Michael is the Chair of the C++ Embedded Development Committee SG14 and the Machine Learning Committee SG19, the Chair of the C++ Language Direction Evolution Committee, the Vice President of Research and Development at Codeplay, and the Head of the Canadian Delegation to the C++ Standards Board. Michael's extensive experience in the areas of C++ Parallel Computing, High Performance Computing, and Machine Learning has led the development of the C++ Heterogeneous Programming Language (SYCL) Standard for the Development of C ++ Applications on GPUs and GPUs. He led the development of the C++ Heterogeneous Programming Language (SYCL) standard for GPU application development. He has deep research and insights into the underlying performance optimization of Tensorflow. His specific work covers parallel programming, neural networks, computer vision, autonomous driving, etc. Michael was a senior technical expert at IBM, leading the development of IBM XL C++ compiler and XL C compiler.

David Sankel is a Principal Scientist at Adobe and an active member of the C++ Standardization Committee. His experience spans microservice architectures, CAD/CAM, computer graphics, visual programming languages, web applications, computer vision, and cryptography. He is a frequent speaker at C++ conferences and specializes in large-scale software engineering and advanced C++ topics. David’s interests include dependently typed languages, semantic domains, EDSLs, and functional programming. He is the project editor of the C++ Reflection TS, Executive Director of the Boost Foundation, and an author of several C++ proposals including pattern matching and language variants.

Paul E. McKenney has worked with real-time operating-system kernel synchronization mechanisms (e.g., realtime RCU in Linux), SMP/NUMA scalability and performance in Linux and UNIX operating-system kernels, performance analysis, routing and congestion control in networking, embedded realtime applications. He is the maintainer of RCU implementation and the rcutorture test module within the Linux kernel. Paul was previously an IBM Distinguished Engineer at the IBM Linux Technology Center. He has more than 200 publications and hold more than 100 patents. His specialties includes Performance programming for multi-threaded and multicore systems, NUMA architectures, Free/open-source software projects.

Bryce Adelstein Lelbach has spent over a decade developing programming languages and software libraries. He is a Principal Architect at NVIDIA, where he leads programming language standardization efforts and drives the technical roadmap for NVIDIA's HPC and Quantum compilers and libraries. Bryce is passionate about C++ and is one of the leaders of the C++ community. He is the chair of INCITS/PL22, the US standards committee for programming languages and the Standard C++ Library Evolution group. He also serves as editor for the INCITS Inclusive Terminology Guidelines. Bryce served as the program chair for the C++Now and CppCon conferences for many years. On the C++ Committee, he has personally worked on concurrency primitives, parallel algorithms, executors, and multidimensional arrays. He is one of the founding developers of the HPX parallel runtime system.

Maged M. Michael is an ACM Distinguished Scientist and an elected member of the Connecticut Academy of Science and Engineering. He is the inventor of hazard pointers, lock-free malloc and several algorithms for concurrent data structures. He received the 2014 ACM SIGPLAN Most Influential PLDI Paper Award for his paper on Scalable Lock-Free Dynamic Memory Allocation. As an internationally renowned computer scientist in the field of parallel computing, he works for Meta now. Before Facebook, he was a Research Staff Member at IBM. He received a Ph.D. in computer science from the University of Rochester.

John is a world authority on C++ large-scale componentized development methods and processes and currently heads Bloomberg LP's infrastructure development (BDE) division, which develops large-scale, reusable C++ suites.John is also responsible for training and mentoring all technical leaders in Bloomberg Group's software infrastructure team.He is also the founder of Bloomberg Group's BDE/BSL Open source Innovation Library.He is also a senior member of the C++ standards committee working group on the standard library.His representative work large-scale C++ software design is the authoritative work on large-scale software development.

Yongwei is a well-known C++ expert in China. He used to be a senior system architect of Intel Asia Pacific Research and Development Center. He has 30 years of experience in C/C++ system-level software development and architecture. He focuses on C/C++ languages (including C++98/C++11/14/17/20), software architecture, performance optimization, design patterns, and code reuse. He has served as a senior technical coach, involving C++, software architecture, security development, open source software and other aspects.

Focus on large-scale system software domain modeling design, refactoring, continuous delivery and service-oriented, intelligent architecture evolution and other fields, in the process of technical consultation and cooperation to help enterprises improve the skills and development efficiency of software personnel. He has been deeply involved in large-scale embedded software platform, wireless communication 4G, 5G core system, automatic driving, cloud storage, artificial intelligence dialogue platform and other technical consulting projects.

Francois Berjonneau has a degree in technical computer science from the National Conservatory of Arts and Crafts of Engineering and IT Integration: Information System and is a Senior Solution Engineer QA at the Qt Group. As part of the company’s Quality Assurance offering, he conducts workshops for existing and prospective customers interested in static code analysis. He has a longstanding track record as consultant in embedded software in different areas, and mainly in software development in safety context in the automotive domain.

Product leader of Tongyi Lingcode, and expert of BizDevOps, he has experienced consumer electronics, communication and Internet industries, and has been engaged in software R&D management, effectiveness improvement and product innovation for a long time, and is responsible for organisational effectiveness improvement implementation and transformation, and digital R&D management system construction. He is responsible for the implementation and transformation of organisational-level performance improvement and the construction of digital R&D management system. He has translated ‘Programmer Metrics’, ‘Software Exorcism’, etc., and lectured on ‘36 Measures of R&D Effectiveness’ and ‘Alibaba's Three Axes of R&D Effectiveness’, and has experience in speaking at industry-related technical conferences and Alibaba's meetings, and has a deep insight into digital development.

Baidu senior front-end engineer, internal lecturer, DevOps iCafe product leader, with more than 5 years of experience in software engineering efficiency, was responsible for the implementation of Baidu's internal DevOps project cloud native transformation, internal NPM mirror leader. 2023, participated in the development of Baidu's IDE plug-in for the intelligent development tool, Comate, and was responsible for the RAG retrieval-based dialogue enhancement of large models. Big Model Dialogue Enhancement, reducing code vector index building time consuming from minutes to seconds. He is good at performance optimisation of web applications and has rich experience in LLM application development.

Member of Tencentos Server OS team and OpenCloudOS OS open source community team, maintainer of key packages such as glibc in OpenCloudOS community, contributor to glibc upstream community. Participated in building OpenCloudOS from scratch. He has been deeply involved in the design and development of community self-maintenance infrastructure, and has opened up the whole process from upstream community package introduction and upgrading, community dynamics tracking and problem fixing, compatibility change identification and impact analysis to release, and based on the AI model, realising the automated and intelligent efficient maintenance of the release community.

Graduated from Beijing University of Posts and Telecommunications in 2001, majoring in management engineering, and now working in SUSE Labs storage group, he has been an active Linux kernel developer for a long time, and maintainer of bcache subsystem of main Linux kernel. 2010, as the first engineer, he joined and founded Taobao kernel group (predecessor of the current Alibaba kernel team), and left Alibaba to return to SUSE Labs to continue to work on first-line kernel development in 2015. In 2015, he left Alibaba and returned to SUSE Labs to continue to work on first-line kernel development. Before joining Alibaba to set up Taobao kernel team, he worked in Lenovo Research Institute server system research lab, SUSE China R&D Centre and SUSE Labs kernel team, and participated in Linux kernel open source projects such as openIPMI, Ext4, OCFS2, MD raid, bcache, etc. He has also worked with SUSE Labs kernel team and SUSE Labs kernel team in the past.

Clang Modules & Serialization Owner, LLVM Committer, C++ Standard Committee member, Development Engineer in Aliyun's Programming Languages and Compilers team, responsible for the maintenance and promotion of compilation toolchain as well as the implementation, maintenance, and application of new features in C++ (e.g., Concurrency and Modules).

Engaged in compiler/interpreter related R&D work for a long time, and has a certain understanding of LLVM, OpenJDK, Ark compiler and Android Runtime. Passionate about sharing and technical communication, he has participated in several open source community activities, and has shared more than 20 technical presentations in public. In addition, he is also committed to writing books, and has published technical books ‘The Beauty of Ark Compiler’ and ‘Android Runtime Source Code Analysis’.

Professional member of CCF Distributed Computing and Systems. More than 15 years of relevant experience in big data and hardware/software collaboration, with several authorised patents in the areas of storage, compute accelerators and performance evaluation. He has worked for Amazon, Huawei, Marvell, Freescale and other famous companies. As the company's heterogeneous hardware introduction related party, involved in internal and external NPU/DPU chip performance evaluation, business customisation requirements, scale-up landing and other work. Through the unified heterogeneous hardware access abstraction layer, the runtime interfaces, computing and storage resources of different NPU vendors are abstracted and unified into the SkyDome Big Data hardware base, making the hardware differences imperceptible to the upper-layer services/algorithms, shortening the on-line cycle of the heterogeneous hardware, and reducing the development difficulty.

Yinkui is the founder of Xedge.AI, and focused on AI Edge Computing. Senior software and hardware architect. Previously working at Intel for 13 years. He has 10 years of GPU depth optimization technology accumulation, specialised in machine learning, operating system kernel, driver program, software tuning.

Responsible for the development and maintenance of the financial accounting system infrastructure of eBay payment team, familiar with the Internet search advertisement recommendation backend, engaged in C++ backend development for a long time, and has rich development experience in high concurrency and high performance services. Completed the eBay self-developed strong consistent storage engine Goblin high-performance optimisation, availability optimisation, responsible for Goblin's Github open source and its maintenance.

Cloud Computing Software Architect at Intel Asia Pacific Research & Development Ltd, more than 20 years of infrastructure software development work, many years of network, storage and big data development work, many years of cloud computing infrastructure open source projects (OpenStack, OPNFV, Kubernetes, Istio/envoy) development work, currently focusing on enterprise AI open source project OPEA ( https://github.com/opea-project) development work. He currently serves as a technical committee member of China Cloud Infrastructure Developer Conference, a programme committee member of 2023 European Open Source Summit, and holds 5 US patents for infrastructure software.

Many years of experience in Linux OS development, performance tuning, was a net subsystem committer in Huawei kernel lab, responsible for kernel version maintenance and network feature development, contributed 50+ patches to Linux kernel community. Now he is a senior technical expert in Alibaba OS team, mainly responsible for the application of new network features and the exploration of eBPF tracing technology, mining the whole-link packet delay information from container application to kernel and driver, opening a world for solving the difficult network jitter problem. He has led the development of pingtrace, a packet loss delay visualization tool, netinfo, a monitoring system for jitter problems, and LCC, a compilation platform for BPF development. Translated with www.DeepL.com/Translator (free version)

NetEase CodeWave Intelligent Development Platform Architect with 10 years of software development experience. Responsible for the overall architecture design of the low-code visual programming language (NASL) and full-stack application framework, as well as the research and implementation of the integration of low-code programming and AI technology.

With 7 years of experience in compiler and performance optimisation, he is proficient in GCC and LLVM, and his research interests cover the areas of compiler optimisation for x86 and ARM architectures, software-hardware co-optimisation, heterogeneous high-performance computing, and AI compilers. He has led a number of performance optimisation projects, and helped Tencent Conference, TDSQL and other cloud products reach the top performance in the industry through advanced compilation techniques, achieving annual cost savings of hundreds of millions of dollars for the company. Currently, he is a compiler optimisation expert at Crypto, working on compiler optimisation, inference optimisation and other related work.

Responsible for C/C++ compilation toolchain at ByteDance, as well as static/dynamic code analysis tools, coverage and related ecological tools development and landing, LLVM committer.

He is a research and development engineer in the Systems Group at Microsoft Research Asia (Shanghai), obtained his master’s degree from New York University. He primarily focuses on the field of artificial intelligence systems, with current research directions including sparse computation and long-text reasoning for large language models. His work aims to optimize the training, pre-filling, and decoding processes of these models through joint design of systems and algorithms. He has been involved in the development of the Phi-3 series of models at Microsoft, and his recent projects include MInference, an accelerator for long-text reasoning; LongRoPE, an algorithm for extending context windows; ParrotServe, a distributed LLM service system; and PIT, a dynamic sparse operator compiler.

Bilibili Basic Engineering Department Kernel Team Developer, responsible for version maintenance of Bilibili's self-developed operating system kernel, convergence of system stability and performance issues, online requirement analysis, and feature design and implementation.

Tencent compiler senior engineer, participated in the GCC open source community compiler in the back-end implementation and performance optimisation, joined Tencent in 2022 to engage in compilation optimization, compilation acceleration and TencentOS system performance optimization and other work. In WeChat video number and Tencent advertising and other important business scenarios, he has completed the compilation optimisation solution and compilation acceleration, which has achieved more than 10% reduction in CPU load and time consumption and corresponding QPS improvement, and the scale of the landings has reached millions of cores; based on the compilation optimisation, he has improved the basic performance of the TencentOS system, and solved the performance problems of some important basic packages of TecentOS.

He joined Ant Group in 2018 and is now responsible for GraphUniverse architecture design and development, with rich experience in design, development, and performance optimisation of graph data management and analysis systems, distributed & standalone storage storage systems, caching systems, transactions, consistency protocols, and hardware and software collaboration.

Huiqiang Jiang, a Research and Development Engineer in the Systems Group at Microsoft Research Asia (Shanghai), graduated from Peking University. His research primarily focuses on efficient inference and training methods integrated with software systems, including dynamic sparse attention (MInference, RetrievalAttention), prompt compression (LLMLingua), KV cache compression, speculative decoding, model compression, sparse inference (PIT), neural architecture search, and efficient tuning, particularly for large language models. He has published dozens of papers at top conferences such as NeurIPS, ACL, EMNLP, and ICCV, and serves the community as a reviewer and Area Chair.

He is the head of server-side development for the Raccoon family. He has more than 10 years of experience in architecture and development related to massively concurrent and large-scale distributed systems. Liu Wenmin is responsible for the server-side architecture to support the landing and delivery of the entire Raccoon family of products in the public cloud, proprietary cloud, private cloud, and to meet customer requirements in terms of performance and reliability, laying the foundation for the subsequent rapid updating and delivery of the family of products of the Raccoon family, and was awarded the company's outstanding employee in 2023. Before joining Little Raccoon team, Liu Wenmin had been in charge of Shangtang Financial Cloud, 36Kr Media and Quanta's internal cloud service for a long time. He led the team formation, service-side architecture reconstruction, service upgrade, technology stack migration and other operations for many times, and also ensured that the service SLA reached 5 9s, and realised a number of technological innovations as well as R&D work efficiency enhancement, which provided a strong technological support for the overall business.

Chengdong Li. Founder of Mati Shi (Hangzhou) Technology Co., Ltd., and an Architect specializing in Software-Hardware Synergy Optimization. Former T11 Senior Engineer at Tencent with 12 years of R&D experience in large internet companies, including roles in Alibaba's Infrastructure and Fundamental Software, as well as Tencent's Quality Assurance teams. He has accumulated extensive practical experience in software-hardware synergy performance optimization and has led the development of multiple large-scale performance optimization tools/platforms used internally. He has helped businesses such as big data, databases, online meetings, cloud infrastructure, and cloud-native services achieve goals in performance improvement, stability enhancement, and cost savings. Recipient of Tencent's Technical Breakthrough Award and Business Breakthrough Award.

Senior Software Engineer at Zilliz, with many years of experience in vector search. His work has been published in top international conferences and journals such as VLDB and SIGMOD. He won the first place in NeurIPS'21 Billion Scale Vector Search Competition. Currently, she is responsible for vector database indexing, filtering, and end-to-end performance related research and development, focusing on reducing system latency and increasing throughput while ensuring stability and accuracy. Vicky Hui holds a Bachelor's and Master's degree in Computer Science from the University of Melbourne.

Wisdom Yuan Robotics platform software leader, former Tencent software engineer, has 8 years of C++ R&D experience, has led or participated in the design and development of several large-scale C++ software frameworks, and has deep experience in cloud services, game backend, robotics and other fields.

OPPO cloud database team leader, more than 10 years of software development, architecture design experience, in the database has a certain industry accumulation, with database platform and data business product development experience. Multiple successful experiences in landing products from 0 to 1. Has led the OPPO cloud database R & D effectiveness, off-site multi-live, data transfer and other products landing.

He is responsible for training framework and compilation computing in Shanghai Artificial Intelligence Laboratory. His main research areas are heterogeneous chip-based core framework, compilation technology, etc. He has participated in several deep learning projects as a core member, and is currently engaged in the research of basic framework and compilation computing direction in the laboratory.

Dr Ye Fan has been specialising in AI Infrastructure and is deeply involved in heterogeneous computing. After obtaining his PhD from the French Atomic Energy Agency, Dr Ye went to NVIDIA in Silicon Valley to be in charge of CUDA research and development, and was also one of the founders of TensorRT. Afterwards, he designed and developed PAI-Blade from scratch, and widely empowered many industries, spanning e-commerce, CV, NLP, ASR and other fields. Currently, Ye Fan leads the heterogeneous computing R&D team in Tencent Cloud to build TACO, the AI acceleration engine in Tencent Smart Computing, including TACO-Train, TACO-Infer, and TACO-LLM. Another masterpiece of the team, qGPU, has also helped many customers inside and outside the group to expand their GPU computing power and achieve extreme benefits with its industry-leading GPU virtualisation technology.

Senior technical expert in Aliyun's Database Product Division, has been engaged in R&D work in distributed caching, NoSQL database and distributed storage technologies for more than 10 years, with rich experience in performance architecture optimisation and productisation. Currently, he is mainly responsible for the development of Tair/MongoDB products, of which Tair is the core system that carries the key scenarios of Alibaba's e-commerce, including large-scale applications on Alibaba Cloud.

He is the technical lead of TiDB compute engine, a distributed database, with more than 10 years of C++ development experience, focusing on database kernel, parallel computing, GPU, etc. He is the Committer of Apache Arrow open source project, and used to be the GPU architecture leader of NVIDIA, and the team leader of SQL on Hadoop team of Starringring Technology.

He is an AI framework system engineer in Wisdom Source Research Institute, responsible for AI framework tool chain direction and big model business training and push support, core developer of FlagScale framework. He has participated in the research and development of Huawei MindSpore, Baidu PaddlePaddle, and Wisdom FlagScale framework, and supported Pangu big model, Wenshin Yiyin big model, Wisdom big model, and other big model business.