Kai Wu

Affiliations:
  • University of California, Merced, CA, USA


According to our database1, Kai Wu authored at least 22 papers between 2017 and 2021.

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Bibliography

2021
Runtime Data Management on Non-Volatile Memory-Based High PerformanceSystems.
PhD thesis, 2021

Unimem: Runtime Data Management on Non-Volatile Memory-Based Heterogeneous Main Memory for High Performance Computing.
J. Comput. Sci. Technol., 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
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

UMap: Enabling Application-driven Optimizations for Page Management.
Proceedings of the 2019 IEEE/ACM Workshop on Memory Centric High Performance Computing, 2019

2018
Characterization and Comparison of Application Resilience for Serial and Parallel Executions.
CoRR, 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

Modeling Application Resilience in Large-scale Parallel Execution.
Proceedings of the 47th International Conference on Parallel Processing, 2018

2017
Early Evaluation of Intel Optane Non-Volatile Memory with HPC I/O Workloads.
CoRR, 2017

Unimem: Runtime Data Management on Non-Volatile Memory-based Heterogeneous Main Memory.
CoRR, 2017

High Performance Data Persistence in Non-Volatile Memory for Resilient High Performance Computing.
CoRR, 2017

Unimem: runtime data managementon non-volatile memory-based heterogeneous main memory.
Proceedings of the International Conference for High Performance Computing, 2017

Performance Evaluation and Modeling of HPC I/O on Non-Volatile Memory.
Proceedings of the 2017 International Conference on Networking, Architecture, and Storage, 2017

Algorithm-Directed Crash Consistence in Non-volatile Memory for HPC.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017


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