Unbounded Transactional Memory. - C. Scott Ananian; Krste Asanovic; Bradley C. Kuszmaul; Charles E. Leiserson; Sean Lie (IEEE Micro, 2006)

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 (Hot Chips Symposium, 2011)

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 (HPCA, 2013)

Multi-Million Core, Multi-Wafer AI Cluster. - Sean Lie (HCS, 2021)

Cerebras Architecture Deep Dive: First Look Inside the HW/SW Co-Design for Deep Learning : Cerebras Systems. - Sean Lie (HCS, 2022)

Inside the Cerebras Wafer-Scale Cluster: Cerebras Systems. - Sean Lie (HCS, 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 (UAI, 2023)

Sparse Iso-FLOP Transformations for Maximizing Training Efficiency. - Shreyas Saxena; Vithursan Thangarasa; Abhay Gupta; Sean Lie (CoRR, 2023)

Cerebras Architecture Deep Dive: First Look Inside the Hardware/Software Co-Design for Deep Learning. - Sean Lie (IEEE Micro, 2023)

MediSwift: Efficient Sparse Pre-trained Biomedical Language Models. - Vithursan Thangarasa; Mahmoud Salem; Shreyas Saxena; Chen-Yu Leong; Joel Hestness; Sean Lie (ACL (Findings), 2024)

Wafer-Scale AI: GPU Impossible Performance. - Sean Lie (HCS, 2024)

Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency. - Vithursan Thangarasa; Shreyas Saxena; Abhay Gupta; Sean Lie (ICML, 2024)

MediSwift: Efficient Sparse Pre-trained Biomedical Language Models. - Vithursan Thangarasa; Mahmoud Salem; Shreyas Saxena; Kevin Leong; Joel Hestness; Sean Lie (CoRR, 2024)

Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment. - Abhinav Agarwalla; Abhay Gupta; Alexandre Noll Marques; Shubhra Pandit; Michael Goin; Eldar Kurtic; Kevin Leong; Tuan Nguyen; Mahmoud Salem; Dan Alistarh; Sean Lie; Mark Kurtz (CoRR, 2024)

Self-Data Distillation for Recovering Quality in Pruned Large Language Models. - Vithursan Thangarasa; Ganesh Venkatesh; Nish Sinnadurai; Sean Lie (CoRR, 2024)

Inside the Cerebras Wafer-Scale Cluster. - Sean Lie (IEEE Micro, 2024)

SD2: Self-Distilled Sparse Drafters. - Mike Lasby; Nish Sinnadurai; Valavan Manohararajah; Sean Lie; Vithursan Thangarasa (CoRR, 2025)

MASSV: Multimodal Adaptation and Self-Data Distillation for Speculative Decoding of Vision-Language Models. - Mugilan Ganesan; Shane Segal; Ankur Aggarwal; Nish Sinnadurai; Sean Lie; Vithursan Thangarasa (CoRR, 2025)