Jie Ren
Orcid: 0000-0001-5541-433XAffiliations:
- College of William & Mary, Williamsburg, VA, USA
- University of California, Merced, CA, USA (PhD 2022)
According to our database1,
Jie Ren
authored at least 27 papers
between 2018 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
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on github.com
On csauthors.net:
Bibliography
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
Proceedings of the 17th Workshop on General Purpose Processing Using GPU, 2025
2024
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
Proceedings of the Nineteenth European Conference on Computer Systems, 2024
2023
iQAN: Fast and Accurate Vector Search with Efficient Intra-Query Parallelism on Multi-Core Architectures.
IEEE Data Eng. Bull., 2023
CoRR, 2023
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
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
Proceedings of the 19th USENIX Conference on File and Storage Technologies, 2021
2020
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
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
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