Communication-Optimal Convolutional Neural Nets. - James Demmel; Grace Dinh (CoRR, 2018)

Communication-Optimal Tilings for Projective Nested Loops with Arbitrary Bounds. - Grace Dinh; James Demmel (SPAA, 2020)

CoSA: Scheduling by Constrained Optimization for Spatial Accelerators. - Qijing Huang 001; Aravind Kalaiah; Minwoo Kang; James Demmel; Grace Dinh; John Wawrzynek; Thomas Norell; Yakun Sophia Shao (ISCA, 2021)

Communication bounds for convolutional neural networks. - Anthony Chen; James Demmel; Grace Dinh; Mason Haberle; Olga Holtz (PASC, 2022)

DOSA: Differentiable Model-Based One-Loop Search for DNN Accelerators. - Charles Hong; Qijing Huang 001; Grace Dinh; Mahesh Subedar; Yakun Sophia Shao (MICRO, 2023)

Full Stack Optimization of Transformer Inference: a Survey. - Sehoon Kim 001; Coleman Hooper; Thanakul Wattanawong; Minwoo Kang; Ruohan Yan; Hasan Genc; Grace Dinh; Qijing Huang 001; Kurt Keutzer; Michael W. Mahoney; Yakun Sophia Shao; Amir Gholami (CoRR, 2023)

Optimization-Based Mappers and Lower Bounds for Tensor Problems - Grace Dinh (2023)

Tackling the Matrix Multiplication Micro-Kernel Generation with Exo. - Adrián Castelló 001; Julian Bellavita; Grace Dinh; Yuka Ikarashi; Héctor Martínez 002 (CGO, 2024)

Interface for Sparse Linear Algebra Operations. - Ahmad Abdelfattah; Willow Ahrens; Hartwig Anzt; Chris Armstrong; Ben Brock; Aydin Buluç; Federico Busato; Terry Cojean; Timothy A. Davis 001; Jim Demmel; Grace Dinh; David Gardener; et al. (CoRR, 2024)

Portable, High Performance Matrix Multiplication Micro-Kernels for RISC-V with ExO. - Adrián Castelló 001; Héctor Martínez 002; Sandra Catalán; Jie Lei; Yuka Ikarashi; Grace Dinh; Francisco D. Igual; Enrique S. Quintana-Ortí (PDP, 2025)