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Jiaolin Luo is an admitted Ph.D student in University of California Merced. She had worked in industry for years before she began to pursue her Ph.D degree. Her researches concentrate on persistent memory, system architecture, optimization methods and artificial intelligence. Currently, she has the interests in the impact of persistent memory on HPC architectures, the researches of how persistent memory impacts on next-generation HPC architectures, and performance optimization based on machine learning and deep learning.
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