ABSTRACT: This talk begins with a brief review of HPC development in China in the past decades and a discussion on the role of computing in enabling problem-solving. The new demands and challenges raised by big data (BD) and artificial intelligence (AI) applications to computing are presented. Some critical issues in establishing the computing the next computing infrastructure under the circumstance of “East-west Computing transfer” strategic project are discussed. Finally, the task of building CNGrid-NG, the next generation supercomputing infrastructure of China is proposed.

BIO: Qian Depei, professor of Beihang University, fellow of CCF, academician of Chinese Academy of Sciences. He has served as a member of the expert group of the National High-tech R&D Program (the 863 program) and the National Key R&D Program in information technology since 1996 and led several key national projects on high performance computing.

He has been working on computer architecture and computer networks for many years. His current research interests include high performance computer architecture and implementation technologies, distributed systems, network computing, and multicore/manycore programing. He has published more than 400 papers in journals and conferences.

ABSTRACT: Climate change and energy crisis are two of the biggest global issues of our time. It is critical to develop computing techniques that do not compromise the wellbeing of future generations. To reduce IT carbon footprint, and to support emerging data-analytic workloads that tend to scale well with large number of compute nodes, there is a heightening demand for green high-performance computing and communication systems. In this talk we would like to share our views on the design methodologies for sustainable computing. We divide sustainable computing system design into three layers and present the opportunities that each layer faces. We also discuss the deep challenges that must be addressed in the sustainable computing era. First, a new resource management abstraction for gaining visibility into the underlying infrastructure is needed. In addition, a framework that synergistically combines various software/hardware tuning knobs at each layer is necessary. Finally, it is time to develop appropriate autonomic control schemes to handle the dynamicity and complexity of the cloud. The above methodology constitutes the initial idea of a “Energy-Architecture-Workload” co-designed approach, which will lead to a more environmentally friendly digital infrastructure, as required by the ongoing shift in computing paradigm.

BIO: Prof. Minyi Guo is currently a Zhiyuan Chair Professor at the Department of Computer Science and Engineering of Shanghai Jiao Tong University (SJTU), China, and was the department head from 2009 to 2019. His research spans parallel/distributed computing, computer architecture, compiler optimization, cloud computing, and big data. He received the National Science Fund for Distinguished Young Scholars from NSFC in 2007, and he was appointed as the Chief Scientist of the prestigious 973 Program in 2014. He is the Editor-in-Chief of IEEE Transactions on Sustainable Computing (TSUSC), and he has served as General/Program Chair of many well-established IEEE conferences. Prof. Guo has published 8 books and 500+ publications in premier journals/conferences and a dozen of best paper awards. Prof. Guo has received numerous prestigious government/industry awards, including the Chinese National Award for Technological Invention, and the IEEE TCSC Technical Achievement Award for Excellence in Scalable Computing, etc. He is a foreign member of the Academia Europaea, a Fellow of IEEE and CCF, and an ACM Distinguished Scientist.

ABSTRACT: As humans, things, software and AI continue to become the entangled fabric of distributed systems, systems engineers and researchers are facing novel challenges. In this talk, we analyze the role of IoT, Edge, Cloud, and Human-based Computing as well as AI in the co-evolution of distributed systems for the new decade. We identify challenges and discuss a roadmap that these new distributed systems have to address. We take a closer look at how a cyber-physical fabric will be complemented by AI operationalization to enable seamless end-to-end distributed systems.

BIO: Schahram Dustdar is Full Professor of Computer Science, he is also the director of distributed Systems Research at the Vienna Technical University, heading the Research Division of Distributed Systems at the TU Wien, Austria. He has an H-index of 78 with some 36,000 citations. He holds several honorary positions: University of California (USC) Los Angeles; Monash University in Melbourne, Shanghai University, Macquarie University in Sydney, University Pompeu Fabra, Barcelona, Spain. From Dec 2016 until Jan 2017 he was a Visiting Professor at the University of Sevilla, Spain and from January until June 2017 he was a Visiting Professor at UC Berkeley, USA. From 1999 – 2007 he worked as the co-founder and chief scientist of Caramba Labs Software AG in Vienna (acquired by Engineering NetWorld AG), a venture capital co-funded software company focused on software for collaborative processes in teams. Caramba Labs was nominated for several (international and national) awards: World Technology Award in the category of Software (2001); Top-Startup companies in Austria (CapGemini Ernst & Young) (2002); MERCUR Innovation award of the Austrian Chamber of Commerce (2002). He is founding co-Editor-in-Chief of ACM Transactions on Internet of Things (ACM TIoT) as well as Editor-in-Chief of Computing (Springer). He is an Associate Editor of IEEE Transactions on Services Computing, IEEE Transactions on Cloud Computing, ACM Computing Surveys, ACM Transactions on the Web, and ACM Transactions on Internet Technology, as well as on the editorial board of IEEE Internet Computing and IEEE Computer. Dustdar is recipient of multiple awards: IEEE TCSVC Outstanding Leadership Award (2018), IEEE TCSC Award for Excellence in Scalable Computing (2019), ACM Distinguished Scientist (2009), ACM Distinguished Speaker (2021), IBM Faculty Award (2012). He is an elected member of the Academia Europaea: The Academy of Europe, where he is chairman of the Informatics Section, as well as an IEEE Fellow (2016) and an Asia-Pacific Artificial Intelligence Association (AAIA) Fellow (2021).

ABSTRACT: Sensing collects data for information, communications transports data for spot data consumption, computing enables data processing and intelligence extraction for decision making and control, while storage provides flexible buffering for optimal scheduling and content distribution, all together providing services for better quality of life. We observe an emerging paradigm shift: network technology is no longer just for message exchanges, rather becomes a utility as the consequence of the convergence of sensing, communications, computing, storage and intelligence (SCCSI), pushing needed services closer to the customers. In this talk, the speaker will present his view on how to put all pieces together and beef up the edge to intelligentize the life dependable systems.

BIO: Dr. Yuguang "Michael" Fang received MS degree from Qufu Normal University, Shandong, China in 1987, PhD degree in Systems and Control Engineering from Case Western Reserve University in 1994 and PhD degree in Electrical and Computing Engineering from Boston University in 1997. He was an assistant professor in the Department of Electrical and Computer Engineering at New Jersey Institute of Technology from 1998 to 2000. He then joined the Department of Electrical and Computer Engineering at University of Florida in 2000 as an assistant professor, then was promoted to an associate professor in 2003 and a full professor in 2005 and has been a distinguished professor since 2019. He holds University of Florida Preeminence Term Professorship (2019-2022), University of Florida Research Foundation (UFRF) Professorship (2006-2009, 2017-2020), and University of Florida Term Professorship (2017-2019, 2019-2021).

Dr. Fang received the US National Science Foundation Career Award in 2001 and the Office of Naval Research Young Investigator Award in 2002, 2018 IEEE Vehicular Technology Outstanding Service Award, 2019 Communications Society AHSN Technical Achievement Award, 2015 IEEE Communications Society CISTC Technical Recognition Award, 2014 IEEE Communications Society WTC Recognition Award, and multiple Best Paper Awards from IEEE Globecom (2015, 2011 and 2002) and IEEE ICNP (2006). He has also received the 2019 ECE Faculty Excellence Award in Research, 2010-2011 UF Doctoral Dissertation Advisor/Mentoring Award, and the 2009 UF College of Engineering Faculty Mentoring Award. He served as the Editor-in-Chief of IEEE Transactions on Vehicular Technology (2013-2017) and IEEE Wireless Communications (2009-2012), and serves/served on several editorial boards of journals including the Proceedings of the IEEE (2018-present), ACM Computing Surveys (2017-present), IEEE Transactions on Mobile Computing (2003-2008, 2011-2016), IEEE Transactions on Communications (2000-2011), and IEEE Transactions on Wireless Communications (2002-2009). He has been actively participating in conference organizations such as serving as the Technical Program Co-Chair for IEEE INFOCOM’2014 and the Technical Program Vice-Chair for IEEE INFOCOM'2005. He is the Director of Magazines of IEEE Communications Society and a Distinguished Speaker of IEEE Vehicular Technology. He is a fellow of the IEEE (2008) and a fellow of the American Association for the Advancement of Science (AAAS) (2015).

ABSTRACT: The detection of software vulnerabilities is a significant problem that has yet to be tackled, as manifested by the many vulnerabilities reported on a daily basis. The wide reuse of open-source software and the increasing complexity of software supply-chains make the problem of detecting software vulnerabilities even more imperative. This talk will discuss our recent researches on deep learning-based vulnerability detection for open-source software, beginning with the first deep learning-based vulnerability detector for library/API-related vulnerabilities. Then this talk will present a multiclass deep learning-based vulnerability detector, a framework for deep learning-based vulnerability detection, and a fine-grained vulnerability detector for locating vulnerable statements. Finally, this talk will also discuss a practical method toward tackling the interpretability of the deep learning model in vulnerability detection.

BIO: Deqing Zou is a Professor and an Executive Dean in the School of Cyber Science and Engineering at Huazhong University of Science and Technology, Wuhan, China. His research interest lies in system security, trusted computing, virtualization and cloud security. He has received an Excellent Teacher of National Cyber Security and a Winner of Education Ministry's New Century Excellent Talents Program.  He has co-authored four books and published over 100 refereed journal and conference papers in his research areas, including IEEE TDSC, IEEE TPDS, ACM TOSEM, NDSS, ASE, ASPLOS, etc. He has served as a reviewer for many prestigious journals such as IEEE TDSC, IEEE TOC, IEEE TPDS, and IEEE TCC. He has also served as PC chair/PC member of more than 40 international conferences.

ABSTRACT: Approximately 80% of data are generated at the edge in 2030 compared to 20% in 2015. It is estimated that less than 2% of the data generated from IoT devices are used in 2020 and less than 0.5% will be used in 2030. AI computing are evolving from centralized cloud Server to Edge Servers to Edge Devices as distributed computing. Today, most machine learning algorithms are designed to be calculated in a single processor/device, so people are not taking advantage of all computational power in their house.There are many Open Source machine learning Algorithms available online, however, accurate, trained ML models are not public, datasets are not public and can contain sensitive customer data. Our vision is to build an Open, Creative, Secured AI Ecosystem. While cloud computing requires high performance, edge computing needs low power consumption.Compared with CPU, FPGA, and GPU, ASIC has great advantages in terms of computing efficiency, size, and cost.VeriSilicon provides platform-based, all-round, one-stop custom silicon services and semiconductor IP licensing.

BIO: Dr. Wayne Dai founded VeriSilicon in August 2001 and has been the chairman, president and chief executive officer of the company. Dr. Dai received a bachelor's degree in computer science and a doctorate in electronic engineering from the University of California, Berkeley, and was a professor in the Department of Computer Engineering at the University of California, Santa Cruz.

Dr. Dai is the founding chairman of the World Association of Electronic Engineers International Conference on Multi-chip Modules, the founding chairman of the World Association of Electronic Engineers Seminar on Integrated Design of Chip Packaging, and the co-chair of the Program Committee of the 2010 International Green Energy Forum.He has served as the associate editor of the World Association of Electronics Engineers Circuit and System Papers Monthly and VLSI System Papers Monthly, and has published more than 100 papers in various technical journals and conferences. In 1990, he was awarded the US Presidential Youth Research Award.Dr. Dai was awarded the title of “Top 10 Entrepreneurs in China” in 2005 and was elected as “Top Ten Talents in Science and Technology in China in 2005”. Best Manager Award, Hurun Report 2014 China Industry Contribution Award, 2018 Global Electronic Achievement Award for Asia-Pacific Innovative Person of the Year, "Shanghai Smart City Construction Leader" honorary title, 2019 Global Electronic Achievement Award for Outstanding Contributor of the Year prize.Currently, Dr. Dai serves as the vice chairman of the Global Innovation Center, the executive vice chairman of the International Alliance of Innovation and Technology, the vice chairman of the Integrated Circuit Design Branch of the China Semiconductor Industry Association, the chairman of the China RISC-V Industry Alliance, and a member of the Expert Committee of the Automotive Electronics Industry Alliance, Shanghai Deputy Director of the Expert Committee of the Municipal Integrated Circuit Industry Cluster Development Promotion Agency.

ABSTRACT: At present, 5G, big data and artificial intelligence have become the leading and driving force in the construction of smart cities. With the gradual maturity of digital twin technology and the continuous improvement of urban digital infrastructure, especially with the rise of "Metaverse", smart cities are facing new development opportunities. In the future, the deep integration of digital technology will significantly improve the efficiency of urban governance, complement the shortcomings of the city, strengthen the global intelligence, and truly realize the intelligent and sustainable development of the city.

BIO: Jinzhou Yang graduated from Beijing University of Posts and Telecommunications with a master's degree. He is the chief consultant of China Unicom's digital economy and the director of the Smart City Research Office in China Unicom Research Institute. His main research directions are industrial Internet business, smart city top-level design, blockchain and digital economy planning., with nearly 20 provincial and municipal smart city and digital government-related top-level designs and more than 70 industry solutions experience. Jinzhou Yang is also an ITU standard expert, member of national smart city standardization overall group and "Internet +" alliance. He has successively obtained the certification of cloud computing and big data senior architect and planner issued by the Talent Exchange Center of the Ministry of Industry and Information Technology. Besides, he patented more than 30 inventions and published many papers on smart city, blockchain and big data.

ABSTRACT: Nowadays, the Internet of Things（IoT） is a hot spot in the field of intelligent manufacturing. Many companies are joining the wave of entrepreneurship in IoT products, however, there are very few companies that are truly profitable, especially those that can obtain value-added services from the IoT industry for a long time. CEC Industrial Internet Platform, which name Bach OS. is an industrial Internet platform established by CEC group based on the PKS autonomous and controllable software and hardware system. Bach OS has developed a large number of industrial Internet services in different regions and industries. Among them, the CEC Fujian Industrial Cloud Platform is a regional industry cloud platform operated by CEC FreundSchaft Technology Co., Ltd., a three-tier subsidiary of CEC Group, serving the footwear and textile industries.

A series of explorations have been carried out on the industry and finance platform based on the IoT. The platform focuses on three core capabilities of smart hardware, smart risk control, and IoT finance. It supervises the main production factors of manufacturing enterprises through the IoT in real time. Through cooperation with Baidu Smart Cloud, it integrates IoT finance and risk control evaluation capabilities. Connect to the CEC Fujian Industrial Internet platform to build big data for industry and finance, and realize cloud-based intelligent risk control and credit evaluation capabilities. By strengthening the physical perception, precise positioning, real-time monitoring, dynamic measurement, and automatic early warning of production equipment and materials, the intelligent perception of production factor financing, full-process tracking management, standardized supervision and operation are realized, and the reform of financial risk control is accelerated to make offline Online finance, innovating an ecological model of real-time controllable integration of finance and entities.

BIO: Dr. Xia Gang, born in Hangzhou, Zhejiang Province in 1975, graduated from the National University of Defense Technology with a PhD in Aircraft Design. He used to be a professor at the National University of Defense Technology, a visiting scholar at the School of Mechanical Engineering of the Technical University of Munich, Germany, now a researcher-level senior engineer of China Electronics Corporation, a member of the CEC group science and technology committee.

In 2018, Dr. Xia joined CEC Industrial Internet Co., Ltd.in Changsha, Hunan Province, a secondary enterprise of China Electronics Group, as the deputy general manager. In 2019, he concurrently served as Chairman of CEC FreundSchaft Technology Co., Ltd. In Fujian Province.

Dr. Xia Gang has made important contributions to the company's initial development after entering CEC Industrial Internet Co., Ltd. Especially since he became the chairman of CEC FreundSchaft in 2019, he has actively promoted the implementation of intelligent manufacturing and industrial Internet in Fujian Province. The company's technological level has been continuously improved, and the intelligent manufacturing solutions have been improved in more than 100 factories. In 2019, the large-scale personalized customized solution for the footwear industry was awarded the Industrial Internet Innovative Application Solution of the Ministry of Industry and Information Technology. Out of the 1457 projects in the 2nd China Industrial Internet Competition organized by the Ministry of Industry and Information Technology in 2020, Dr. Xia won the second place in the newcomer group. In 2020, he was awarded the Science and Technology Talent Award (civilian category) of CEC Group. In April 2021, Xia Gang was rated as a provincial-level talent in Fujian Province's tens of millions of projects.