GPU Resource Management On JDOS 梁永清 liangyongqing1@jd.com 提供的服务 1. 用于实验的 GPU 容器 2.基于 Kubeflow 的机器学习训练服务 3.模型管理和模型 Serving 服务 Experiment Training Serving 均基于容器，不对业务方直接提供 GPU 物理机 GPU 实验 JDOS 常规的容器服务

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Helm Chart Support • Helm Chart repository • Same mechanism and user experiences with image management Multi Deployments • Docker Compose • BOSH/Pivotal Tile • Helm Chart Label • Label in project Vulnerability Scanning Job Service Admin Service Harbor components 3rd party components SQL Database Key/Value Storage Persistence components Local or Remote Storage (block, file, object) Users features harbor should provide? Q2: How does the Harbor architecture evolve? Q3: How to converge management of image and chart? Q4: Is it reasonable to involve day0 operation in Harbor? Website ： https://github

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• How did we implement them in MSVC? • Part V: Time Zones • Overview of [time.zone] • IANA database challenges • Part VI: Conclusion7 Part I: Development Process8 Development Process • Implemented Time Zones ([time.zone]) • chrono now includes an interface for accessing the IANA time zone database. • This functionality requires several new types to be added to the library: • tzdb • tzdb_list 2:00 3:00 UTC America/ New York43 tzdb • This is a type that stores data from the time zone database. • Specifically, it contains data members: • string version; • vector

 Time Zones39 Time Zones  Time zone database:  = list of time zones, including things like daylight saving time descriptions  Access time zone database std::chrono::get_tzdb()  List all available available time zones: const auto& database { get_tzdb() }; for (const auto& timezone : database.zones) { cout << timezone.name() << endl; }40 Time Zones  Get a specific time zone: auto* brussels

in Software Engineering Mike Ballou“There is no single development, in either technology or management technique, which by itself promises even one order-of- magnitude improvement within a decade abstract away its complexity often abstract away its essence • Not only technical problems but management problems as well comes from the complexity • It creates the tremendous learning and understanding I can help them I need…” • to Containerize the software, but to run that I need… • a Container Management Platform, but to network it I need… • a Service Mesh, but to secure it I need… • an automated Certificate

is the Next Stage ★ Blockchain ★ Decentralized Ledger Storage: MPT (Merkle Patricia Tree) ★ K-V database ★ Smart Contract ★ Serverless The Weapons Web3 Utilizes For mainstream tech stack, e. g. Ethereum on DATA and the OPENNESS of the data Core Difference Between ODA and Web3 DApp ➔If I opened my database to others, how would I get profits from my efforts, how should I run my business? ➔How to attract

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boundary.Memory model https://gchandbook.org/ Garbage collection is really “automatic memory management”. - Reference counted - C++ – std::shared_ptr - Python - Objective-C (manual or automatic - COM – AddRef()/Release() - Non-Reference counted - .NET - JVM - JavaScript Manual memory management is rarely advocated for anymore.Memory model – Manual Memory is allocated and deallocated directly