Sean Lie

According to our database, Sean Lie authored at least 16 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Inside the Cerebras Wafer-Scale Cluster.

Sean Lie

IEEE Micro, 2024

Self-Data Distillation for Recovering Quality in Pruned Large Language Models.

Vithursan Thangarasa, Ganesh Venkatesh, Nish Sinnadurai, Sean Lie

CoRR, 2024

Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment.

Abhinav Agarwalla, Abhay Gupta, Alexandre Marques, Shubhra Pandit, Michael Goin, Eldar Kurtic, Kevin Leong, Tuan Nguyen, Mahmoud Salem, Dan Alistarh, Sean Lie, Mark Kurtz

CoRR, 2024

MediSwift: Efficient Sparse Pre-trained Biomedical Language Models.

Vithursan Thangarasa, Mahmoud Salem, Shreyas Saxena, Kevin Leong, Joel Hestness, Sean Lie

CoRR, 2024

Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency.

Vithursan Thangarasa, Shreyas Saxena, Abhay Gupta, Sean Lie

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Wafer-Scale AI: GPU Impossible Performance.

Sean Lie

Proceedings of the 36th IEEE Hot Chips Symposium, 2024

MediSwift: Efficient Sparse Pre-trained Biomedical Language Models.

Vithursan Thangarasa, Mahmoud Salem, Shreyas Saxena, Chen-Yu Leong, Joel Hestness, Sean Lie

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Cerebras Architecture Deep Dive: First Look Inside the Hardware/Software Co-Design for Deep Learning.

Sean Lie

IEEE Micro, 2023

Sparse Iso-FLOP Transformations for Maximizing Training Efficiency.

Shreyas Saxena, Vithursan Thangarasa, Abhay Gupta, Sean Lie

CoRR, 2023

SPDF: Sparse Pre-training and Dense Fine-tuning for Large Language Models.

Vithursan Thangarasa, Abhay Gupta, William Marshall, Tianda Li, Kevin Leong, Dennis DeCoste, Sean Lie, Shreyas Saxena

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Inside the Cerebras Wafer-Scale Cluster: Cerebras Systems.

Sean Lie

Proceedings of the 35th IEEE Hot Chips Symposium, 2023

2022

Cerebras Architecture Deep Dive: First Look Inside the HW/SW Co-Design for Deep Learning : Cerebras Systems.

Sean Lie

Proceedings of the 2022 IEEE Hot Chips 34 Symposium, 2022

2021

Multi-Million Core, Multi-Wafer AI Cluster.

Sean Lie

Proceedings of the IEEE Hot Chips 33 Symposium, 2021

2013

A novel system architecture for web scale applications using lightweight CPUs and virtualized I/O.

Kshitij Sudan, Saisanthosh Balakrishnan, Sean Lie, Min Xu, Dhiraj Mallick, Gary Lauterbach, Rajeev Balasubramonian

Proceedings of the 19th IEEE International Symposium on High Performance Computer Architecture, 2013

2011

SeaMicro SM10000-64 server: Building datacenter servers using cell phone chips.

Ashutosh Dhodapkar, Gary Lauterbach, Sean Lie, Dhiraj Mallick, Jim Bauman, Sundar Kanthadai, Toru Kuzuhara, Gene Shen, Min Xu, Chris Zhang

Proceedings of the 2011 IEEE Hot Chips 23 Symposium (HCS), 2011

2006

Unbounded Transactional Memory.

C. Scott Ananian, Krste Asanovic, Bradley C. Kuszmaul, Charles E. Leiserson, Sean Lie

IEEE Micro, 2006