In 2017 and 2022, I was awarded with IEEE HPC early career award and IEEE mid-career award for scalable computing, respectively. I was also awarded with 2022 Alibaba Gloab Faculty Award (AIR), 2022 SOAR Fellowship, 2022/2021 Google Brain Collaboration Award, 2021 Facebook faculty award, 2020 Australia's Most Innovative Engineer Award and a ACM distinguished speaker. I am also a Lawrence Scholar and a recipient of Paul E. Torgersen Excellent research award, a 2018 DOE pathway to excellence research award, 2015 and 2017 DOE PNNL lab outstanding research award, two Supercomputing (IEEE/ACM SC) best paper runners-up (2015 and 2017), and 2017 HiPEAC paper award. I have published in the top HPC and computer architecture conferences including ISCA, HPCA, ASPLOS, MICRO, and Supercomputing (SC). My past and current research has been supported by Microsoft, Google, NVIDIA, Intel, U.S. government agencies including DOE office of science (ASCR), DoD, DARPA and DoE Lab LDRD, and Australian Research Council (ARC). During my tenure at PNNL, I led two DOE lab LDRD projects on AI-driven architecture design and large-scale data analytics acceleration. At University of Sydney, I run Future System Architecture (FSA) Lab with my wonderful students. Currently, we are actively working with our collaborators from UW Seattle, UT Austin, NYU, Google Brain, Facebook Reality Lab and Alibaba Research. In my spare time, I am also consulting for tech startups.
I do research at the boundary of system software and hardware, breaking down abstraction barriers, and rethinking the hardware–software interface. I have a particular interest of holistic system design and software-hardware co-design. More broadly, my expertise lies in the general areas of computer system architecture and high performance computing (HPC). I hold the strong belief that future beyond Moore’s system architectures will become increasingly heterogeneous which demands new software (programming system, compiler, runtime) and hardware design paradigm to accommodate such complex many-accelerator integrated systems. As a computer system researcher, I am inspired to push the concept of co-design to create efficient and scalable solutions for emerging systems and applications, including future planet-scale Extended-Reality (XR) system, System ML and AI-driven System Designs, and even future quantum accelerator based heterogeneous architectures., In the recent years, with my amazing students and collaborators, we have published some of the first papers (HPCA'17, HPCA'18, HPCA'19, ISCA'19, ASPLOS'21, HPCA'23) on future VR system characterizations and system-level design & optimizations (including both multi-accelerator based HMD SoC and cloud server designs) in the field of computer architecture. Additionally, my recent work in industry research on machine learning system optimizations and scalability are being delopyed to real-world large-scale enterprise usage for millions of users.