Nicolas Bohm Agostini
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
13
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | FCCM | Towards Compiler-Driven Dynamic Partial Reconfiguration with MLIR. | Gabriel Rodriguez-Canal, Nick Brown, Maurice Jamieson, Nicolas Bohm Agostini, Ankur Limaye, Vito Giovanni Castellana, Joseph B. Manzano, Antonino Tumeo |
| 2026 | FPGA | Towards Scheduling of Pipelined Dataflow Graphs in MLIR. | Gabriel Rodriguez-Canal, Nicolas Bohm Agostini, Ankur Limaye, Vito Giovanni Castellana, Joseph B. Manzano, Antonino Tumeo, Maurice Jamieson, Nick Brown |
| 2025 | ASPDAC | ChemComp: A Compilation Framework for Computing with Chemical Reaction Networks. | Nicolas Bohm Agostini, Connah Johnson, William R. Cannon, Antonino Tumeo |
| 2025 | ASPDAC | A Synthesis Methodology for Intelligent Memory Interfaces in Accelerator Systems. | Ankur Limaye, Nicolas Bohm Agostini, Claudio Barone, Vito Giovanni Castellana, Michele Fiorito, Fabrizio Ferrandi, Andres Marquez, Antonino Tumeo |
| 2025 | DATE | ChemComp: Compiling and Computing with Chemical Reaction Networks. | Nicolas Bohm Agostini, Connah G. M. Johnson, William R. Cannon, Antonino Tumeo |
| 2025 | DATE | Online Learning for Dynamic Structural Characterization in Electron Energy Loss Spectroscopy. | M. Lakshmi Varshika, Jonathan Hollenbach, Nicolas Bohm Agostini, Ankur Limaye, Antonino Tumeo, Anup Das |
| 2025 | FCCM | UltraFormer: An Efficient Transformer for FPGAs. | Victor Agostinelli, Nicolas Bohm Agostini, Antonino Tumeo |
| 2025 | ICCAD | Neuromorphic Architectures for Scientific Computing: a Structural Characterization Case Study. | M. Lakshmi Varshika, Jonathan Hollenbach, Nicolas Bohm Agostini, Ankur Limaye, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Anup Das, Mitra Taheri, Antonino Tumeo |
| 2025 | USENIX | HEC: Equivalence Verification Checking for Code Transformation via Equality Saturation. | Jiaqi Yin, Zhan Song, Nicolas Bohm Agostini, Antonino Tumeo, Cunxi Yu |
| 2024 | ASPDAC | Towards Automated Generation of Chiplet-Based Systems Invited Paper. | Ankur Limaye, Claudio Barone, Nicolas Bohm Agostini, Marco Minutoli, Joseph B. Manzano, Vito Giovanni Castellana, Giovanni Gozzi, Michele Fiorito, Serena Curzel, Fabrizio Ferrandi, Antonino Tumeo |
| 2024 | CGO | AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators. | Nicolas Bohm Agostini, Jude Haris, Perry Gibson, Malith Jayaweera, Norm Rubin, Antonino Tumeo, Jos L. Abelln, Jos Cano, David R. Kaeli |
| 2024 | ICCAD | Extending High-Level Synthesis with AI/ML Methods. | Nicolas Bohm Agostini, Giovanni Gozzi, Michele Fiorito, Claudio Barone, Serena Curzel, Ankur Limaye, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Fabrizio Ferrandi, Antonino Tumeo |
| 2024 | ISCA | NeuraChip: Accelerating GNN Computations with a Hash-based Decoupled Spatial Accelerator. | Kaustubh Shivdikar, Nicolas Bohm Agostini, Malith Jayaweera, Gilbert Jonatan, Jos L. Abelln, Ajay Joshi, John Kim, David R. Kaeli |
| 2023 | ASPDAC | 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 |
| 2023 | DAC | ML-CGRA: An Integrated Compilation Framework to Enable Efficient Machine Learning Acceleration on CGRAs. | Yixuan Luo, Cheng Tan, Nicolas Bohm Agostini, Ang Li, Antonino Tumeo, Nirav Dave, Tong Geng |
| 2022 | DAC | 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 |
| 2022 | HPCA | DRIPS: Dynamic Rebalancing of Pipelined Streaming Applications on CGRAs. | Cheng Tan, Nicolas Bohm Agostini, Tong Geng, Chenhao Xie, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo |
| 2022 | ICCAD | An MLIR-based Compiler Flow for System-Level Design and Hardware Acceleration. | Nicolas Bohm Agostini, Serena Curzel, Vinay Amatya, Cheng Tan, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, David R. Kaeli, Antonino Tumeo |
| 2022 | ICCAD | SODA Synthesizer: An Open-Source, Multi-Level, Modular, Extensible Compiler from High-Level Frameworks to Silicon. | Nicolas Bohm Agostini, Ankur Limaye, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Antonino Tumeo, Serena Curzel, Fabrizio Ferrandi |
| 2021 | ICCAD | Automated Generation of Integrated Digital and Spiking Neuromorphic Machine Learning Accelerators. | 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 | ICCD | DynPaC: Coarse-Grained, Dynamic, and Partially Reconfigurable Array for Streaming Applications. | Cheng Tan, Tong Geng, Chenhao Xie, Nicolas Bohm Agostini, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo |
| 2021 | SBAC-PAD | SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference. | Jude Haris, Perry Gibson, Jos Cano, Nicolas Bohm Agostini, David R. Kaeli |
| 2020 | SBAC-PAD | Design Space Exploration of Accelerators and End-to-End DNN Evaluation with TFLITE-SOC. | Nicolas Bohm Agostini, Shi Dong, Elmira Karimi, Marti Torrents Lapuerta, Jos Cano, Jos L. Abelln, David R. Kaeli |
| 2019 | ICMLA | Discovering Programmer Intention Behind Written Source Code. | Gadiel Sznaier Camps, Nicolas Bohm Agostini, David R. Kaeli |