Ankita Nayak

According to our database, Ankita Nayak authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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, Kavya Sreedhar, Po-Han Chen, Nikhil Bhagdikar, Zachary Myers, Brandon D'Agostino, Pranil Joshi, Stephen Richardson, Christopher Torng, Mark Horowitz, Priyanka Raina

IEEE J. Solid State Circuits, March, 2024

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., June, 2023

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, Caleb Donovick, Alex Carsello, Taeyoung Kong, Kathleen Feng, Dillon Huff, Ankita Nayak, Rajsekhar Setaluri, James Thomas, Nikhil Bhagdikar, David Durst, Zachary Myers, Nestan Tsiskaridze, Stephen Richardson, Rick Bahr, Kayvon Fatahalian, Pat Hanrahan, Clark W. Barrett, Mark Horowitz, Christopher Torng, Fredrik Kjolstad, Priyanka Raina

ACM Trans. Embed. Comput. Syst., March, 2023

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, Kavya Sreedhar, Po-Han Chen, Nikhil Bhagdikar, Zachary Myers, Brandon D'Agostino, Pranil Joshi, Stephen Richardson, Rick Bahr, Christopher Torng, Mark Horowitz, Priyanka Raina

Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 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, Kavya Sreedhar, Po-Han Chen, Nikhil Bhagdikar, Zachary Myers, Brandon D'Agostino, Pranil Joshi, Stephen Richardson, Rick Bahr, Christopher Torng, Mark Horowitz, Priyanka Raina

Proceedings of the 2022 IEEE Hot Chips 34 Symposium, 2022

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

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Enabling Reusable Physical Design Flows with Modular Flow Generators.

Alex Carsello, James Thomas, Ankita Nayak, Po-Han Chen, Mark Horowitz, Priyanka Raina, Christopher Torng

CoRR, 2021

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

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 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, 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

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

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

Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

2018

DNN Dataflow Choice Is Overrated.

Xuan Yang, Mingyu Gao, Jing Pu, Ankita Nayak, Qiaoyi Liu, Steven Bell, Jeff Setter, Kaidi Cao, Heonjae Ha, Christos Kozyrakis, Mark Horowitz

CoRR, 2018