking Neuromorphic Machine Learning Accelerators. - Serena Curzel; Nicolas Bohm Agostini; Shihao Song; Ismet Dagli; Ankur Limaye; Cheng Tan 002; Marco Minutoli; Vito Giovanni Castellana; Vinay Amatya; Joseph B. Manzano; Anup Das 001; Fabrizio Ferrandi; et al. (ICCAD, 2021)

The SODA approach: leveraging high-level synthesis for hardware/software co-design and hardware specialization: invited. - Nicolas Bohm Agostini; Serena Curzel; Ankur Limaye; Vinay Amatya; Marco Minutoli; Vito Giovanni Castellana; Joseph B. Manzano; Antonino Tumeo; Fabrizio Ferrandi (DAC, 2022)

SO(DA)2: End-to-end Generation of Specialized Reconfigurable Architectures (Invited Talk). - Antonino Tumeo; Nicolas Bohm Agostini; Serena Curzel; Ankur Limaye; Cheng Tan 002; Vinay Amatya; Marco Minutoli; Vito Giovanni Castellana; Ang Li 006; Joseph B. Manzano (PARMA-DITAM@HiPEAC, 2022)

From High-Level Frameworks to custom Silicon with SODA. - Serena Curzel; Nicolas Bohm Agostini; Reece Neff; Ankur Limaye; Jeff Jun Zhang; Vinay Amatya; Marco Minutoli; Vito Giovanni Castellana; Joseph B. Manzano; David Brooks 001; Gu-Yeon Wei; Fabrizio Ferrandi; et al. (HCS, 2022)

An MLIR-based Compiler Flow for System-Level Design and Hardware Acceleration. - Nicolas Bohm Agostini; Serena Curzel; Vinay Amatya; Cheng Tan 002; Marco Minutoli; Vito Giovanni Castellana; Joseph B. Manzano; David R. Kaeli; Antonino Tumeo (ICCAD, 2022)

Physics-informed Machine Learning of Parameterized Fundamental Diagrams. - James Koch; Thomas Maxner; Vinay Amatya; Andisheh Ranjbari; Chase Dowling (CoRR, 2022)

Bridging Python to Silicon: The SODA Toolchain. - Nicolas Bohm Agostini; Serena Curzel; Jeff Jun Zhang; Ankur Limaye; Cheng Tan 002; Vinay Amatya; Marco Minutoli; Vito Giovanni Castellana; Joseph B. Manzano; David Brooks 001; Gu-Yeon Wei; Antonino Tumeo (IEEE Micro, 2022)

Towards On-Chip Learning for Low Latency Reasoning with End-to-End Synthesis. - Vito Giovanni Castellana; Nicolas Bohm Agostini; Ankur Limaye; Vinay Amatya; Marco Minutoli; Joseph B. Manzano; Antonino Tumeo; Serena Curzel; Michele Fiorito; Fabrizio Ferrandi (ASP-DAC, 2023)

Predicting Curb Side Parking Availability for Commercial Vehicle Loading Zones. - Milan Jain; Vinay C. Amatya; Amelia Bleeker; Soumya Vasisht; John T. Feo; Katherine E. Wolf (Int. J. Intell. Transp. Syst. Res., 2024)