Priyanka Raina
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
9
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | FMCAD | Automated Translation Validation of a Compiler for Statically Scheduled Accelerators. | Jackson Melchert, Caleb Terrill, Aron Ricardo Perez-Lopez, Clark W. Barrett, Priyanka Raina |
| 2024 | ASPLOS | 8-bit Transformer Inference and Fine-tuning for Edge Accelerators. | Jeffrey Yu, Kartik Prabhu, Yonatan Urman, Robert M. Radway, Eric Han, Priyanka Raina |
| 2024 | FMCAD | Efficiently Synthesizing Lowest Cost Rewrite Rules for Instruction Selection. | Ross Daly, Caleb Donovick, Caleb Terrill, Jackson Melchert, Priyanka Raina, Clark W. Barrett, Pat Hanrahan |
| 2023 | ASPLOS | APEX: A Framework for Automated Processing Element Design Space Exploration using Frequent Subgraph Analysis. | Jackson Melchert, Kathleen Feng, Caleb Donovick, Ross Daly, Ritvik Sharma, Clark W. Barrett, Mark A. Horowitz, Pat Hanrahan, Priyanka Raina |
| 2023 | DATE | Ultra-Dense 3D Physical Design Unlocks New Architectural Design Points with Large Benefits. | Tathagata Srimani, Robert M. Radway, Jinwoo Kim, Kartik Prabhu, Dennis Rich, Carlo Gilardi, Priyanka Raina, Max M. Shulaker, Sung Kyu Lim, Subhasish Mitra |
| 2023 | ICCAD | PBA: Percentile-Based Level Allocation for Multiple-Bits-Per-Cell RRAM. | Anjiang Wei, Akash Levy, Pu Yi, Robert M. Radway, Priyanka Raina, Subhasish Mitra, Sara Achour |
| 2023 | ISCAS | An Open-Source $4 \times 8$ Coarse-Grained Reconfigurable Array Using SkyWater 130 nm Technology and Agile Hardware Design Flow. | Po-Han Chen, Charles Tsao, Priyanka Raina |
| 2022 | ASPDAC | Efficient Routing in Coarse-Grained Reconfigurable Arrays Using Multi-Pole NEM Relays. | Akash Levy, Michael Oduoza, Akhilesh Balasingam, Roger T. Howe, Priyanka Raina |
| 2022 | DAC | mflowgen: a modular flow generator and ecosystem for community-driven physical design: invited. | Alex Carsello, James Thomas, Ankita Nayak, Po-Han Chen, Mark Horowitz, Priyanka Raina, Christopher Torng |
| 2022 | FMCAD | Synthesizing Instruction Selection Rewrite Rules from RTL using SMT. | Ross Daly, Caleb Donovick, Jackson Melchert, Rajsekhar Setaluri, Nestan Tsiskaridze, Priyanka Raina, Clark W. Barrett, Pat Hanrahan |
| 2020 | ASPLOS | Interstellar: Using Halide's Scheduling Language to Analyze DNN Accelerators. | Xuan Yang, Mingyu Gao, Qiaoyi Liu, Jeff Setter, Jing Pu, Ankita Nayak, Steven Bell, Kaidi Cao, Heonjae Ha, Priyanka Raina, Christos Kozyrakis, Mark Horowitz |
| 2020 | DAC | Creating an Agile Hardware Design Flow. | Rick Bahr, Clark W. Barrett, Nikhil Bhagdikar, Alex Carsello, Ross Daly, Caleb Donovick, David Durst, Kayvon Fatahalian, Kathleen Feng, Pat Hanrahan, Teguh Hofstee, Mark Horowitz, Dillon Huff, Fredrik Kjolstad, Taeyoung Kong, Qiaoyi Liu, Makai Mann, Jackson Melchert, Ankita Nayak, Aina Niemetz, Gedeon Nyengele, Priyanka Raina, Stephen Richardson, Rajsekhar Setaluri, Jeff Setter, Kavya Sreedhar, Maxwell Strange, James Thomas, Christopher Torng, Leonard Truong, Nestan Tsiskaridze, Keyi Zhang |
| 2020 | DAC | A-QED Verification of Hardware Accelerators. | Eshan Singh, Florian Lonsing, Saranyu Chattopadhyay, Maxwell Strange, Peng Wei, Xiaofan Zhang, Yuan Zhou, Deming Chen, Jason Cong, Priyanka Raina, Zhiru Zhang, Clark W. Barrett, Subhasish Mitra |
| 2020 | DATE | A Framework for Adding Low-Overhead, Fine-Grained Power Domains to CGRAs. | Ankita Nayak, Keyi Zhang, Rajsekhar Setaluri, Alex Carsello, Makai Mann, Stephen Richardson, Rick Bahr, Pat Hanrahan, Mark Horowitz, Priyanka Raina |
| 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 | ISPASS | Timeloop: A Systematic Approach to DNN Accelerator Evaluation. | Angshuman Parashar, Priyanka Raina, Yakun Sophia Shao, Yu-Hsin Chen, Victor A. Ying, Anurag Mukkara, Rangharajan Venkatesan, Brucek Khailany, Stephen W. Keckler, Joel S. Emer |
| 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 |