Grace Dinh

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 11

Top Topics

Unconstrained Optimization

Penalty Functions

Augmented Lagrangian

Top Venues

Publications

Adrián Castelló, Julian Bellavita, Grace Dinh, Yuka Ikarashi, Héctor Martínez
Tackling the Matrix Multiplication Micro-Kernel Generation with Exo. CGO (2024)
Sehoon Kim, Coleman Hooper, Thanakul Wattanawong, Minwoo Kang, Ruohan Yan, Hasan Genc, Grace Dinh, Qijing Huang, Kurt Keutzer, Michael W. Mahoney, Yakun Sophia Shao, Amir Gholami
Full Stack Optimization of Transformer Inference: a Survey. CoRR (2023)
Adrián Castelló, Julian Bellavita, Grace Dinh, Yuka Ikarashi, Héctor Martínez
Tackling the Matrix Multiplication Micro-kernel Generation with Exo. CoRR (2023)
Charles Hong, Qijing Huang, Grace Dinh, Mahesh Subedar, Yakun Sophia Shao
DOSA: Differentiable Model-Based One-Loop Search for DNN Accelerators. MICRO (2023)
Anthony Chen, James Demmel, Grace Dinh, Mason Haberle, Olga Holtz
Communication Bounds for Convolutional Neural Networks. CoRR (2022)
Anthony Chen, James Demmel, Grace Dinh, Mason Haberle, Olga Holtz
Communication bounds for convolutional neural networks. PASC (2022)
Qijing Huang, Minwoo Kang, Grace Dinh, Thomas Norell, Aravind Kalaiah, James Demmel, John Wawrzynek, Yakun Sophia Shao
CoSA: Scheduling by Constrained Optimization for Spatial Accelerators. CoRR (2021)
Qijing Huang, Aravind Kalaiah, Minwoo Kang, James Demmel, Grace Dinh, John Wawrzynek, Thomas Norell, Yakun Sophia Shao
CoSA: Scheduling by Constrained Optimization for Spatial Accelerators. ISCA (2021)
Grace Dinh, James Demmel
Communication-Optimal Tilings for Projective Nested Loops with Arbitrary Bounds. SPAA (2020)
Grace Dinh, James Demmel
Communication-Optimal Tilings for Projective Nested Loops with Arbitrary Bounds. CoRR (2020)
James Demmel, Grace Dinh
Communication-Optimal Convolutional Neural Nets. CoRR (2018)