Sian Jin
Orcid: 0009-0009-9250-0611
According to our database1,
Sian Jin
authored at least 51 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Parallel Distributed Syst., March, 2024
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation.
Proc. ACM Manag. Data, February, 2024
Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling.
Proceedings of the Nineteenth European Conference on Computer Systems, 2024
2023
IEEE Wirel. Commun. Lett., March, 2023
Design of a Quantization-Based DNN Delta Compression Framework for Model Snapshots and Federated Learning.
IEEE Trans. Parallel Distributed Syst., March, 2023
SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks.
CoRR, 2023
CoRR, 2023
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications.
Proceedings of the International Conference for High Performance Computing, 2023
LibPressio-Predict: Flexible and Fast Infrastructure For Inferring Compression Performance.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
2022
Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints.
IEEE Trans. Parallel Distributed Syst., 2022
SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates.
CoRR, 2022
Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations.
CoRR, 2022
Proceedings of the WNS3 2022: 2022 Workshop on ns-3, Virtual Event, USA, June 22, 2022
Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5.
Proceedings of the SC22: International Conference for High Performance Computing, 2022
Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022
CEAZ: accelerating parallel I/O via hardware-algorithm co-designed adaptive lossy compression.
Proceedings of the ICS '22: 2022 International Conference on Supercomputing, Virtual Event, June 28, 2022
Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
TAC: Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations.
Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022
2021
IEEE Trans. Commun., 2021
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression.
Proc. VLDB Endow., 2021
IEEE J. Sel. Top. Signal Process., 2021
CEAZ: Accelerating Parallel I/O via Hardware-Algorithm Co-Design of Efficient and Adaptive Lossy Compression.
CoRR, 2021
CoRR, 2021
EESM-log-AR: an efficient error model for OFDM MIMO systems over time-varying channels.
Proceedings of the WNS3 2021: 2021 Workshop on ns-3, Virtual Event, USA, 2021
Slow-Time Waveform Randomization Performance under Incoherent FMCW Radar Interference.
Proceedings of the 94th IEEE Vehicular Technology Conference, 2021
Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis.
Proceedings of the 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, 2021
A novel memory-efficient deep learning training framework via error-bounded lossy compression.
Proceedings of the PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021
ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning.
Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021
Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling.
Proceedings of the HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, 2021
Optimizing Multi-Range based Error-Bounded Lossy Compression for Scientific Datasets.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021
Proceedings of the IEEE International Conference on Cluster Computing, 2021
Proceedings of the IEEE International Conference on Cluster Computing, 2021
Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights.
Proceedings of the IEEE International Conference on Cluster Computing, 2021
2020
Optimization-Based Decentralized Coded Caching for Files and Caches With Arbitrary Sizes.
IEEE Trans. Commun., 2020
An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning.
CoRR, 2020
Proceedings of the 2020 Workshop on ns-3, 2020
Cross-Layer Interference Modeling and Performance Analysis in FMCW Radar Multiple Access Network.
Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020
waveSZ: a hardware-algorithm co-design of efficient lossy compression for scientific data.
Proceedings of the PPoPP '20: 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020
Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020
Delta-DNN: Efficiently Compressing Deep Neural Networks via Exploiting Floats Similarity.
Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data.
Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020
2019
A New Order-Optimal Decentralized Coded Caching Scheme With Good Performance in the Finite File Size Regime.
IEEE Trans. Commun., 2019
Optimization-based Decentralized Coded Caching for Files and Caches with Arbitrary Size.
CoRR, 2019
DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression.
Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing, 2019
2018
Proceedings of the 16th International Symposium on Modeling and Optimization in Mobile, 2018
2017
CoRR, 2017
2016
New Order-Optimal Decentralized Coded Caching Schemes with Good Performance in the Finite File Size Regime.
CoRR, 2016
Order-Optimal Decentralized Coded Caching Schemes with Good Performance in Finite File Size Regime.
Proceedings of the 2016 IEEE Global Communications Conference, 2016