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2020 – today
- 2024
[j3]Sean Lie
:
Inside the Cerebras Wafer-Scale Cluster. IEEE Micro 44(3): 49-57 (2024)- [c10]Vithursan Thangarasa, Mahmoud Salem, Shreyas Saxena, Chen-Yu Leong, Joel Hestness, Sean Lie:
MediSwift: Efficient Sparse Pre-trained Biomedical Language Models. ACL (Findings) 2024: 214-230 - [c9]Sean Lie:
Wafer-Scale AI: GPU Impossible Performance. HCS 2024: 1-71 - [c8]Vithursan Thangarasa, Shreyas Saxena, Abhay Gupta, Sean Lie:
Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency. ICML 2024 - [i5]Vithursan Thangarasa, Mahmoud Salem, Shreyas Saxena, Kevin Leong, Joel Hestness, Sean Lie:
MediSwift: Efficient Sparse Pre-trained Biomedical Language Models. CoRR abs/2403.00952 (2024) - [i4]Abhinav Agarwalla, Abhay Gupta, Alexandre Marques, Shubhra Pandit, Michael Goin, Eldar Kurtic, Kevin Leong, Tuan Nguyen, Mahmoud Salem, Dan Alistarh, Sean Lie, Mark Kurtz:
Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment. CoRR abs/2405.03594 (2024) - [i3]Vithursan Thangarasa, Ganesh Venkatesh, Nish Sinnadurai, Sean Lie:
Self-Data Distillation for Recovering Quality in Pruned Large Language Models. CoRR abs/2410.09982 (2024) - 2023
- [j2]Sean Lie:
Cerebras Architecture Deep Dive: First Look Inside the Hardware/Software Co-Design for Deep Learning. IEEE Micro 43(3): 18-30 (2023) - [c7]Sean Lie:
Inside the Cerebras Wafer-Scale Cluster: Cerebras Systems. HCS 2023: 1-41 - [c6]Vithursan Thangarasa, Abhay Gupta, William Marshall, Tianda Li, Kevin Leong, Dennis DeCoste, Sean Lie, Shreyas Saxena:
SPDF: Sparse Pre-training and Dense Fine-tuning for Large Language Models. UAI 2023: 2134-2146 - [i2]Vithursan Thangarasa, Abhay Gupta, William Marshall, Tianda Li, Kevin Leong, Dennis DeCoste, Sean Lie, Shreyas Saxena:
SPDF: Sparse Pre-training and Dense Fine-tuning for Large Language Models. CoRR abs/2303.10464 (2023) - [i1]Shreyas Saxena, Vithursan Thangarasa, Abhay Gupta, Sean Lie:
Sparse Iso-FLOP Transformations for Maximizing Training Efficiency. CoRR abs/2303.11525 (2023) - 2022
- [c5]Sean Lie:
Cerebras Architecture Deep Dive: First Look Inside the HW/SW Co-Design for Deep Learning : Cerebras Systems. HCS 2022: 1-34 - 2021
- [c4]Sean Lie:
Multi-Million Core, Multi-Wafer AI Cluster. HCS 2021: 1-41
2010 – 2019
- 2013
- [c3]Kshitij Sudan, Saisanthosh Balakrishnan, Sean Lie, Min Xu, Dhiraj Mallick, Gary Lauterbach, Rajeev Balasubramonian:
A novel system architecture for web scale applications using lightweight CPUs and virtualized I/O. HPCA 2013: 167-178 - 2011
- [c2]Ashutosh Dhodapkar, Gary Lauterbach, Sean Lie, Dhiraj Mallick, Jim Bauman, Sundar Kanthadai, Toru Kuzuhara, Gene Shen, Min Xu, Chris Zhang:
SeaMicro SM10000-64 server: Building datacenter servers using cell phone chips. Hot Chips Symposium 2011: 1-18
2000 – 2009
- 2006
- [j1]C. Scott Ananian, Krste Asanovic, Bradley C. Kuszmaul, Charles E. Leiserson, Sean Lie:
Unbounded Transactional Memory. IEEE Micro 26(1): 59-69 (2006) - 2005
- [c1]C. Scott Ananian, Krste Asanovic, Bradley C. Kuszmaul, Charles E. Leiserson, Sean Lie:
Unbounded Transactional Memory. HPCA 2005: 316-327
Coauthor Index
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last updated on 2024-11-25 23:45 CET by the dblp team
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