Grace Dinh - RankMe

15 papers A* 2A 1B 1C 1Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DOSA: Differentiable Model-Based One-Loop Search for DNN Accelerators. CoRR Charles Hong, Qijing Huang, Grace Dinh, Mahesh Subedar, Yakun Sophia Shao
2025	C	`conf`	Portable, High Performance Matrix Multiplication Micro-Kernels for RISC-V with ExO. PDP Adrián Castelló, Héctor Martínez, Sandra Catalán, Jie Lei, Yuka Ikarashi, Grace Dinh, Francisco D. Igual, Enrique S. Quintana-Ortí
2024	J	`jnl`	Interface for Sparse Linear Algebra Operations. CoRR Ahmad Abdelfattah, Willow Ahrens, Hartwig Anzt, Chris Armstrong, Ben Brock, Aydin Buluç, Federico Busato, Terry Cojean, Timothy A. Davis, Jim Demmel, Grace Dinh, David Gardener, Jan Fiala, Mark Gates, Azzam Haider, Toshiyuki Imamura, Pedro Valero-Lara, José E. Moreira, Xiaoye Sherry Li, Piotr Luszczek, Max Melichenko, Jose Moeira, Yvan Mokwinski, Riley Murray, Spencer Patty, Slaven Peles, Tobias Ribizel, E. Jason Riedy, Siva Rajamanickam, Piyush Sao, Manu Shantharam, Keita Teranishi, Stan Tomov, Yu-Hsiang Tsai, Heiko K. Weichelt
2024	A	`conf`	Tackling the Matrix Multiplication Micro-Kernel Generation with Exo. CGO Adrián Castelló, Julian Bellavita, Grace Dinh, Yuka Ikarashi, Héctor Martínez
2023	A*	`conf`	DOSA: Differentiable Model-Based One-Loop Search for DNN Accelerators. MICRO Charles Hong, Qijing Huang, Grace Dinh, Mahesh Subedar, Yakun Sophia Shao
2023	J	`jnl`	Full Stack Optimization of Transformer Inference: a Survey. CoRR 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
2023	—	`—`	Optimization-Based Mappers and Lower Bounds for Tensor Problems Grace Dinh
2023	J	`jnl`	Tackling the Matrix Multiplication Micro-kernel Generation with Exo. CoRR Adrián Castelló, Julian Bellavita, Grace Dinh, Yuka Ikarashi, Héctor Martínez
2022	J	`jnl`	Communication Bounds for Convolutional Neural Networks. CoRR Anthony Chen, James Demmel, Grace Dinh, Mason Haberle, Olga Holtz
2022	—	`conf`	Communication bounds for convolutional neural networks. PASC Anthony Chen, James Demmel, Grace Dinh, Mason Haberle, Olga Holtz
2021	A*	`conf`	CoSA: Scheduling by Constrained Optimization for Spatial Accelerators. ISCA Qijing Huang, Aravind Kalaiah, Minwoo Kang, James Demmel, Grace Dinh, John Wawrzynek, Thomas Norell, Yakun Sophia Shao
2021	J	`jnl`	CoSA: Scheduling by Constrained Optimization for Spatial Accelerators. CoRR Qijing Huang, Minwoo Kang, Grace Dinh, Thomas Norell, Aravind Kalaiah, James Demmel, John Wawrzynek, Yakun Sophia Shao
2020	B	`conf`	Communication-Optimal Tilings for Projective Nested Loops with Arbitrary Bounds. SPAA Grace Dinh, James Demmel
2020	J	`jnl`	Communication-Optimal Tilings for Projective Nested Loops with Arbitrary Bounds. CoRR Grace Dinh, James Demmel
2018	J	`jnl`	Communication-Optimal Convolutional Neural Nets. CoRR James Demmel, Grace Dinh