November 6th, 2022, Begin at 8 am UTC-5
Time	Event	Video
	OpenBench Workshop https://www.benchcouncil.org/bench2022/openbench.html With the continuous development of the global open source ecosystem, it has witnessed the explosive growth of various event data generated by rich open source ecological activities. We collectively refer to it as open source ecological big data, which can support very rich tasks at different levels, from system tasks, to algorithm tasks, to applications and business, forming a complete benchmark hierarchy. OpenBench workshop invites researchers and practitioners from industry, academia, associations, and government organizations to explore this cutting-edge direction, including but not limit to the topics around OSS metrology and measurement methods, OSS measurement data standards, quality and governance, definition and classification of OSS ecological benchmarks, OpenBench standard datasets and analysis tasks, OpenBench indicator system and benchmarking system, application scenarios and cases of open source ecological benchmarking, Interdisciplinary theory of open source ecological benchmarking, Data-driven open source skills measurement and open source education evaluation, etc.
UTC-5 (New York), 07:50-08:00 UTC (London), 12:50-13:00 UTC+8 (Beijing), 20:50-21:00	Opening remarks	[Video]
UTC-5 (New York), 08:00-08:20 UTC (London), 13:00-13:20 UTC+8 (Beijing), 21:00-21:20	Evolution of CHAOSS: How we got where we are from our beginnings Sean P. Goggins, Professor, University of Missouri
UTC-5 (New York), 08:20-08:40 UTC (London), 13:20-13:40 UTC+8 (Beijing), 21:20-21:40	Data-driven of Open Source & InnerSource community build evaluation Willem Jiang, Open Source Expert of Huawei, Mentor of Huawei InnerSource Foundation, Board Director of Apache Software Foundation	[Slides] [Video]
UTC-5 (New York), 08:40-09:00 UTC (London), 13:40-14:00 UTC+8 (Beijing), 21:40-22:00	Open Source Security: Challenges, Solutions, and Opportunities Yang LIU, Professor, Nanyang Technological University	[Slides] [Video]
UTC-5 (New York), 09:00-09:20 UTC (London), 14:00-14:20 UTC+8 (Beijing), 22:00-22:20	Explore the Use of Data Heuristics in OSPO work Richard Sikang Bian, Head of Open-Source Program Office (OSPO), Technical Strategy Expert of Ant Group	[Slides] [Video]
UTC-5 (New York), 09:20-09:40 UTC (London), 14:20-14:40 UTC+8 (Beijing), 22:20-22:40	Commercial Participation in OSS: Models, Collaborations, and Turnover Yuxia Zhang, Assistant professor at school of computer science & technology, Beijing Institute of Technology (BIT)	[Slides] [Video]
UTC-5 (New York), 09:40-10:00 UTC (London), 14:40-15:00 UTC+8 (Beijing), 22:40-23:00	Model-informed Automatic Quality Assessment for Open Datasets Jidong Tian & Yaohui Jin, Shanghai Jiao Tong University	[Slides] [Video]
UTC-5 (New York), 10:00-10:20 UTC (London), 15:00-15:20 UTC+8 (Beijing), 23:00-23:20	Community Responsiveness Studies with Apache DevLake Chenhui Zhang, Data Science Lead, Merico DevInsight	[Slides] [Video]
UTC-5 (New York), 10:20-10:40 UTC (London), 15:20-15:40 UTC+8 (Beijing), 23:20-23:40	Measuring qualitative data with predictability Samantha Venia Logan, Expert in Online Community Management and full-stack marketing	[Slides] [Video]
UTC-5 (New York), 10:40-11:00 UTC (London), 15:40-16:00 UTC+8 (Beijing), 23:40-24:00	Round table (discussion) & Closing Remarks

November 7th, 2022, Begin at 8 am UTC-5
Time	Event	Video
UTC-5 (New York), 08:00 –08:10 UTC (London), 13:00 – 13:10 UTC+8 (Beijing), 21:00 –21:10	Opening Remark
	Bench and Tbench joint Session 1: Architecture & System Session chair: Dr. Biwei Xie (ICT, CAS)
UTC-5 (New York), 08:10 - 08:25 UTC (London), 13:10 – 13:25 UTC+8 (Beijing), 21:10 –21:25	A Quantitative Analysis of OpenMP Task Runtime Systems Sascha Hunold (TU Wien), Klaus Kraßnitzer (TU Wien)	[Video]
UTC-5 (New York), 08:25 - 08:40 UTC (London), 13:25 – 13:40 UTC+8 (Beijing), 21:25 –21:40	EAIBench: An Energy Efficiency Benchmark for AI Training Fan Zhang (Institute of Computing Technology, Chinese Academy of Sciences), Chuanxin Lan (Institute of Computing Technology, Chinese Academy of Sciences), Lei Wang (Institute of Computing Technology, Chinese Academy of Sciences), Fei Tang (Institute of Computing Technology, Chinese Academy of Sciences), Shaopeng Dai (Institute of Computing Technology, Chinese Academy of Sciences), Jiangtao Wang (Huawei), Jiantao Ma (Huawei), Jianfeng Zhan (Institute of Computing Technology, Chinese Academy of Sciences)	[Slides] [Video]
UTC-5 (New York), 08:40 - 08:55 UTC (London), 13:40 – 13:55 UTC+8 (Beijing), 21:40 –21:55	Are current benchmarks adequate to evaluate distributed transactional databases [PDF] Luyi Qu (East China Normal University), Qingshuai Wang (East China Normal University), Ting Chen (East China Normal University), Keqiang Li (East China Normal University), Rong Zhang (East China Normal University), Xuan Zhou (East China Normal University), Quanqing Xu (OceanBase), Zhifeng Yang (OceanBase), Chuanhui Yang (OceanBase), Weining Qian (East China Normal University), Aoying Zhou (East China Normal University)	[Slides] [Video]
UTC-5 (New York), 08:55 - 09:10 UTC (London), 13:55 – 14:10 UTC+8 (Beijing), 21:55 –22:10	Asynchronous memory access unit for general purpose processors [PDF] Luming Wang (Institute of Computing Technology, Chinese Academy of Sciences), Xu Zhang (Institute of Computing Technology, Chinese Academy of Sciences), Tianyue Lu (Institute of Computing Technology, Chinese Academy of Sciences), Mingyu Chen (Institute of Computing Technology, Chinese Academy of Sciences)	[Slides] [Video]
UTC-5 (New York), 09:10 - 09:25 UTC (London), 14:10 – 14:25 UTC+8 (Beijing), 22:10 –22:25	A systematic review on Blockchain Technology for financial services: enablers, features, and futuristic potentials [PDF] Mohd Javaid (Jamia Millia Islamia), Abid Haleem (Jamia Millia Islamia), Ravi Pratap Singh (DR B R Ambedkar National Institute of Technology, Jalandhar), Rajiv Suman (G.B. Pant University of Agriculture & Technology), Shahbaz Khan (GLA University)	[Slides] [Video]
UTC-5 (New York), 09:25 - 09:40 UTC (London), 14:25 – 14:40 UTC+8 (Beijing), 22:25 –22:40	MSDBench: Understanding the Performance Impact of Isolation Domains on Microservice-based IoT Deployments Sierra Wang (University of California Santa Barbara), Chandra Krintz (University of California Santa Barbara), Rich Wolski (University of California Santa Barbara), Fatih Bakir (University of California Santa Barbara), Tyler Ekaireb (University of California Santa Barbara), Jack Pearson (University of California Santa Barbara)	[Video]
	Keynote - Award Lecture (BenchCouncil Achievement Award) Session chair: Geoffrey Fox (Indiana University)
UTC-5 (New York), 09:40 - 10:20 UTC (London), 14:40 – 15:20 UTC+8 (Beijing), 22:40 –23:20	Benchmarking: An Incomparable Science? John L. Henning, Secretary, SPEC CPU Subcommittee and Performance Engineer, Oracle. Abstract: Why are some of us so attracted to computer benchmarks? In part, it is the self-sustaining cycle of empirical methods: hypothesis, experiment, numerical result, which leads to the next hypothesis. But that's not good enough: instead of simply "numerical results", we need "meaningful numerical results". This talk draws lessons from the history of CPU benchmarking to reveal difficulties that are commonly encountered when trying to develop meaningful benchmarks. Bio: John L. Henning is currently a performance engineer at Oracle, Nashua, NH, USA, and has been the Secretary for the SPEC CPU Subcommittee since 1998. In his first performance optimization experience, he trimmed a DOS/360 job from 8 hours to 45 minutes.	[Slides] [Video]
	Invited Talk Session chair: Dr. Wanling Gao (ICT, CAS)
UTC-5 (New York), 10:20 - 11:00 UTC (London), 15:20 – 16:00 UTC+8 (Beijing), 23:20 –24:00	Towards Fair Machine Learning with Imperfect Information Kai Shu, Assistant Professor at Illinois Institute of Technology Abstract: Modern machine learning (ML) models are becoming increasingly popular and are widely used in decision-making systems. Though ML models are achieving great success, critical issues of ML discrimination and unfairness are revealed, which hinder their adoption on high-stake applications. Recent research on fair machine learning has drawn significant attention to develop effective algorithms to achieve fairness and good prediction performance. However, sensitive attributes are often incomplete or unavailable due to privacy, legal or regulation restrictions. In addition, practitioners trying to audit group-based criteria can easily face the problem of noisy or manipulated sensitive attributes. In this talk, we look into some of the challenges to build fair models with incomplete, unknown, and unreliable information, and urge the need for interdisciplinary research. Bio: Dr. Kai Shu is a Gladwin Development Chair Assistant Professor in the Department of Computer Science at Illinois Institute of Technology since Fall 2020. He obtained his Ph.D. in Computer Science at Arizona State University. He was the recipient of the 2020 ASU Engineering Dean’s Dissertation Award, 2021 Google Cloud Research Credits Award, 2021 Finalist of Meta Research Faculty Award, 2021 Finalist of BenchCouncil Distinguished Doctoral Dissertation Award, 2022 Cisco Research Faculty Award, 2022 AMiner AI 2000 Most Influential Scholar Honorable Mention, and 2022 Baidu AI Global High-Potential Young Scholar Award. His research addresses challenges varying from big data, to social media, and to trustworthy AI on issues on fake news detection, social network analysis, cybersecurity, and health informatics. He has published innovative works in highly ranked journals and top conference proceedings such as ACM KDD, SIGIR, WSDM, WWW, EMNLP, NAACL, CIKM, IEEE ICDM, IJCAI, and AAAI. More can be found at http://www.cs.iit.edu/~kshu/.	[Video]

November 8th, 2022, Begin at 8 am UTC-5
Time	Event	Video
	Session 2: Algorithm & Dataset Session chair: Yuke Li (UC Merced)
UTC-5 (New York), 08:00 - 08:15 UTC (London), 13:00 – 13:15 UTC+8 (Beijing), 21:00 –21:15	ShoeMaster: A Benchmark for Sketch2Image Translation of Shoes Shiyuan Xu (Beijing Institute of Fashion Technology), Yingjie Shi (Beijing Institute of Fashion Technology), Tong Feng (Beijing Institute of Fashion Technology), Huayi Yuan (Beijing Institute of Fashion Technology)	[Slides] [Video]
UTC-5 (New York), 08:15 - 08:30 UTC (London), 13:15 – 13:30 UTC+8 (Beijing), 21:15 –21:30	Open Source Software Supply Chain Recommendation Based on Heterogeneous Information Network Lin HaiMing (Tongji University), LIANG Guanyu (Institude of Software Chinese Academy of Science), WU Yanjun (Institude of Software Chinese Academy of Science), WU Bin (Institude of Software Chinese Academy of Science), TIAN Chunqi (Tongji University), WANG Wei (East China Normal University)	[Video]
UTC-5 (New York), 08:30 - 08:45 UTC (London), 13:30 – 13:45 UTC+8 (Beijing), 21:30 –21:45	BasicTS: An Open Source Fair Multivariate Time Series Prediction Benchmark Yubo Liang (Institute of Computing Technology, Chinese Academy of Sciences), Zezhi Shao (Institute of Computing Technology, Chinese Academy of Sciences), Fei Wang (Institute of Computing Technology, Chinese Academy of Sciences), Zhao Zhang (Institute of Computing Technology, Chinese Academy of Sciences), Tao Sun (Institute of Computing Technology, Chinese Academy of Sciences), Yongjun Xu (Institute of Computing Technology, Chinese Academy of Sciences)	[Slides] [Video]
UTC-5 (New York), 08:45 - 09:00 UTC (London), 13:45– 14:00 UTC+8 (Beijing), 21:45 –22:00	Benchmarking Object Detection Models with Mummy Nuts Dataset Darren Ng (University of California, Merced), Colin Schmierer (University of California, Merced), Andrew Lin (University of California, Merced), Benny Liu (Valley Christian High School), Lisa Yu (Santa Margarita Catholic High School), Shawn Newsam (University of California, Merced), Reza Ehsani (University of California, Merced), Xiaoyi Lu (University of California, Merced)	[Slides] [Video]
	TBench Session 2: Server & Edge Session chair: Dr. Zhen Jia (AWS)
UTC-5 (New York), 09:00 - 09:15 UTC (London), 14:00–14:15 UTC+8 (Beijing), 22:00 –22:15	An efficient encrypted deduplication scheme with security-enhanced proof of ownership in edge computing [PDF] Yukun Zhou (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences), Zhibin Yu (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences), Liang Gu (Sangfor Technologies Inc), Dan Feng (Huazhong University of Science and Technology)	[Video]
UTC-5 (New York), 09:15 - 09:30 UTC (London), 14:15– 14:30 UTC+8 (Beijing), 22:15 –22:30	Training, testing and benchmarking medical AI models using Clinical AIBench [PDF] Yunyou Huang (Guangxi Normal University), Xiuxia Miao (Guangxi Normal University), Ruchang Zhang (Guangxi Normal University), Li Ma (Guilin Medical University), Wenjing Liu (Guangxi Normal University), Fan Zhang (Institute of Computing Technology, Chinese Academy of Sciences), Xianglong Guan (Guangxi Normal University), Xiaoshuang Liang (Guangxi Normal University), Xiangjiang Lu (Guangxi Normal University), Suqing Tang (Guangxi Normal University), Zhifei Zhang (Capital Medical University)	[Slides] [Video]
UTC-5 (New York), 09:30 - 09:45 UTC (London), 14:30–14:45 UTC+8 (Beijing), 22:30 –22:45	Performance and energy consumption tradeoff in server consolidation [PDF] Belen Bermejo (Universitat de les Illes Balears), Carlos Juiz (Universitat de les Illes Balears)	[Slides] [Video]
UTC-5 (New York), 09:45 - 10:00 UTC (London), 14:45– 15:00 UTC+8 (Beijing), 22:45 –23:00	Understanding Hot Interconnects with an Extensive Benchmark Survey [PDF] Yuke Li (University of California, Merced), Hao Qi (University of California, Merced), Gang Lu (Tencent), Feng Jin (Tencent), Yanfei Guo (Argonne National Laboratory), Xiaoyi Lu (University of California, Merced)	[Video]
	Keynote - Award Lecture (BenchCouncil Rising Star Award) Session chair: Dr. Peter Mattson (Google)
UTC-5 (New York), 10:00 - 10:40 UTC (London), 15:00– 15:40 UTC+8 (Beijing), 23:00 –23:40	Rethinking Benchmarking in AI: Evaluation-as-a-Service and Dynamic Adversarial Data Collection Douwe Kiela, the Head of Research at Hugging Face and Adjunct Professor at Stanford University Abstract: The current benchmarking paradigm in AI has many issues: benchmarks saturate quickly, are susceptible to overfitting, contain exploitable annotator artifacts, have unclear or imperfect evaluation metrics, and do not measure what we really care about. I will talk about my work on trying to rethink the way we do benchmarking in AI. First, I'll go into our work at Hugging Face on establishing better best practices for the comprehensive evaluation of data and models, through the open source Evaluate library and the Evaluation on the Hub project. Second, I’ll talk about Dynabench, a research platform that facilitates human and model in the loop data collection and evaluation, as well as the progress the team has been making in exploring the dynamic adversarial data collection paradigm. Bio: Douwe Kiela is the Head of Research at Hugging Face. He is also an Adjunct Professor at Stanford University. Before, he was a Research Scientist at Facebook AI Research. His current research interests lie in developing better models for (grounded, multi-agent) language understanding and better tools for evaluation and benchmarking. He received his PhD and MPhil from the University of Cambridge. Before that, he did a BSc in Liberal Arts & Sciences at Utrecht University with a double major in Cognitive Artificial Intelligence and Philosophy; and an MSc in Logic at the University of Amsterdam's ILLC.	[Slides] [Video]

November 9th, 2022, Begin at 8 am UTC-5
Time	Event	Video
	Session 3: Network & Memory Session chair: Liuyao Dai (UC Merced)
UTC-5 (New York), 08:00 - 08:15 UTC (London), 13:00– 13:15 UTC+8 (Beijing), 21:00 –21:15	An Analysis of Long-tailed Network Latency Distribution and Background Traffic on Dragonfly+ Majid Salimi Beni (University of Salerno), Biagio Cosenza (University of Salerno)	[Slides] [Video]
UTC-5 (New York), 08:15 - 08:30 UTC (London), 13: 15– 13:30 UTC+8 (Beijing), 21:15 –21:30	MCCBench: A C10M Benchmark Oriented to Interactive Network Services Hui Song (Institute of Computing Technology, Chinese Academy of Sciences), Wenli Zhang (Institute of Computing Technology, Chinese Academy of Sciences), Mingyu Chen (Institute of Computing Technology, Chinese Academy of Sciences)	[Slides] [Video]
UTC-5 (New York), 08:30 - 08:45 UTC (London), 13: 30– 13:45 UTC+8 (Beijing), 21:30 –21:45	STAMP-Rust: Language and Performance Comparison to C on Transactional Benchmarks Felix Suchert (TU Dresden), Jeronimo Castrillon (TU Dresden)	[Slides] [Video]
	BenchCouncil Distinguished Doctoral Dissertation Award Session (in Computer Architecture) Session Chair: Dr. Wanling Gao (ICT, CAS)
UTC-5 (New York), 08:45 - 09:15 UTC (London), 13:45– 14:15 UTC+8 (Beijing), 21:45 –22:15	Enabling Hyperscale Web Services Akshitha Sriraman, Assistant Professor at Carnegie Mellon University
	BenchCouncil Distinguished Doctoral Dissertation Award Session (in other areas) Session Chair: Dr. Xiaoyi Lu (UC Merced)
UTC-5 (New York), 09:15 - 09:45 UTC (London), 14:15– 14:45 UTC+8 (Beijing), 22:15–22:45	Benchmarking Low-Power Wireless Networking Systems Markus Schuß, Postdoc at Graz University of Technology, Austria	[Slides] [Video]
	Best Paper Award Ceremony Session Chair: Prof. Tony Hey (Rutherford Appleton Laboratory STFC)
UTC-5 (New York), 09:45 - 09:55 UTC (London), 14:45– 14:55 UTC+8 (Beijing), 22:45 –22:55	Best Paper Award Tony Hey Best Student Paper Award

November 10th, 2022, Begin at 8 am UTC-5
Time	Event	Video
	OpenCS Workshop https://opencs.computercouncil.org/program.html The OpenCS conference is launched to promote the open-source computer system (OpenCS) initiative to build more robust open IT ecosystems. The OpenCS initiative is where open-source software converges with open-source hardware. The OpenCS essential is to utilize the characteristics of a class of representative workloads and propose innovative abstraction and methodology to co-explore the software and hardware design spaces of high-end computer systems, attaining peak performance, security, and other fundamental dimensions. The OpenCS conference encompasses a wide range of topics in exploring the software and hardware co-design space in high-end computer systems, providing an ideal environment for developers and researchers from the architecture, system, algorithm, and application communities to advance the OpenCS initiative.
UTC-5 (New York), 08:00-08:05， November 10th, 2022 UTC (London), 13:00-13:05 UTC+8 (Beijing), 21:00-21:05	Opening Remark: Prof. Jianfeng Zhan	[Slides]
UTC-5 (New York), 08:05-08:45，November 10th, 2022 UTC (London), 13:05-13:45 UTC+8 (Beijing), 21:05-21:45	Keynote(Session chair: Dr. Gang Lu) Prof. Yungang Bao Institute of Computing Technology, Chinese Academy of Sciences Title: Open-souce Xiangshan Chips	[Video]
	OpenCS initiative(Session chair: Dr. Gang Lu)
UTC-5 (New York), 08:45-08:55，November 10th, 2022 UTC (London), 13:45-13:55 UTC+8 (Beijing), 21:45-21:55	Prof. Jianfeng Zhan Institute of Computing Technology, Chinese Academy of Sciences Title: The OpenCS initiative：Challenges, methodology, and plan	[Slides] [Video]
UTC-5 (New York), 08:55-09:15，November 10th, 2022 UTC (London), 13:55-14:15 UTC+8 (Beijing), 21:55-22:15	Invited talk Dr. Wanling Gao Institute of Computing Technology, Chinese Academy of Sciences Title: The IoTs, Edges, Datacenters, Networks, and Humans-in-the-loop as a Computer: Building Open-source High Fusion Computers for Emerging and Future Applications	[Video]
UTC-5 (New York), 09:15-09:35，November 10th, 2022 UTC (London), 14:15-14:35 UTC+8 (Beijing), 22:15-22:35	Invited talk Mr. Yatao Li Senior Researcher, Microsoft Research Asia Title: AI for Science Benchmarks and Open-source Systems	[Video]
UTC-5 (New York), 09:35-09:55，November 10th, 2022 UTC (London), 14:35-14:55 UTC+8 (Beijing), 22:35-22:55	Invited talk Mr. Hainan Ye Engineer, Beijing Institute of Open Source Chip Title: Metaverse benchmarks and Open-source systems
UTC-5 (New York), 09:55-10:35，November 10th, 2022 UTC (London), 14:55-15:35 UTC+8 (Beijing), 22:55-23:35	Keynote(Session chair: Prof. Jianfeng Zhan) Prof. D. K. Panda The Ohio State University Title: Overview of the MVAPICH Project for HPC, AI, and Big Data	[Video]
	Open-source computer systems(Session chair: Dr. Zhen Jia & Dr. Xiaoyi Lu)
UTC-5 (New York), 10:35-11:00，November 10th, 2022 UTC (London), 15:35-16:00 UTC+8 (Beijing), 23:35-24:00	Invited talk Dr. Wenli Zhang Institute of Computing Technology, Chinese Academy of Sciences Title: An open-source high concurrency user-space network stack and three test tools for C10M	[Video]
UTC-5 (New York), 11:00-11:25，November 10th, 2022 UTC (London), 16:00-16:25 UTC+8 (Beijing), 24:00-24:25	Invited talk Dr. Biwei Xie Institute of Computing Technology, Chinese Academy of Sciences Title: Chip design with open-source EDA tools	[Video]
UTC-5 (New York), 11:25-11:50, November 10th, 2022 UTC (London), 16:25-16:50 UTC+8 (Beijing), 24:25-24:50	Invited talk Mr. Alexander Shirkov Senior Software Engineer, Amazon AI Title: Scaling teams ML capabilities with state-of-the-art AutoML	[Video]

November 11th, 2022, Begin at 8 am UTC-5
Time	Event	Video
	OpenCS Workshop https://opencs.computercouncil.org/program.html
	RISC-V based Open-source ecosystem(Session chair: Dr. Lei Wang)
UTC-5 (New York), 08:05-08:40, November 11th, 2022 UTC (London), 13:05-13:40 UTC+8 (Beijing), 21:05-21:40	Invited Talk Dr. Aglaia KONG CEO & CTO of LeapFive technology Title: Overcoming challenge to build RISC-V based SOC for Industrial Verticals	[Video]
UTC-5 (New York), 08:40-09:15, November 11th, 2022 UTC (London), 13:40-14:15 UTC+8, 21:40-22:15	Invited Talk Prof. Yanjun Wu Institute of Software, Chinese Academy of Sciences Title: Open-source Operating System	[Video]
	Open-source ecosystem(Session chair: Dr. Biwei Xie)
UTC-5 (New York), 09:15-09:40, November 11th, 2022 UTC (London), 14:15-14:40 UTC+8 (Beijing), 22:15-22:40	Invited Talk Mr. Yongming Wei Beijing FMSoft Technologies Co., Ltd. Title: HVML Language	[Video]
UTC-5 (New York), 09:40-10:05, November 11th, 2022 UTC (London), 14:40-15:05 UTC+8 (Beijing), 22:40-23:05	Invited Talk Dr. Wei Xiong Architect, Huawei Title: Modern Operating Systems Challenges and openEuler Solutions	[Video]
UTC-5 (New York), 10:05-10:30, November 11th, 2022 UTC (London), 15:05-15:30 UTC+8 (Beijing), 23:05-23:30	Invited Talk Prof. Fuxin Zhang Institute of Computing Technology, Chinese Academy of Sciences Title: Open Source Ecosystem building experiences of LoongArch ISA	[Video]
UTC-5 (New York), 10:30-10:55, November 11th, 2022 UTC (London), 15:30-15:55 UTC+8 (Beijing), 23:30-23:55	Invited Talk Dr. Dejun Jiang Institute of Computing Technology, Chinese Academy of Sciences systems Title: OpenFlash：A Hardware-Software Co-designed Open-Source SSD Controller Platform	[Video]
UTC-5 (New York), 10:55-11:20, November 11th, 2022 UTC (London), 15:55-16:20 UTC+8 (Beijing), 23:55-24:20	Invited Talk Prof. Jonathan Balkind UCSB Title: BYOC: A "Bring Your Own Core" Framework for Heterogeneous-ISA Research	[Video]