Программа курса
- 1.Insight into computing industry ecosystem
- 1.1 Insight into Computing Industry Ecosystem
- Describe the status quo of the traditional computing industry and its room for improvement;
- Understand the computing requirements of emerging technologies;
- Know how the industry addresses challenges.
- 2.Key technologies and applications
- 2.1 General-Purpose and Heterogeneous Computing Technologies
- Chips used in general-purpose and heterogeneous computing;
- Technologies differences between general-purpose and heterogeneous computing;
- Huawei Kunpeng processors and TaiShan servers.
- 2.2 Accelerator Components and Computing Platforms
- Working principle of the acceleration component;
- Differences between common computing platforms.
- 3.Intelligent computing solution design and practice
- 3.1 Solution Cases in Diversified Scenarios-Web
- Concepts, application scenarios, and architecture of the web system;
- Huawei Kunpeng accelerator engine;
- Web delivery solution of Huawei Kunpeng platform.
- 3.2 Solution Cases in Diversified Scenarios-SDS
- Differences between SDS and traditional storage;
- Architecture, key concepts, and data stored procedures of the distributed storage Ceph;
- Main process, key steps, and configuration selection of the SDS-based delivery solution for Huawei Kunpeng platform.
- 3.3 Solution Cases in Diversified Scenarios-Big Data
- Kunpeng big data solution architecture;
- Typical delivery process of the Kunpeng-architecture big data solution.
- 3.4 Software Application Migration Solution Practice
- Execution process of interpreted and compiled application software;
- Compilation differences between X86 and Kunpeng computing platforms and solutions;
- Huawei Kunpeng community and migration tool;
- Migration methods of application software in different scenarios.
- 3.5 Deep Learning Application Solution Practice
- Main application scenarios of AI;
- Huawei Atlas solution;
- HUAWEI CLOUD deep learning development platform.
- 3.6 Hyper-Converged Application Solution-Private Cloud
- Concepts of virtualization, private cloud, and desktop cloud based on the hyper-converged architecture;
- Key technologies in the hyper-converged architecture;
- Delivery process of typical solutions.
- 3.7 Hyper-Converged Application Solution-Database
- Software and hardware architectures and physical networking in hyper-converged database scenarios;
- Delivery process of typical solutions.
- 4.Intelligent computing system optimization
- 4.1 Introduction to System Optimization Solutions
- Basic methods for optimizing application systems;
- System managing tools;
- Benchmark tool.
- 4.2 System Optimization Solution Practice
- Nginx optimization method
- Ceph optimization method
- MySQL optimization method
- Optimization methods for basic big data components HDFS, Yarn, and MapReduce.