GPU Resource Management On JDOS## GPU Resource Management On JDOS 梁永清 liangyongqing1@jd.com ## 提供的服务 ## Experiment ## Training 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 ## Serving 均基于容器,不对业务方直接提供 GPU 物理机0 码力 | 11 页 | 13.40 MB | 2 年前3
Back To Basics Lifetime Management## +24 ## Back To Basics Lifetime Management ## PHIL NASH ## 20 24 September 15 - 20 ## C++ is complex  mostly for historical sonarsource.com/blog/beyond-the-rules-of-three-five-and-zero/ ## +24 ## Back To Basics Lifetime Management ## PHIL NASH ## 20 24 September 15 - 200 码力 | 66 页 | 8.43 MB | 1 年前3
Secrets Management at
Scale with Vault & Rancher24. June # Secrets Management at Scale with Vault & Rancher  Bastian Hofman Senior Field Engineer SUSE bastian.hofmann@suse Operations & Infrastructure Management (Run & Manage) K8s Version Management GitOps Continuous Delivery Cluster Templates & Config Enforcement Node Pool Management RBAC, OPA, Pod & Network Network Policies Cluster Provisioning & Lifecycle Management  kubernetes  ## Robot Behaviors This Coordinator or Task Planner is also the highest level of abstraction of our system, where we focus on WHAT the robot does0 码力 | 59 页 | 7.97 MB | 1 年前3
Node Operator: Kubernetes Node Management Made Simple## Node Operator: Kubernetes Node Management Made Simple 陈俊(Joe),Ant Financial ## Agenda • Background and Motivation • Introduction of Operators • Node-Operator • Advanced Topic: Kube-on-Kube-Operator Master & Node Components reliably • Canary Rollout • Master & Node Component Versions Management  Worker Order Complicated architecture Work order deployment system can not meet the requirements of resource management. ## Operator 0 码力 | 18 页 | 11.70 MB | 2 年前3
Rethinking Task Based Concurrency and Parallelism for Low Latency C++## +24 ## Work Contracts Rethinking Task Based Concurrency and Parallelism for Low Latency C++ MICHAEL A MANISCALCO ### “We cannot solve our problems with the same thinking we used when we created them So what is there to Rethink? ## Rethinking: Task Queues  ## Problem #1 - Task Queues Do Not Scale Well: • Contention: ☐ problems: ☐ Task starvation ☐ Load balancing ☐ Forfeits strict FIFO behaviour ○ Increases memory footprint (or requires allocations) ☐ Terrible task selection "fairness" ## Rethinking: Task Queues0 码力 | 142 页 | 2.80 MB | 1 年前3
Taro: Task graph-based Asynchronous Programming Using C++ Coroutine## +23 ## Taro: Task graph-based Asynchronous Programming Using C++ Coroutine DIAN-LUN LIN 20 23 October 01 - 06 ## Agenda • Understand the motivation behind Taro • Learn to use the Taro C++ programming application • Conclusion ## What is Task Graph-based Programming System (TGPS) • TGPS encapsulates function calls and their dependencies in a top-down task graph ## What is Task Graph-based Programming System function calls and their dependencies in a top-down task graph  ## What is Task Graph-based Programming System (TGPS) • TGPS encapsulates0 码力 | 84 页 | 8.82 MB | 1 年前3
Libraries: A First Step Toward Standard C++ Dependency ManagementToward Standard C++ Dependency Management ## BILL HOFFMAN & BRET BROWN ## 20 23 October 01 - 06 ## Libraries: A First Step Toward Standard C++ Dependency Management October 3, 2023 Bloomberg Engineering portable as the code they contain! ✓ Projects should be “cattle,” not “pets”! ## Why dependency management? Consensus: Managing dependencies == way too hard Q: Which of these do you find frustrating about following names: jsonlogConfig.cmake Jsonlog-config.cmake # ... CMake gives you some dependency management tips here ... Aside: Coloring and bolding added for emphasis ## Motivation: What would we design0 码力 | 82 页 | 4.21 MB | 1 年前3
Pomodoro Techniqueor DND  • No non-task related browsing ☐ No bathroom breaks $ ^{*} $ • No conversations  Kalavri vkalavri@bu.edu ## State in dataflow computations Any non-trivial streaming computation sum, list, map, ... ## State management in Apache Flink All data maintained by a task and used to compute results: a local or instance variable that is accessed by a task’s business logic Operator state state is scoped to an operator task, i.e. records processed by the same parallel task have access to the same state - It cannot be accessed by other parallel tasks of the same or different operators Keyed0 码力 | 24 页 | 914.13 KB | 2 年前3
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