Core Insights - The CoDesign 2025 International Symposium held in Osaka, Japan, focused on the integration of high-performance computing (HPC) and artificial intelligence (AI) [1][2] - The symposium addressed four core areas: algorithms, application systems, system software and middleware, and hardware-software co-design [1] - Key discussions included the future of exascale computing and the role of HPC and AI in advancing scientific research [1] Group 1: Key Presentations and Discussions - Professor Lu Yutong highlighted the challenges of system fragmentation affecting computational efficiency and emphasized the importance of co-design in hardware and software [1] - Shuaiwen Leon Song introduced the Together AI's "AI Accelerated Cloud" platform, showcasing its self-developed inference engine and optimization strategies [1] - Professor Thomas C. Schulthess presented the cloud-native supercomputing platform ALPS developed by CSCS, which supports elastic resource scheduling and the "science as a service" concept [2] Group 2: Research Focus Areas - Professor Xian-He Sun addressed the "memory wall" issue, proposing theories and models to optimize data flow and enhance performance [2] - Experts shared advancements in large model training optimization, supercomputer architecture, scheduling algorithms, memory problem solutions, and data compression tools [2]

Group 1 - The CoDesign 2025 International Symposium was successfully held in Osaka, Japan, focusing on the challenges of large-scale computing and big data, emphasizing the importance of hardware-software co-design for the development of high-performance computing (HPC) [1] - The conference highlighted four core areas: algorithms, application systems, system software and middleware, and hardware-software co-design architecture, covering key fields of high-performance and scalable computing [2] - Keynote speeches and technical presentations showcased cutting-edge research and developments, including the challenges of system fragmentation and the need for collaborative design between hardware and software [3] Group 2 - Roundtable discussions addressed the integration of HPC and AI, with experts sharing differing views on the future direction of computing architectures and the role of AI in scientific programming [4] - The pursuit of Zeta Scale computing was discussed, with experts identifying system reliability and power consumption as core obstacles to scaling [4] - The symposium provided a platform for global experts to share insights and reach consensus, which will significantly advance the integration of HPC and AI, addressing future challenges and opportunities in the computing field [4]