Jie Ren

Orcid: 0000-0001-5541-433X

Affiliations:
  • College of William & Mary, Williamsburg, VA, USA
  • University of California, Merced, CA, USA (PhD 2022)


According to our database1, Jie Ren authored at least 33 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Beyond Pixels: Introspective and Interactive Grounding for Visualization Agents.
CoRR, April, 2026

Taming GPU Underutilization via Static Partitioning and Fine-grained CPU Offloading.
CoRR, April, 2026

Mantis: Decoding HPC Telemetry Data for Robust System Prediction.
Proceedings of the 40th ACM International Conference on Supercomputing, 2026

HDPAT: Hierarchical Distributed Page Address Translation for Wafer-Scale GPUs.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026

2025
Assessing Page Reclamation Mechanisms for Linux.
Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, 2025

LM-Offload: Performance Model-Guided Generative Inference of Large Language Models with Parallelism Control.
Proceedings of the 2025 IEEE International Parallel and Distributed Processing Symposium, 2025

Machine Learning-Guided Memory Optimization for DLRM Inference on Tiered Memory.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

Exploring the Wafer-Scale GPUs.
Proceedings of the 17th Workshop on General Purpose Processing Using GPU, 2025

2024
Exploring and Evaluating Real-world CXL: Use Cases and System Adoption.
CoRR, 2024

Harnessing Integrated CPU-GPU System Memory for HPC: a first look into Grace Hopper.
Proceedings of the 53rd International Conference on Parallel Processing, 2024

Enabling Large Dynamic Neural Network Training with Learning-based Memory Management.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

MTM: Rethinking Memory Profiling and Migration for Multi-Tiered Large Memory.
Proceedings of the Nineteenth European Conference on Computer Systems, 2024

2023
Dataset for Investigating Anomalies in Compute Clusters.
Dataset, October, 2023

iQAN: Fast and Accurate Vector Search with Efficient Intra-Query Parallelism on Multi-Core Architectures.
IEEE Data Eng. Bull., 2023

Dataset for Investigating Anomalies in Compute Clusters.
CoRR, 2023

HM-Keeper: Scalable Page Management for Multi-Tiered Large Memory Systems.
CoRR, 2023

Understanding System Resilience for Converged Computing of Cloud, Edge, and HPC.
Proceedings of the High Performance Computing, 2023

AutoConstruct: Automated Neural Surrogate Model Building and Deployment for HPC Applications.
Proceedings of the 13th Workshop on AI and Scientific Computing at Scale using Flexible Computing, 2023

2021
ZeRO-Offload: Democratizing Billion-Scale Model Training.
Proceedings of the 2021 USENIX Annual Technical Conference, 2021

Sparta: high-performance, element-wise sparse tensor contraction on heterogeneous memory.
Proceedings of the PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021

Optimizing large-scale plasma simulations on persistent memory-based heterogeneous memory with effective data placement across memory hierarchy.
Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

Sentinel: Efficient Tensor Migration and Allocation on Heterogeneous Memory Systems for Deep Learning.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

ArchTM: Architecture-Aware, High Performance Transaction for Persistent Memory.
Proceedings of the 19th USENIX Conference on File and Storage Technologies, 2021

2020
HM-ANN: Efficient Billion-Point Nearest Neighbor Search on Heterogeneous Memory.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Demystifying the Performance of HPC Scientific Applications on NVM-based Memory Systems.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

Exploring Non-Volatility of Non-Volatile Memory for High Performance Computing Under Failures.
Proceedings of the IEEE International Conference on Cluster Computing, 2020

Ribbon: High Performance Cache Line Flushing for Persistent Memory.
Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020

2019
Sentinel: Runtime Data Management on Heterogeneous Main MemorySystems for Deep Learning.
CoRR, 2019

EasyCrash: Exploring Non-Volatility of Non-Volatile Memory for High Performance Computing Under Failures.
CoRR, 2019

Architecture-Aware, High Performance Transaction for Persistent Memory.
CoRR, 2019

Opera: Similarity Analysis on Data Access Patterns of OpenMP Tasks to Optimize Task Affinity.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

2018
Runtime data management on non-volatile memory-based heterogeneous memory for task-parallel programs.
Proceedings of the International Conference for High Performance Computing, 2018

Understanding Application Recomputability without Crash Consistency in Non-Volatile Memory.
Proceedings of the Workshop on Memory Centric High Performance Computing, 2018


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