For further information, please contact the General chair: Pierre-Emmanuel Gaillardon
Hong Kong University of Science and Technology, Hong Kong
RSON: Silicon Photonic Network for Rack-Scale Computing System
The demand for more computational power by scientific computing, big data processing, and machine learning is pushing the development of HPC (high-performance computing) systems. As the basic HPC building blocks, modularized server racks with a large number of multicore nodes are facing performance and energy efficiency challenges. This talk introduces RSON, an optical network for rack-scale computing systems. RSON connects processor cores, caches, local memories, and remote memories through a novel inter/intra-chip silicon photonic network architecture. We develop a low-latency scalable channel partition and low-power dynamic path priority control scheme for RSON. APEX benchmarks show that rack-scale computing systems based on RSON can achieve about one order of magnitude higher energy efficiency comparing to the state-of-the-art systems.
Jiang Xu received his Ph.D. degree from Princeton University. From 2001 to 2002, he worked at Bell Labs, NJ, as a Research Associate and discovered the First Generation Dilemma in platform-based SoC design methodologies. He was a Research Associate at NEC Laboratories America, NJ, from 2003 to 2005 and working on Network-on-Chip designs and implementations. He joined a startup company, Sandbridge Technologies, NY, from 2005 to 2007 and worked on the development and implementation of two generations of NoC-based ultra-low power Multiprocessor Systems-on-Chip for mobile platforms. Dr. Xu established Big Data System Lab, Xilinx-HKUST Joint Lab, and OPTICS (Optical/Photonic Technology for Interconnected Computing System) Lab, at the Hong Kong University of Science and Technology. He currently serves as the Associate Editor for IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Associate Editor for IEEE Transactions on Very Large Scale Integration Systems, and Area Editor of Hardware and Architecture Design for ACM Transactions on Embedded Computing Systems. He served on the steering committees, organizing committees, and technical program committees of many international conferences, including DAC, DATE, ASP-DAC, ICCAD, CASES, ICCD, CODES+ISSS, NOCS, HiPEAC, etc. Dr. Xu was an IEEE Distinguished Lecturer and an ACM Distinguished Speaker. He authored and coauthored more than 100 book chapters and papers in peer-reviewed journals and international conferences. He and his students received Best Paper Award from IEEE Computer Society Annual Symposium on VLSI in 2009, and Best Poster Award from AMD Technical Forum and Exhibition in 2010. He coauthored a book titled Algorithms, Architecture and System-on-Chip Design for Wireless Applications (Cambridge University Press). His research areas include big data system, heterogeneous computing, optical interconnection network, power delivery and management, MPSoC, low-power embedded system, hardware/software codesign.