Professor, Department of Computer Science, MBZUAI
Prof. Chun Jason Xue is a Professor in the Computer Science Department at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).
Biography
Prof. Chun spent three years in a Silicon Valley start-up before pursuing a Ph.D. in computer science. After 16 years at the City University of Hong Kong, he joined MBZUAI in January 2024. He graduated 21 Ph.D students during his time in Hong Kong and 11 of them have gone on to become professors/associate professors.
Prof. Chun research focus is on storage and systems, and high-performance system designs for AI. He is one of the pioneer researchers to consider Non-Volatile Memories (NVMs) at the software and system level. NVM, such as Phase Changing Memory (PCM), STT-RAM, and FeRAM, shows huge potential because of its characteristics of high density, shock-resistance, and near-zero leakage power. NVM has shortcomings such as long write latency, high write energy, and limited endurance. This property of asymmetric read/write operations poses unique challenges. His works (DAC’10, DAC’11) address read/write asymmetry from the system and software level when NVM is applied in the memory hierarchy. NVM writes are further calibrated with different intensities (LCTES’13, DATE’13), which leads to optimized power consumption, performance, and lifetime. These works have profound impacts on widely applied commercial products such as Intel 3D X-point memory and TI MSP series today.
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About Chun Jason Xue
Prof. Chun Jason Xue is a Professor in the Computer Science Department at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).
Biography
Prof. Chun spent three years in a Silicon Valley start-up before pursuing a Ph.D. in computer science. After 16 years at the City University of Hong Kong, he joined MBZUAI in January 2024. He graduated 21 Ph.D students during his time in Hong Kong and 11 of them have gone on to become professors/associate professors.
Prof. Chun research focus is on storage and systems, and high-performance system designs for AI. He is one of the pioneer researchers to consider Non-Volatile Memories (NVMs) at the software and system level. NVM, such as Phase Changing Memory (PCM), STT-RAM, and FeRAM, shows huge potential because of its characteristics of high density, shock-resistance, and near-zero leakage power. NVM has shortcomings such as long write latency, high write energy, and limited endurance. This property of asymmetric read/write operations poses unique challenges. His works (DAC’10, DAC’11) address read/write asymmetry from the system and software level when NVM is applied in the memory hierarchy. NVM writes are further calibrated with different intensities (LCTES’13, DATE’13), which leads to optimized power consumption, performance, and lifetime. These works have profound impacts on widely applied commercial products such as Intel 3D X-point memory and TI MSP series today.
| Present | Professor, Mohamed bin Zayed University of Artificial Intelligence ‐ Department of Computer Science | |
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Disciplines
Research Interests
Professional Service and Affiliations
| Associate Editor, ACM Transactions on CPS | Associate Editor, ACM Transactions on Embedded Computing Systems (TECS) | Associate Editor, ACM Transactions on Storage (TOS) |
Honors and Awards
- IEEE NVMSA Best Paper Award 2023
- ACM Distinguished Member 2021
- ACM Hotstorage Best Paper Award 2021
- Outstanding Supervisor Award 2018
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