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

Gopher  China  2015  Resource  Scheduling  &  Container  Technology  for  Financial  Service  动态资源管理和容器技术  在金融行业的架构探索和明天  余军  Gopher  China  2015  Gopher  China  2015  China  2015  求解之路的探索  n 他们是否解决了我们的问题?  n No   ① Mesos  采用了DRF(Dominant  Resource  Fairness)  调度机制。 YARN自带FIFO、Capacity  Scheduler和Fair  Scheduler(借鉴了 Mesos的DRF)。  ② Mes oop中Capacity  Scheduler的调度机制，将所有资源分成若干个queue，每个 queue分配一定量的资源，每个user有一定的资源使用上限。  ③ Mesos采用了Resource  Offer机制，这种调度机制面临着资源碎 片问题，即：每个节点上的资源不可能全部被分配完，剩下的一 点可能不足以让任何任务运行，这样，便产生了类似于操作系统 中的内存碎片问题。 

that take a user-suppiled lambda to generate the data needed to render our desired compile-time resource! These are e�ectively templated functions, but we will use the cleaner auto parameter syntax for

Request a new project new-app Create a new application ... $ oc create --help Create a resource by filename or stdin JSON and YAML formats are accepted. Usage: oc create -f FILENAME [flags] Pod VERSION: v1 DESCRIPTION: Pod is a collection of containers that can run on a host. This resource is created by clients and scheduled onto hosts. FIELDS: apiVersion APIVersion running nginx' # Update pod 'foo' only if the resource is unchanged from version 1 oc annotate pods foo description='my frontend running nginx' --resource-version=1 # Update pod 'foo' by removing an

以结束当前会话。 使用oc logout命令。 输 输出示例 出示例 这将从服务器中删除已保存的身份验证令牌，并将其从配置文件中删除。 $ oc create --help Create a resource by filename or stdin JSON and YAML formats are accepted. Usage: oc create -f FILENAME [flags] Pod VERSION: v1 DESCRIPTION: Pod is a collection of containers that can run on a host. This resource is created by clients and scheduled onto hosts. FIELDS: apiVersion APIVersion running nginx' # Update pod 'foo' only if the resource is unchanged from version 1 oc annotate pods foo description='my frontend running nginx' --resource-version=1 # Update pod 'foo' by removing an

Zstandard Compression Algorithm 271 Relaxed Rules for Specifying Table Distribution Columns 271 Resource Groups Features 271 PL/pgSQL Procedural Language Enhancements 272 Replicated Table Data 272 VMware the Distributed Virtual Switch Settings 351 Creating the Distributed Port Groups 352 Configuring the Distributed Port Groups 352 VMware Greenplum 6 Documentation VMware by Broadcom 17 Principles of Mount Options 493 Disk I/O Settings 493 Synchronizing System Clocks 493 Configuring and Using Resource Groups 494 Enabling iptables (Optional) 494 How to Enable iptables 494 Example iptables Rules 495

Zstandard Compression Algorithm 257 Relaxed Rules for Specifying Table Distribution Columns 257 Resource Groups Features 258 PL/pgSQL Procedural Language Enhancements 258 Replicated Table Data 258 Concurrency the Distributed Virtual Switch Settings 334 Creating the Distributed Port Groups 335 Configuring the Distributed Port Groups 336 Principles of VMware vSphere Distributed Switch to Uplink Assignment 336 Management 516 Security Best Practices 516 System User (gpadmin) 517 Superusers 517 Login Users 517 Groups 517 Object Privileges 518 Operating System Users and File System 518 Managing Data 522 Defining

Specifying Table Distribution Columns 218 VMware Greenplum v6.19 Documentation VMware, Inc. 8 Resource Groups Features 219 PL/pgSQL Procedural Language Enhancements 219 Replicated Table Data 220 Concurrency Column Oriented Storage 324 Compression 325 Distributions 325 Resource Queue Memory Management 325 Partitioning 327 Indexes 327 Resource Queues 327 Monitoring and Maintenance 328 ANALYZE 328 Vacuum Settings 334 Number of Segments per Host 334 Resource Queue Segment Memory Configuration 334 Resource Queue Statement Memory Configuration 335 Resource Queue Spill File Configuration 336 Schema Design

Zstandard Compression Algorithm 210 Relaxed Rules for Specifying Table Distribution Columns 210 Resource Groups Features 211 PL/pgSQL Procedural Language Enhancements 211 Replicated Table Data 212 Concurrency Column Oriented Storage 315 Compression 316 Distributions 316 Resource Queue Memory Management 316 Partitioning 318 Indexes 318 Resource Queues 318 Monitoring and Maintenance 319 ANALYZE 319 Vacuum Settings 325 Number of Segments per Host 325 Resource Queue Segment Memory Configuration 325 Resource Queue Statement Memory Configuration 326 Resource Queue Spill File Configuration 327 Schema Design

Zstandard Compression Algorithm 238 Relaxed Rules for Specifying Table Distribution Columns 239 Resource Groups Features 239 PL/pgSQL Procedural Language Enhancements 239 Replicated Table Data 240 Concurrency the Distributed Virtual Switch Settings 315 Creating the Distributed Port Groups 316 Configuring the Distributed Port Groups 317 Principles of VMware vSphere Distributed Switch to Uplink Assignment 317 Management 540 Security Best Practices 540 System User (gpadmin) 541 Superusers 541 Login Users 541 Groups 541 Object Privileges 542 Operating System Users and File System 542 Managing Data 546 Defining