Nathaniel Ross Pinckney
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
5
Active years
2008–2025
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | DATE | ChipVQA: Benchmarking Visual Language Models for Chip Design. | Haoyu Yang, Qijing Huang, Nathaniel Ross Pinckney, Walker J. Turner, Wenfei Zhou, Yanqing Zhang, Chia-Tung Ho, Chen-Chia Chang, Haoxing Ren |
| 2025 | ICCAD | LLM4Verilog: Building Large-Scale, High-Quality Data Infrastructure for Verilog Code Generation via Community Efforts. | Zhongzhi Yu, Chaojian Li, Yongan Zhang, Mingjie Liu, Nathaniel Ross Pinckney, Wenfei Zhou, Rongjian Liang, Haoyu Yang, Haoxing Ren, Yingyan Celine Lin |
| 2024 | ICCAD | Invited Paper: LLM4HWDesign Contest: Constructing a Comprehensive Dataset for LLM-Assisted Hardware Code Generation with Community Efforts. | Zhongzhi Yu, Chaojian Li, Yongan Zhang, Mingjie Liu, Nathaniel Ross Pinckney, Wenfei Zhou, Haoyu Yang, Rongjian Liang, Haoxing Ren, Yingyan Celine Lin |
| 2023 | DAC | Late Breaking Results: Test Selection For RTL Coverage By Unsupervised Learning From Fast Functional Simulation. | Rongjian Liang, Nathaniel Ross Pinckney, Yuji Chai, Haoxin Ren, Brucek Khailany |
| 2023 | ICCAD | Invited Paper: VerilogEval: Evaluating Large Language Models for Verilog Code Generation. | Mingjie Liu, Nathaniel Ross Pinckney, Brucek Khailany, Haoxing Ren |
| 2021 | ICCAD | IPA: Floorplan-Aware SystemC Interconnect Performance Modeling and Generation for HLS-based SoCs. | Nathaniel Ross Pinckney, Rangharajan Venkatesan, Ben Keller, Brucek Khailany |
| 2019 | ICCAD | MAGNet: A Modular Accelerator Generator for Neural Networks. | Rangharajan Venkatesan, Yakun Sophia Shao, Miaorong Wang, Jason Clemons, Steve Dai, Matthew Fojtik, Ben Keller, Alicia Klinefelter, Nathaniel Ross Pinckney, Priyanka Raina, Yanqing Zhang, Brian Zimmer, William J. Dally, Joel S. Emer, Stephen W. Keckler, Brucek Khailany |
| 2019 | MICRO | Simba: Scaling Deep-Learning Inference with Multi-Chip-Module-Based Architecture. | Yakun Sophia Shao, Jason Clemons, Rangharajan Venkatesan, Brian Zimmer, Matthew Fojtik, Nan Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Ross Pinckney, Priyanka Raina, Stephen G. Tell, Yanqing Zhang, William J. Dally, Joel S. Emer, C. Thomas Gray, Brucek Khailany, Stephen W. Keckler |
| 2018 | DAC | A modular digital VLSI flow for high-productivity SoC design. | Brucek Khailany, Evgeni Khmer, Rangharajan Venkatesan, Jason Clemons, Joel S. Emer, Matthew Fojtik, Alicia Klinefelter, Michael Pellauer, Nathaniel Ross Pinckney, Yakun Sophia Shao, Shreesha Srinath, Christopher Torng, Sam Likun Xi, Yanqing Zhang, Brian Zimmer |
| 2016 | DAC | Near-threshold computing in FinFET technologies: opportunities for improved voltage scalability. | Nathaniel Ross Pinckney, Lucian Shifren, Brian Cline, Saurabh Sinha, Supreet Jeloka, Ronald G. Dreslinski, Trevor N. Mudge, Dennis Sylvester, David T. Blaauw |
| 2012 | DAC | Assessing the performance limits of parallelized near-threshold computing. | Nathaniel Ross Pinckney, Korey Sewell, Ronald G. Dreslinski, David Fick, Trevor N. Mudge, Dennis Sylvester, David T. Blaauw |
| 2008 | ACSSC | Parallel high-radix Montgomery multipliers. | Philip Amberg, Nathaniel Ross Pinckney, David Money Harris |
| 2008 | DAC | A MIPS R2000 implementation. | Nathaniel Ross Pinckney, Thomas Barr, Michael Dayringer, Matthew McKnett, Nan Jiang, Carl Nygaard, David Money Harris, Joel Stanley, Braden Phillips |