Kavya Sreedhar

Researcher, Stanford, Google

Joined

September 2024

Names

Kavya Sreedhar (Preferred)

Emails

****@gmail.com (Confirmed)

****@stanford.edu (Confirmed)

****@google.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Researcher

Stanford, Google (google.com)

2024 – Present

PhD student

Electrical Engineering, Stanford University (stanford.edu)

2019 – 2025

Advisors, Relations & Conflicts

PhD Advisor

Mark Horowitz

2019 – 2024

Expertise

No areas of expertise listed

Publications

FG-ATTN: LEVERAGING FINE-GRAINED SPARSITY IN DIFFUSION TRANSFORMERS
Sankeerth Durvasula, Kavya Sreedhar, Zain Moustafa, Suraj Kothawade, Ashish Gondimalla, Suvinay Subramanian, Narges Shahidi, Nandita Vijaykumar
- ICLR 2026 Conference Desk Rejected Submission
- Readers: Everyone
Leveraging LLMs to Improve Hardware-Software Co-Design Workflow Productivity and Accessibility
Kavya Sreedhar, Josh Ogbonda, Pengqi Yin, Narges Shahidi, Kanthi Nagaraj, Zhijie Deng, Rami Cohen, Ton Kalker, Sameer Kumar, Amir Yazdanbakhsh, Suvinay Subramanian
- MLArchSys 2025 Poster
- Readers: Everyone
Enabling On-Device Large Language Models with 3D-Stacked Memory
Lita Yang, Kavya Sreedhar, Huichu Liu, Edith Beigne
- MLNCP Poster
- Readers: Everyone
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 et al. (2 additional authors not shown)
- IEEE J. Solid State Circuits 2024
- Readers: Everyone
Vision Transformer Computation and Resilience for Dynamic Inference
Kavya Sreedhar, Jason Clemons, Rangharajan Venkatesan, Stephen W. Keckler, Mark Horowitz
- ISPASS 2024
- Readers: Everyone
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 et al. (13 additional authors not shown)
- ACM Trans. Embed. Comput. Syst. 2023
- Readers: Everyone
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 et al. (3 additional authors not shown)
- VLSI Technology and Circuits 2022
- Readers: Everyone
A Fast Large-Integer Extended GCD Algorithm and Hardware Design for Verifiable Delay Functions and Modular Inversion
Kavya Sreedhar, Mark Horowitz, Christopher Torng
- IACR Trans. Cryptogr. Hardw. Embed. Syst. 2022
- Readers: Everyone
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 et al. (3 additional authors not shown)
- HCS 2022
- Readers: Everyone
Compiling Halide Programs to Push-Memory Accelerators
Qiaoyi Liu, Dillon Huff, Jeff Setter, Maxwell Strange, Kathleen Feng, Kavya Sreedhar, Ziheng Wang, Keyi Zhang, Mark Horowitz, Priyanka Raina, Fredrik Kjolstad
- CoRR 2021
- Readers: Everyone

View all 12 publications

Co-Authors

View all 60 co-authors