Vinay Amatya - RankMe

15 papers A* 2A 3Journal 5Unranked 5

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	Towards On-Chip Learning for Low Latency Reasoning with End-to-End Synthesis. ASP-DAC Vito Giovanni Castellana, Nicolas Bohm Agostini, Ankur Limaye, Vinay Amatya, Marco Minutoli, Joseph B. Manzano, Antonino Tumeo, Serena Curzel, Michele Fiorito, Fabrizio Ferrandi
2022	A	`conf`	An MLIR-based Compiler Flow for System-Level Design and Hardware Acceleration. ICCAD Nicolas Bohm Agostini, Serena Curzel, Vinay Amatya, Cheng Tan, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, David R. Kaeli, Antonino Tumeo
2022	J	`jnl`	Bridging Python to Silicon: The SODA Toolchain. IEEE Micro Nicolas Bohm Agostini, Serena Curzel, Jeff Jun Zhang, Ankur Limaye, Cheng Tan, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, David Brooks, Gu-Yeon Wei, Antonino Tumeo
2022	—	`conf`	From High-Level Frameworks to custom Silicon with SODA. HCS Serena Curzel, Nicolas Bohm Agostini, Reece Neff, Ankur Limaye, Jeff Jun Zhang, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, David Brooks, Gu-Yeon Wei, Fabrizio Ferrandi, Antonino Tumeo
2022	J	`jnl`	Physics-informed Machine Learning of Parameterized Fundamental Diagrams. CoRR James Koch, Thomas Maxner, Vinay Amatya, Andisheh Ranjbari, Chase Dowling
2022	—	`conf`	SO(DA) PARMA-DITAM@HiPEAC Antonino Tumeo, Nicolas Bohm Agostini, Serena Curzel, Ankur Limaye, Cheng Tan, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Ang Li, Joseph B. Manzano
2022	A*	`conf`	The SODA approach: leveraging high-level synthesis for hardware/software co-design and hardware specialization: invited. DAC Nicolas Bohm Agostini, Serena Curzel, Ankur Limaye, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Antonino Tumeo, Fabrizio Ferrandi
2021	A	`conf`	Automated Generation of Integrated Digital and Spiking Neuromorphic Machine Learning Accelerators. ICCAD Serena Curzel, Nicolas Bohm Agostini, Shihao Song, Ismet Dagli, Ankur Limaye, Cheng Tan, Marco Minutoli, Vito Giovanni Castellana, Vinay Amatya, Joseph B. Manzano, Anup Das, Fabrizio Ferrandi, Antonino Tumeo
2021	—	`conf`	Towards Automatic and Agile AI/ML Accelerator Design with End-to-End Synthesis. ASAP Jeff Jun Zhang, Nicolas Bohm Agostini, Shihao Song, Cheng Tan, Ankur Limaye, Vinay Amatya, Joseph B. Manzano, Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Gu-Yeon Wei, David Brooks
2020	A*	`conf`	Invited: Software Defined Accelerators From Learning Tools Environment. DAC Antonino Tumeo, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Vinay Amatya, David Brooks, Gu-Yeon Wei
2020	A	`conf`	SODA: a New Synthesis Infrastructure for Agile Hardware Design of Machine Learning Accelerators. ICCAD Marco Minutoli, Vito Giovanni Castellana, Cheng Tan, Joseph B. Manzano, Vinay Amatya, Antonino Tumeo, David Brooks, Gu-Yeon Wei
2020	J	`jnl`	Scaling the training of particle classification on simulated MicroBooNE events to multiple GPUs. CoRR Alex Hagen, Eric Church, Jan Strube, Kolahal Bhattacharya, Vinay Amatya
2018	J	`jnl`	GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent. CoRR Jeff Daily, Abhinav Vishnu, Charles Siegel, Thomas Warfel, Vinay Amatya
2017	J	`jnl`	What does fault tolerant Deep Learning need from MPI? CoRR Vinay Amatya, Abhinav Vishnu, Charles Siegel, Jeff Daily
2017	—	`conf`	What does fault tolerant deep learning need from MPI? EuroMPI/USA Vinay Amatya, Abhinav Vishnu, Charles Siegel, Jeff Daily