Jiang Xu

Hong Kong University of Science and Technology, Hong Kong

Rejuvenate Post-Moore's Law Computing with Photonics-Electronics Integration

Abstract

Computing systems, from data center and HPC to smart phone and electrical vehicle, are integrating growing numbers of processors, accelerators, memories, and peripherals to meet the burgeoning performance requirements of new applications under tight cost, energy, thermal, space, and weight constraints. Silicon photonics piggybacks onto matured fabrication technologies to provide viable and cost-effective solutions. Based on our decade-long quest to transform computing systems with photonics, this talk will highlight our recent progresses on photonics-electronics integrations that can rejuvenate post-Moore’s Law computing. Photonic-electronic integrations open up new opportunities to applications, architectures, design techniques, and design automation tools.

Biography

Jiang Xu received his PhD from Princeton University and worked at Bell Labs, NEC Labs, and a startup company where he developed two generations of NoC-based MPSoC before joining the Hong Kong University of Science and Technology (HKUST). He is the Founding Department Head of Microelectronics Thrust at HKUST(GZ) and Founding Director of Xilinx-HKUST Joint Lab. Jiang is the Guangzhou Chapter Founding Chair of IEEE Council on EDA. He serves as the Associate Editor for IEEE TCAD and on the steering committees, organizing committees, and technical program committees of many international conferences, including OFC, DAC, DATE, ICCAD, CASES, ICCD, CODES+ISSS, NOCS, HiPEAC, ASP-DAC, etc. Jiang is awarded IEEE Computer Society Distinguished Contributor as the Charter Member in 2021. He was an IEEE Computer Society Distinguished Visitor and an ACM Distinguished Speaker. He authored and coauthored more than 150 book chapters and papers in peer-reviewed international journals and conferences. Jiang and his students received Best Paper Award from the International Symposium on Memory Systems in 2023, IEEE Technical Committee on VLSI Best Paper Award of ISVLSI in 2018, and Best Poster Award from AMD Technical Forum and Exhibition in 2010. His research areas include machine learning system, photonic-electronic codesign, optical interconnection network, power delivery and management, MPSoC, low-power embedded system, hardware/software codesign.