The Sched app allows you to build your schedule but is not a substitute for your event registration. You must be registered for KubeCon + CloudNativeCon + Open Source Summit + AI_Dev China 2024 to participate in the sessions. If you have not registered but would like to join us, please go to the event registration page to purchase a registration.
Please note: This schedule is automatically displayed in Hong Kong Standard Time (UTC +8). To see the schedule in your preferred timezone, please select from the drop-down menu to the right, above "Filter by Date." The schedule is subject to change and session seating is available on a first-come, first-served basis.
亲临现场
2024年8月21-23日
了解更多并注册参加
Sched应用程序允许您创建自己的日程安排,但不能替代您的活动注册。您必须注册参加KubeCon + CloudNativeCon + Open Source Summit + AI_Dev China 2024,才能参加会议。如果您尚未注册但希望加入我们,请访问活动注册页面购买注册。
With the surge of application computing demand, the industry began to run AI applications on diverse acceleration hardwares (GPU, FPGA, NPU...) to gain more processing capability. One key problem to use diverse accelerators is tool chain & vendor lock-in in application Dev-to-Run processes. Cross-system (multi-arch chips + multi-vendor tool chain) application development and migration is hard to achieve. In this presentation China Mobile will introduce the practices to solve above challenges allowing AI applications smoothly migrate among different accelerators. It includes a unified abstraction for diverse accelerators, a middle-compiler using existing compilers (CUDA, ROCm, oneAPI...) to achieve cross-architecture compile in the same execution, and a runtime supporting dynamic and replaceable link. We want to enable applications migrate freely between diverse accelerators without changing development habits, and show the architecture design, open source plans and a demo.
Yanun Chen is the open source expert and CNCF delegate in China Mobile. She joined actively in many open source projects and now she is the TSC member of LF Edge Akraino.