Accelerating Compute-Intensive Applications with GPUs and FPGAs. - Shuai Che; Jie Li; Jeremy W. Sheaffer; Kevin Skadron; John C. Lach (SASP, 2008)

A performance study of general-purpose applications on graphics processors using CUDA. - Shuai Che; Michael Boyer; Jiayuan Meng; David Tarjan; Jeremy W. Sheaffer; Kevin Skadron (J. Parallel Distributed Comput., 2008)

Rodinia: A benchmark suite for heterogeneous computing. - Shuai Che; Michael Boyer; Jiayuan Meng; David Tarjan; Jeremy W. Sheaffer; Sang-Ha Lee; Kevin Skadron (IISWC, 2009)

A characterization of the Rodinia benchmark suite with comparison to contemporary CMP workloads. - Shuai Che; Jeremy W. Sheaffer; Michael Boyer; Lukasz G. Szafaryn; Liang Wang 055; Kevin Skadron (IISWC, 2010)

Using cycle stacks to understand scaling bottlenecks in multi-threaded workloads. - Wim Heirman; Trevor E. Carlson; Shuai Che; Kevin Skadron; Lieven Eeckhout (IISWC, 2011)

Dymaxion: optimizing memory access patterns for heterogeneous systems. - Shuai Che; Jeremy W. Sheaffer; Kevin Skadron (SC, 2011)

Load balancing in a changing world: dealing with heterogeneity and performance variability. - Michael Boyer; Kevin Skadron; Shuai Che; Nuwan Jayasena (Conf. Computing Frontiers, 2013)

Pannotia: Understanding irregular GPGPU graph applications. - Shuai Che; Bradford M. Beckmann; Steven K. Reinhardt; Kevin Skadron (IISWC, 2013)

QuickRelease: A throughput-oriented approach to release consistency on GPUs. - Blake A. Hechtman; Shuai Che; Derek R. Hower; Yingying Tian; Bradford M. Beckmann; Mark D. Hill; Steven K. Reinhardt; David A. Wood 001 (HPCA, 2014)

GasCL: A vertex-centric graph model for GPUs. - Shuai Che (HPEC, 2014)

BelRed: Constructing GPGPU graph applications with software building blocks. - Shuai Che; Bradford M. Beckmann; Steven K. Reinhardt (HPEC, 2014)

Dymaxion++: A Directive-Based API to Optimize Data Layout and Memory Mapping for Heterogeneous Systems. - Shuai Che; Jiayuan Meng; Kevin Skadron (IPDPS Workshops, 2014)

SPEC ACCEL: A Standard Application Suite for Measuring Hardware Accelerator Performance. - Guido Juckeland; William C. Brantley; Sunita Chandrasekaran; Barbara M. Chapman; Shuai Che; Mathew E. Colgrove; Huiyu Feng; Alexander Grund; Robert Henschel; Wen-mei W. Hwu; Huian Li; Matthias S. Müller; et al. (PMBS@SC, 2014)

BenchFriend: Correlating the performance of GPU benchmarks. - Shuai Che; Kevin Skadron (Int. J. High Perform. Comput. Appl., 2014)

Synchronization Using Remote-Scope Promotion. - Marc S. Orr; Shuai Che; Ayse Yilmazer; Bradford M. Beckmann; Mark D. Hill; David A. Wood 001 (ASPLOS, 2015)

Graph Coloring on the GPU and Some Techniques to Improve Load Imbalance. - Shuai Che; Gregory Rodgers; Bradford M. Beckmann; Steven K. Reinhardt (IPDPS Workshops, 2015)

Betweenness Centrality in an HSA-enabled System. - Shuai Che; Marc S. Orr; Gregory Rodgers; Jonathan Gallmeier (HPGP@HPDC, 2016)

Software Assisted Hardware Cache Coherence for Heterogeneous Processors. - Arkaprava Basu; Sooraj Puthoor; Shuai Che; Bradford M. Beckmann (MEMSYS, 2016)

Challenges of Programming a System with Heterogeneous Memories and Heterogeneous Processors: A Programmer's View. - Shuai Che; Arkaprava Basu; Jonathan Gallmeier (MEMSYS, 2016)

Implementing directed acyclic graphs with the heterogeneous system architecture. - Sooraj Puthoor; Ashwin M. Aji; Shuai Che; Mayank Daga; Wei Wu 016; Bradford M. Beckmann; Gregory Rodgers (GPGPU@PPoPP, 2016)

Accelerating Matrix Processing with GPUs. - Nicholas Malaya; Shuai Che; Joseph L. Greathouse; René van Oostrum; Michael J. Schulte (ARITH, 2017)

Work Stealing in a Shared Virtual-Memory Heterogeneous Environment: A Case Study with Betweenness Centrality. - Shuai Che; Marc S. Orr; Jonathan Gallmeier (Conf. Computing Frontiers, 2017)

Auto-Tuning Strategies for Parallelizing Sparse Matrix-Vector (SpMV) Multiplication on Multi- and Many-Core Processors. - Kaixi Hou; Wu-chun Feng; Shuai Che (IPDPS Workshops, 2017)

Gravel: fine-grain GPU-initiated network messages. - Marc S. Orr; Shuai Che; Bradford M. Beckmann; Mark Oskin; Steven K. Reinhardt; David A. Wood 001 (SC, 2017)

Programming GPGPU Graph Applications with Linear Algebra Building Blocks. - Shuai Che; Bradford M. Beckmann; Steven K. Reinhardt (Int. J. Parallel Program., 2017)

Northup: Divide-and-Conquer Programming in Systems with Heterogeneous Memories and Processors. - Shuai Che; Jieming Yin (IPDPS, 2019)

Hardware-Guided Symbiotic Training for Compact, Accurate, yet Execution-Efficient LSTM. - Hongxu Yin; Guoyang Chen; Yingmin Li; Shuai Che; Weifeng Zhang 003; Niraj K. Jha (CoRR, 2019)

Software-Defined Design Space Exploration for an Efficient AI Accelerator Architecture. - Ye Yu 003; Yingmin Li; Shuai Che; Niraj K. Jha; Weifeng Zhang 003 (CoRR, 2019)

AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing. - Tong Geng; Ang Li 006; Runbin Shi; Chunshu Wu; Tianqi Wang; Yanfei Li; Pouya Haghi; Antonino Tumeo; Shuai Che; Steven K. Reinhardt; Martin C. Herbordt (MICRO, 2020)

Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point. - Bita Darvish Rouhani; Daniel Lo; Ritchie Zhao; Ming Liu; Jeremy Fowers; Kalin Ovtcharov; Anna Vinogradsky; Sarah Massengill; Lita Yang; Ray Bittner; Alessandro Forin; Haishan Zhu; et al. (NeurIPS, 2020)

Software-Defined Design Space Exploration for an Efficient DNN Accelerator Architecture. - Ye Yu 003; Yingmin Li; Shuai Che; Niraj K. Jha; Weifeng Zhang 003 (IEEE Trans. Computers, 2021)

Towards Execution-Efficient LSTMs via Hardware-Guided Grow-and-Prune Paradigm. - Hongxu Yin; Guoyang Chen; Yingmin Li; Shuai Che; Weifeng Zhang 003; Niraj K. Jha (IEEE Trans. Emerg. Top. Comput., 2022)

DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales. - Zhewei Yao; Reza Yazdani Aminabadi; Olatunji Ruwase; Samyam Rajbhandari; Xiaoxia Wu; Ammar Ahmad Awan; Jeff Rasley; Minjia Zhang; Conglong Li; Connor Holmes; Zhongzhu Zhou; Michael Wyatt; et al. (CoRR, 2023)

HERA: Hybrid Edge-cloud Resource Allocation for Cost-Efficient AI Agents. - Shiyi Liu; Haiying Shen; Shuai Che; Mahdi Ghandi; Mingqin Li (CoRR, 2025)