GPU Scheduling and Resource Management in Containerized Environments

1. Core Mechanisms for GPU Management in Kubernetes
   1. Kubernetes Device Plugin Framework
      1. Device Plugin Architecture
         1. Plugin Interface Definition
         2. gRPC Communication
         3. Unix Socket Communication
      2. Device Manager Component
         1. Kubelet Integration
         2. Device Discovery Process
         3. Resource Tracking
         4. Health Monitoring
      3. Plugin Registration Process
         1. Registration Protocol
         2. Heartbeat Mechanism
         3. Plugin Lifecycle Management
      4. Resource Allocation Workflow
         1. Device Enumeration
         2. Resource Advertisement
         3. Allocation Requests
         4. Device Assignment
         5. Cleanup Procedures
   2. GPU Device Plugin Implementations
      1. NVIDIA Device Plugin
         1. Installation Methods
         2. Configuration Options
         3. Supported GPU Models
         4. Feature Support
         5. Troubleshooting
      2. AMD Device Plugin
         1. Installation Methods
         2. Configuration Options
         3. Supported GPU Models
         4. ROCm Integration
      3. Intel Device Plugin
         1. Installation Methods
         2. Configuration Options
         3. Supported GPU Models
         4. oneAPI Integration
      4. Multi-Vendor Environments
         1. Plugin Coexistence
         2. Resource Naming Conflicts
         3. Scheduling Considerations
   3. GPU Resource Exposure
      1. Extended Resource Names
         1. Vendor-Specific Naming
         2. Custom Resource Definitions
         3. Resource Quantity Formats
      2. Node Resource Advertising
         1. Kubelet Resource Reporting
         2. API Server Updates
         3. Scheduler Integration
      3. Resource Capacity Management
         1. Available vs Allocatable Resources
         2. Resource Reservation
         3. Capacity Updates
   4. Pod GPU Resource Specification
      1. Resource Request Syntax
         1. Container Resource Requests
         2. Resource Limit Syntax
         3. YAML Specification Examples
      2. GPU Resource Semantics
         1. Integer-Only Allocation
         2. Whole GPU Assignment
         3. Resource Guarantee Model
      3. Validation and Admission Control
         1. Resource Validation Rules
         2. Admission Controllers
         3. Resource Quotas
   5. Node Feature Discovery
      1. GPU Hardware Detection
         1. PCI Device Enumeration
         2. GPU Model Identification
         3. Memory Size Detection
         4. Capability Detection
      2. Feature Label Generation
         1. Automatic Labeling
         2. Custom Label Rules
         3. Label Naming Conventions
      3. Node Selector Integration
         1. Label-Based Scheduling
         2. Node Affinity Rules
         3. GPU Type Targeting