DNN Dataflow Choice Is Overrated. - Xuan Yang; Mingyu Gao 001; Jing Pu; Ankita Nayak; Qiaoyi Liu; Steven Bell; Jeff Setter; Kaidi Cao; Heonjae Ha; Christos Kozyrakis; Mark Horowitz (CoRR, 2018)

Interstellar: Using Halide's Scheduling Language to Analyze DNN Accelerators. - Xuan Yang; Mingyu Gao 001; Qiaoyi Liu; Jeff Setter; Jing Pu; Ankita Nayak; Steven Bell; Kaidi Cao; Heonjae Ha; Priyanka Raina; Christos Kozyrakis; Mark Horowitz (ASPLOS, 2020)

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; et al. (DAC, 2020)

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 (DATE, 2020)

Enabling Reusable Physical Design Flows with Modular Flow Generators. - Alex Carsello; James Thomas 003; Ankita Nayak; Po-Han Chen; Mark Horowitz; Priyanka Raina; Christopher Torng (CoRR, 2021)

mflowgen: a modular flow generator and ecosystem for community-driven physical design: invited. - Alex Carsello; James Thomas 003; Ankita Nayak; Po-Han Chen; Mark Horowitz; Priyanka Raina; Christopher Torng (DAC, 2022)

Amber: Coarse-Grained Reconfigurable Array-Based SoC for Dense Linear Algebra Acceleration. - Kathleen Feng; Alex Carsello; Taeyoung Kong; Kalhan Koul; Qiaoyi Liu; Jackson Melchert; Gedeon Nyengele; Maxwell Strange; Keyi Zhang; Ankita Nayak; Jeff Setter; James Thomas 003; et al. (HCS, 2022)

Amber: A 367 GOPS, 538 GOPS/W 16nm SoC with a Coarse-Grained Reconfigurable Array for Flexible Acceleration of Dense Linear Algebra. - Alex Carsello; Kathleen Feng; Taeyoung Kong; Kalhan Koul; Qiaoyi Liu; Jackson Melchert; Gedeon Nyengele; Maxwell Strange; Keyi Zhang; Ankita Nayak; Jeff Setter; James Thomas 003; et al. (VLSI Technology and Circuits, 2022)

AHA: An Agile Approach to the Design of Coarse-Grained Reconfigurable Accelerators and Compilers. - Kalhan Koul; Jackson Melchert; Kavya Sreedhar; Leonard Truong; Gedeon Nyengele; Keyi Zhang; Qiaoyi Liu; Jeff Setter; Po-Han Chen; Yuchen Mei; Maxwell Strange; Ross Daly; et al. (ACM Trans. Embed. Comput. Syst., 2023)

Improving Energy Efficiency of CGRAs with Low-Overhead Fine-Grained Power Domains. - Ankita Nayak; Keyi Zhang; Rajsekhar Setaluri; Alex Carsello; Makai Mann; Christopher Torng; Stephen Richardson; Rick Bahr; Pat Hanrahan; Mark Horowitz; Priyanka Raina (ACM Trans. Reconfigurable Technol. Syst., 2023)

Amber: A 16-nm System-on-Chip With a Coarse- Grained Reconfigurable Array for Flexible Acceleration of Dense Linear Algebra. - Kathleen Feng; Taeyoung Kong; Kalhan Koul; Jackson Melchert; Alex Carsello; Qiaoyi Liu; Gedeon Nyengele; Maxwell Strange; Keyi Zhang; Ankita Nayak; Jeff Setter; James Thomas 003; et al. (IEEE J. Solid State Circuits, 2024)

QuArch: A Question-Answering Dataset for AI Agents in Computer Architecture. - Shvetank Prakash; Andrew Cheng; Jason Yik; Arya Tschand; Radhika Ghosal; Ikechukwu Uchendu; Jessica Quaye; Jeffrey Ma; Shreyas Grampurohit; Sofia Giannuzzi; Arnav Balyan; Fin Amin; et al. (IEEE Comput. Archit. Lett., 2025)

SubZero: Composing Subject, Style, and Action via Zero-Shot Personalization. - Shubhankar Borse; Kartikeya Bhardwaj; Mohammad Reza Karimi Dastjerdi; Hyojin Park 004; Shreya Kadambi; Shobitha Shivakumar; Prathamesh Mandke; Ankita Nayak; Harris Teague; Munawar Hayat; Fatih Porikli (CoRR, 2025)

DuoLoRA : Cycle-consistent and Rank-disentangled Content-Style Personalization. - Aniket Roy; Shubhankar Borse; Shreya Kadambi; Debasmit Das; Shweta Mahajan; Risheek Garrepalli; Hyojin Park 004; Ankita Nayak; Rama Chellappa; Munawar Hayat; Fatih Porikli (CoRR, 2025)