Understanding Application Recomputability without Crash Consistency in Non-Volatile Memory. - Jie Ren 015; Kai Wu 006; Dong Li 001 (MCHPC@SC, 2018)

Runtime data management on non-volatile memory-based heterogeneous memory for task-parallel programs. - Kai Wu 006; Jie Ren 015; Dong Li 001 (SC, 2018)

Opera: Similarity Analysis on Data Access Patterns of OpenMP Tasks to Optimize Task Affinity. - Jie Ren 015; Chunhua Liao; Dong Li 001 (IPDPS Workshops, 2019)

Architecture-Aware, High Performance Transaction for Persistent Memory. - Kai Wu 006; Jie Ren 015; Dong Li 001 (CoRR, 2019)

EasyCrash: Exploring Non-Volatility of Non-Volatile Memory for High Performance Computing Under Failures. - Jie Ren 015; Kai Wu 006; Dong Li 001 (CoRR, 2019)

Sentinel: Runtime Data Management on Heterogeneous Main MemorySystems for Deep Learning. - Jie Ren 015; Jiaolin Luo; Kai Wu 006; Minjia Zhang; Dong Li 001 (CoRR, 2019)

Ribbon: High Performance Cache Line Flushing for Persistent Memory. - Kai Wu 006; Ivy Bo Peng; Jie Ren 015; Dong Li 001 (PACT, 2020)

Exploring Non-Volatility of Non-Volatile Memory for High Performance Computing Under Failures. - Jie Ren 015; Kai Wu 006; Dong Li 001 (CLUSTER, 2020)

Demystifying the Performance of HPC Scientific Applications on NVM-based Memory Systems. - Ivy Bo Peng; Kai Wu 006; Jie Ren 015; Dong Li 001; Maya B. Gokhale (IPDPS, 2020)

HM-ANN: Efficient Billion-Point Nearest Neighbor Search on Heterogeneous Memory. - Jie Ren 015; Minjia Zhang; Dong Li 001 (NeurIPS, 2020)

ArchTM: Architecture-Aware, High Performance Transaction for Persistent Memory. - Kai Wu 006; Jie Ren 015; Ivy Bo Peng; Dong Li 001 (FAST, 2021)

Sentinel: Efficient Tensor Migration and Allocation on Heterogeneous Memory Systems for Deep Learning. - Jie Ren 015; Jiaolin Luo; Kai Wu 006; Minjia Zhang; Hyeran Jeon; Dong Li 001 (HPCA, 2021)

Optimizing large-scale plasma simulations on persistent memory-based heterogeneous memory with effective data placement across memory hierarchy. - Jie Ren 015; Jiaolin Luo; Ivy Bo Peng; Kai Wu 006; Dong Li 001 (ICS, 2021)

Sparta: high-performance, element-wise sparse tensor contraction on heterogeneous memory. - Jiawen Liu; Jie Ren 015; Roberto Gioiosa; Dong Li 001; Jiajia Li 001 (PPoPP, 2021)

ZeRO-Offload: Democratizing Billion-Scale Model Training. - Jie Ren 015; Samyam Rajbhandari; Reza Yazdani Aminabadi; Olatunji Ruwase; Shuangyan Yang; Minjia Zhang; Dong Li 001; Yuxiong He (USENIX ATC, 2021)

AutoConstruct: Automated Neural Surrogate Model Building and Deployment for HPC Applications. - Wenqian Dong; Jie Ren 015 (FlexScience@HPDC, 2023)

Understanding System Resilience for Converged Computing of Cloud, Edge, and HPC. - Luanzheng Guo; Jay F. Lofstead; Jie Ren 015; Ignacio Laguna; Gokcen Kestor; Line Pouchard; Dossay Oryspayev; Hyeran Jeon (ISC Workshops, 2023)

HM-Keeper: Scalable Page Management for Multi-Tiered Large Memory Systems. - Jie Ren 015; Dong Xu; Ivy Peng; Junhee Ryu; Kwangsik Shin; Daewoo Kim; Dong Li 001 (CoRR, 2023)

Dataset for Investigating Anomalies in Compute Clusters. - Diana McSpadden; Yasir Alanazi; Bryan Hess; Laura Hild; Mark Jones; Yiyang Lub; Ahmed Mohammed; Wesley Moore; Jie Ren 015; Malachi Schram; Evgenia Smirni (CoRR, 2023)

iQAN: Fast and Accurate Vector Search with Efficient Intra-Query Parallelism on Multi-Core Architectures. - Minjia Zhang; Jie Ren 015; Zhen Peng; Ruoming Jin; Dong Li 001; Bin Ren (IEEE Data Eng. Bull., 2023)

Dataset for Investigating Anomalies in Compute Clusters. - Diana McSpadden; Yasir Alanazi; Bryan Hess; Laura Hild; Mark Jones; Yiyang Lu; Ahmed Mohammed; Wesley Moore; Jie Ren 015; Malachi Schram; Evgenia Smirni (Zenodo, 2023)

MTM: Rethinking Memory Profiling and Migration for Multi-Tiered Large Memory. - Jie Ren 015; Dong Xu; Junhee Ryu; Kwangsik Shin; Daewoo Kim; Dong Li 001 (EuroSys, 2024)

Enabling Large Dynamic Neural Network Training with Learning-based Memory Management. - Jie Ren 015; Dong Xu; Shuangyan Yang; Jiacheng Zhao; Zhicheng Li; Christian Navasca; Chenxi Wang; Guoqing Harry Xu; Dong Li 001 (HPCA, 2024)

Harnessing Integrated CPU-GPU System Memory for HPC: a first look into Grace Hopper. - Gabin Schieffer; Jacob Wahlgren; Jie Ren 015; Jennifer Faj; Ivy Peng (ICPP, 2024)

Exploring and Evaluating Real-world CXL: Use Cases and System Adoption. - Jie Liu; Xi Wang; Jianbo Wu; Shuangyan Yang; Jie Ren 015; Bhanu Shankar; Dong Li 001 (CoRR, 2024)

Exploring the Wafer-Scale GPUs. - Daoxuan Xu; Le Xu; Jie Ren 015; Yifan Sun 001 (GPGPU@PPoPP, 2025)

LM-Offload: Performance Model-Guided Generative Inference of Large Language Models with Parallelism Control. - Jianbo Wu; Jie Ren 015; Shuangyan Yang; Konstantinos Parasyris; Giorgis Georgakoudis; Ignacio Laguna; Dong Li 001 (IPDPS (Workshops), 2025)