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- short-paperDecember 2019
In-situ Data Analysis System for High Resolution Meteorological Large Eddy Simulation Model
BDCAT '19: Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, Applications and TechnologiesPages 155–158https://doi.org/10.1145/3365109.3368769In meteorology, high-resolution simulations using large eddy simulation (LES) models have attracted strong attention. In these LES models, the output data become large, because the spatio-temporal resolution is higher than that of conventional ...
- short-paperDecember 2019
Accelerating Machine Learning I/O by Overlapping Data Staging and Mini-batch Generations
BDCAT '19: Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, Applications and TechnologiesPages 31–34https://doi.org/10.1145/3365109.3368768The training dataset used in deep neural networks (DNNs) keeps on increasing. When a training dataset grows larger, the reading performance of such a large training dataset becomes a problem. A high-performance computing (HPC) cluster has high ...
- short-paperDecember 2019
Building Large-Scale Deep Learning System for Entity Recognition in E-Commerce Search
BDCAT '19: Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, Applications and TechnologiesPages 149–154https://doi.org/10.1145/3365109.3368765Named-Entity-Recognition (NER) or Item Aspect Recognition task is fundamental to e-commerce marketplace. A structured listing (i.e. item aspect and catalog) is critical to the success of the marketplace - it helps the seller to put their listings to the ...