Dingwen Tao
4 papers in the PaperMetrix corpus
Papers by this author
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Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization
2017
Today's HPC applications are producing extremely large amounts of data, such that data storage and analysis are becoming more challenging for scientific research. In this work, we design a new error-controlled lossy compression algorithm for …
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cuSZ
2020
Error-bounded lossy compression is a state-of-the-art data reduction technique for HPC applications because it not only significantly reduces storage overhead but also can retain high fidelity for postanalysis. Because supercomputers and HPC applications are becoming …
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HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs
2023 · arXiv (Cornell University)
Collaborative filtering (CF) has been proven to be one of the most effective techniques for recommendation. Among all CF approaches, SimpleX is the state-of-the-art method that adopts a novel loss function and a proper number …
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MEMQSim: Highly Memory-Efficient and Modularized Quantum State-Vector Simulation
2023
No abstract available.