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Nikhil Bhagdikar
Observed name:
Bhagdikar, Nikhil
Institution:
Stanford University
Observed institution:
Stanford University
ORCID:
0000-0002-5141-3441
Observed ORCID:
0000-0002-5141-3441
OpenAlex ID:
A5063758993
A Systematic Approach to Blocking Convolutional Neural Networks
2016
·
Yang, Xuan
, Pu, Jing
, et al.
·
arXiv (Cornell University)
·
46
PDF
AHA: An Agile Approach to the Design of Coarse-Grained Reconfigurable Accelerators and Compilers
2022
·
Kalhan Koul
, Jackson Melchert
, et al.
·
ACM Transactions on Embedded Computing Systems
·
40
Evaluating programmable architectures for imaging and vision applications
2016
·
Artem Vasilyev
, Nikhil Bhagdikar
, et al.
·
Proceedings of the ... annual International Symposium on Microarchitecture/Proceedings of the annual International Symposium on Microarchitecture
·
36
Creating an Agile Hardware Design Flow
2020
·
Rick Bahr
, Clark Barrett
, et al.
·
Proceedings - ACM IEEE Design Automation Conference
·
29
Amber: A 367 GOPS, 538 GOPS/W 16nm SoC with a Coarse-Grained Reconfigurable Array for Flexible Acceleration of Dense Linear Algebra
2022
·
Alex Carsello
, Kathleen Feng
, et al.
·
IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)
·
23
Amber: A 16-nm System-on-Chip With a Coarse- Grained Reconfigurable Array for Flexible Acceleration of Dense Linear Algebra
2023
·
Kathleen Feng
, Taeyoung Kong
, et al.
·
IEEE Journal of Solid-State Circuits
·
21
Amber: Coarse-Grained Reconfigurable Array-Based SoC for Dense Linear Algebra Acceleration
2022
·
Kathleen Feng
, Alex Carsello
, et al.
·
IEEE Hot Chips Symposium
·
2
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Works count:
7
Citation count:
197
H-index:
6
I10-index:
6
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