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Kavya Sreedhar
Kavya Sreedhar
PhD Candidate, Stanford University
在 stanford.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Creating an agile hardware design flow
R Bahr, C Barrett, N Bhagdikar, A Carsello, R Daly, C Donovick, D Durst, ...
2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020
312020
Amber: A 367 GOPS, 538 GOPS/W 16nm SoC with a coarse-grained reconfigurable array for flexible acceleration of dense linear algebra
A Carsello, K Feng, T Kong, K Koul, Q Liu, J Melchert, G Nyengele, ...
2022 IEEE Symposium on VLSI Technology and Circuits (VLSI), 70-71, 2022
212022
AHA: An Agile Approach to the Design of Coarse-Grained Reconfigurable Accelerators and Compilers
K Koul, J Melchert, K Sreedhar, L Truong, G Nyengele, K Zhang, Q Liu, ...
ACM Transactions on Embedded Computing Systems (TECS), 2022
192022
A Fast Large-Integer Extended GCD Algorithm and Hardware Design for Verifiable Delay Functions and Modular Inversion
K Sreedhar, M Horowitz, C Torng
Cryptographic Hardware and Embedded Systems (CHES) / IACR Transactions on …, 2022
82022
Compiling halide programs to push-memory accelerators
Q Liu, D Huff, J Setter, M Strange, K Feng, K Sreedhar, Z Wang, K Zhang, ...
arXiv preprint arXiv:2105.12858, 2021
52021
Enabling and accelerating dynamic vision transformer inference for real-time applications
K Sreedhar, J Clemons, R Venkatesan, SW Keckler, M Horowitz
arXiv preprint arXiv:2212.02687, 2022
42022
Automating System Configuration.
N Tsiskaridze, M Strange, M Mann, K Sreedhar, Q Liu, M Horowitz, ...
Formal Methods in Computer-Aided Design (FMCAD), 102-111, 2021
42021
Amber: Coarse-grained reconfigurable array-based soc for dense linear algebra acceleration
K Feng, A Carsello, T Kong, K Koul, Q Liu, J Melchert, G Nyengele, ...
2022 IEEE Hot Chips 34 Symposium (HCS), 1-30, 2022
22022
Techniques for balancing dynamic inferencing by machine learning models
JL Clemons, K Sreedhar
US Patent App. 18/152,528, 2024
2024
Vision Transformer Computation and Resilience for Dynamic Inference
K Sreedhar, J Clemons, R Venkatesan, SW Keckler, M Horowitz
2024 IEEE International Symposium on Performance Analysis of Systems and …, 2024
2024
Lake: An Agile Framework for Designing and Automatically Configuring Physical Unified Buffers
M Strange, K Sreedhar, M Horowitz
Languages, Tools, and Techniques for Accelerator Design (LATTE) Workshop co …, 2024
2024
Amber: A 16-nm System-on-Chip With a Coarse-Grained Reconfigurable Array for Flexible Acceleration of Dense Linear Algebra
K Feng, T Kong, K Koul, J Melchert, A Carsello, Q Liu, G Nyengele, ...
IEEE Journal of Solid-State Circuits (JSSC), 2023
2023
Augmenting and dynamically configuring a neural network model for real-time systems
JL Clemons, K Sreedhar, SW Keckler
US Patent App. 17/724,819, 2023
2023
Next Generation Fast Shutter System for LIGO
K Sreedhar
California Institute of Technology, 2019
2019
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