Nicolas Bohm Agostini

47 papers A* 4A 10B 1C 4Misc 1Journal 12Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	Towards Scheduling of Pipelined Dataflow Graphs in MLIR. FPGA Gabriel Rodriguez-Canal, Nicolas Bohm Agostini, Ankur Limaye, Vito Giovanni Castellana, Joseph B. Manzano, Antonino Tumeo, Maurice Jamieson, Nick Brown
2025	—	`conf`	A Synthesis Methodology for Intelligent Memory Interfaces in Accelerator Systems. ASP-DAC Ankur Limaye, Nicolas Bohm Agostini, Claudio Barone, Vito Giovanni Castellana, Michele Fiorito, Fabrizio Ferrandi, Andres Marquez, Antonino Tumeo
2025	J	`jnl`	Analyzing inference workloads for spatiotemporal modeling. Future Gener. Comput. Syst. Milan Jain, Nicolas Bohm Agostini, Sayan Ghosh, Antonino Tumeo
2025	—	`conf`	ChemComp: A Compilation Framework for Computing with Chemical Reaction Networks. ASP-DAC Nicolas Bohm Agostini, Connah Johnson, William R. Cannon, Antonino Tumeo
2025	A	`conf`	ChemComp: Compiling and Computing with Chemical Reaction Networks. DATE Nicolas Bohm Agostini, Connah G. M. Johnson, William R. Cannon, Antonino Tumeo
2025	—	`conf`	HEC: Equivalence Verification Checking for Code Transformation via Equality Saturation. USENIX ATC Jiaqi Yin, Zhan Song, Nicolas Bohm Agostini, Antonino Tumeo, Cunxi Yu
2025	J	`jnl`	HEC: Equivalence Verification Checking for Code Transformation via Equality Saturation. CoRR Jiaqi Yin, Zhan Song, Nicolas Bohm Agostini, Antonino Tumeo, Cunxi Yu
2025	—	`conf`	ML4SODA: A Decision Tree Guided Design Space Exploration for Fast and High Quality MLIR-based HLS. ACM Great Lakes Symposium on VLSI Darshith Manjunath, Nicolas Bohm Agostini, Antonino Tumeo, Jeff Zhang, Chaitali Chakrabarti
2025	A	`conf`	Neuromorphic Architectures for Scientific Computing: a Structural Characterization Case Study. ICCAD 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	A	`conf`	Online Learning for Dynamic Structural Characterization in Electron Energy Loss Spectroscopy. DATE M. Lakshmi Varshika, Jonathan Hollenbach, Nicolas Bohm Agostini, Ankur Limaye, Antonino Tumeo, Anup Das
2025	—	`conf`	The U.S. Microelectronics Research Programs and Where They Lower Barriers to Co-Design. Invited Paper. CF (Companion) James Alfred Ang, Antonino Tumeo, Nicolas Bohm Agostini, Ankur Limaye
2025	Misc	`conf`	UltraFormer: An Efficient Transformer for FPGAs. FCCM Victor Agostinelli, Nicolas Bohm Agostini, Antonino Tumeo
2024	A	`conf`	AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators. CGO Nicolas Bohm Agostini, Jude Haris, Perry Gibson, Malith Jayaweera, Norm Rubin, Antonino Tumeo, José L. Abellán, José Cano, David R. Kaeli
2024	—	`conf`	Computing with a Chemical Reservoir. ICRC Connah G. M. Johnson, Nicolas Bohm Agostini, William R. Cannon, Antonino Tumeo
2024	J	`jnl`	Data Transfer Optimizations for Host-CPU and Accelerators in AXI4MLIR. CoRR Jude Haris, Nicolas Bohm Agostini, Antonino Tumeo, David R. Kaeli, José Cano
2024	A	`conf`	Extending High-Level Synthesis with AI/ML Methods. ICCAD 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	A*	`conf`	NeuraChip: Accelerating GNN Computations with a Hash-based Decoupled Spatial Accelerator. ISCA Kaustubh Shivdikar, Nicolas Bohm Agostini, Malith Jayaweera, Gilbert Jonatan, José L. Abellán, Ajay Joshi, John Kim, David R. Kaeli
2024	J	`jnl`	NeuraChip: Accelerating GNN Computations with a Hash-based Decoupled Spatial Accelerator. CoRR Kaustubh Shivdikar, Nicolas Bohm Agostini, Malith Jayaweera, Gilbert Jonatan, José L. Abellán, Ajay Joshi, John Kim, David R. Kaeli
2024	B	`conf`	Towards Automated Generation of Chiplet-Based Systems Invited Paper. ASPDAC 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
2023	J	`jnl`	AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators. CoRR Nicolas Bohm Agostini, Jude Haris, Perry Gibson, Malith Jayaweera, Norm Rubin, Antonino Tumeo, José L. Abellán, José Cano, David R. Kaeli
2023	A*	`conf`	ML-CGRA: An Integrated Compilation Framework to Enable Efficient Machine Learning Acceleration on CGRAs. DAC YiXuan Luo, Cheng Tan, Nicolas Bohm Agostini, Ang Li, Antonino Tumeo, Nirav Dave, Tong Geng
2023	J	`jnl`	SECDA-TFLite: A toolkit for efficient development of FPGA-based DNN accelerators for edge inference. J. Parallel Distributed Comput. Jude Haris, Perry Gibson, José Cano, Nicolas Bohm Agostini, David R. Kaeli
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	A*	`conf`	DRIPS: Dynamic Rebalancing of Pipelined Streaming Applications on CGRAs. HPCA Cheng Tan, Nicolas Bohm Agostini, Tong Geng, Chenhao Xie, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo
2022	J	`jnl`	End-to-End Synthesis of Dynamically Controlled Machine Learning Accelerators. IEEE Trans. Computers Serena Curzel, Nicolas Bohm Agostini, Vito Giovanni Castellana, Marco Minutoli, Ankur Limaye, Joseph B. Manzano, Jeff Zhang, David Brooks, Gu-Yeon Wei, Fabrizio Ferrandi, 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	—	`conf`	Hardware acceleration of complex machine learning models through modern high-level synthesis. CF Serena Curzel, Nicolas Bohm Agostini, Antonino Tumeo, Fabrizio Ferrandi
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`	SODA Synthesizer: An Open-Source, Multi-Level, Modular, Extensible Compiler from High-Level Frameworks to Silicon. ICCAD Nicolas Bohm Agostini, Ankur Limaye, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Antonino Tumeo, Serena Curzel, Fabrizio Ferrandi
2022	—	`conf`	SODA-OPT an MLIR based flow for co-design and high-level synthesis. CF Nicolas Bohm Agostini, Serena Curzel, David R. Kaeli, Antonino Tumeo
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
2022	J	`jnl`	VCSR: An Efficient GPU Memory-Aware Sparse Format. IEEE Trans. Parallel Distributed Syst. Elmira Karimi, Nicolas Bohm Agostini, Shi Dong, David R. Kaeli
2021	—	`conf`	A Secure and Reusable Software Architecture for Supporting Online Data Harmonization. IEEE BigData Zlatan Feric, Nicolas Bohm Agostini, Daniel Beene, Antonio J. Signes-Pastor, Yuliya Halchenko, Deborah Watkins, Debra MacKenzie, Margaret Karagas, Justin Manjourides, Akram Alshawabkeh, David R. Kaeli
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	C	`conf`	DynPaC: Coarse-Grained, Dynamic, and Partially Reconfigurable Array for Streaming Applications. ICCD Cheng Tan, Tong Geng, Chenhao Xie, Nicolas Bohm Agostini, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo
2021	—	`conf`	OpenCGRA: Democratizing Coarse-Grained Reconfigurable Arrays. ASAP Cheng Tan, Nicolas Bohm Agostini, Jeff Zhang, Marco Minutoli, Vito Giovanni Castellana, Chenhao Xie, Tong Geng, Ang Li, Kevin J. Barker, Antonino Tumeo
2021	—	`conf`	Performance Evaluation and Improvement of Real-Time Computer Vision Applications for Edge Computing Devices. ICPE (Companion) Julian Gutierrez, Nicolas Bohm Agostini, David R. Kaeli
2021	C	`conf`	SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference. SBAC-PAD Jude Haris, Perry Gibson, José Cano, Nicolas Bohm Agostini, David R. Kaeli
2021	J	`jnl`	SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference. CoRR Jude Haris, Perry Gibson, José Cano, Nicolas Bohm Agostini, David R. Kaeli
2021	J	`jnl`	Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs. IEEE Trans. Parallel Distributed Syst. Shi Dong, Yifan Sun, Nicolas Bohm Agostini, Elmira Karimi, Daniel Lowell, Jing Zhou, José Cano, José L. Abellán, David R. Kaeli
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	C	`conf`	Design Space Exploration of Accelerators and End-to-End DNN Evaluation with TFLITE-SOC. SBAC-PAD Nicolas Bohm Agostini, Shi Dong, Elmira Karimi, Marti Torrents Lapuerta, José Cano, José L. Abellán, David R. Kaeli
2019	C	`conf`	Discovering Programmer Intention Behind Written Source Code. ICMLA Gadiel Sznaier Camps, Nicolas Bohm Agostini, David R. Kaeli
2019	A	`conf`	Exploiting Adaptive Data Compression to Improve Performance and Energy-Efficiency of Compute Workloads in Multi-GPU Systems. IPDPS Mohammad Khavari Tavana, Yifan Sun, Nicolas Bohm Agostini, David R. Kaeli
2019	J	`jnl`	Summarizing CPU and GPU Design Trends with Product Data. CoRR Yifan Sun, Nicolas Bohm Agostini, Shi Dong, David R. Kaeli