Memory efficient VLSI architecture for lifting-based DWT. - Anand D. Darji; Ankur Limaye (MWSCAS, 2014)

Flipping-based high speed VLSI architecture for 2-D lifting DWT. - Anand D. Darji; Konale Shashikanth; Ankur Limaye; S. N. Merchant; Arun N. Chandorkar (MWSCAS, 2014)

A Workload Characterization for the Internet of Medical Things (IoMT). - Ankur Limaye; Tosiron Adegbija (ISVLSI, 2017)

A Workload Characterization of the SPEC CPU2017 Benchmark Suite. - Ankur Limaye; Tosiron Adegbija (ISPASS, 2018)

HERMIT: A Benchmark Suite for the Internet of Medical Things. - Ankur Limaye; Tosiron Adegbija (IEEE Internet Things J., 2018)

Bit-Wise and Multi-GPU Implementations of the DNA Recombination Algorithm. - Elnaz Tavakoli Yazdi; Ankur Limaye; Ali Akoglu; Tosiron Adegbija; Adam Buntzman (HiPC, 2019)

ECG-Based Authentication Using Timing-Aware Domain-Specific Architecture. - Renato Cordeiro; Dhruv Gajaria; Ankur Limaye; Tosiron Adegbija; Nima Karimian; Fatemeh Tehranipoor (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 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)

DOSAGE: Generating Domain-Specific Accelerators for Resource-Constrained Computing. - Ankur Limaye; Tosiron Adegbija (ISLPED, 2021)

Energy characterization of graph workloads. - Ankur Limaye; Antonino Tumeo; Tosiron Adegbija (Sustain. Comput. Informatics Syst., 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)

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 (ICCAD, 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)

End-to-End Synthesis of Dynamically Controlled Machine Learning Accelerators. - Serena Curzel; Nicolas Bohm Agostini; Vito Giovanni Castellana; Marco Minutoli; Ankur Limaye; Joseph B. Manzano; Jeff Zhang 001; David Brooks 001; Gu-Yeon Wei; Fabrizio Ferrandi; Antonino Tumeo (IEEE Trans. Computers, 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)

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 (ASPDAC, 2024)

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 (ICCAD, 2024)

To Cache or not to Cache? Exploring the Design Space of Tunable, HLS-generated Accelerators. - Claudio Barone; Rishika Kushwah; Ankur Limaye; Vito Giovanni Castellana; Giovanni Gozzi; Michele Fiorito; Fabrizio Ferrandi; Antonino Tumeo (MEMSYS, 2024)

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 001; Antonino Tumeo (ASP-DAC, 2025)

The U.S. Microelectronics Research Programs and Where They Lower Barriers to Co-Design. Invited Paper. - James Alfred Ang; Antonino Tumeo; Nicolas Bohm Agostini; Ankur Limaye (CF (Companion), 2025)

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 001 (DATE, 2025)