UsefulLinks
Computer Science
Containerization and Orchestration
GPU Scheduling and Resource Management in Containerized Environments
1. Foundational Concepts
2. GPU Hardware Integration
3. Core Mechanisms for GPU Management in Kubernetes
4. GPU Allocation and Sharing Strategies
5. Advanced GPU Scheduling
6. Monitoring and Observability
7. Ecosystem and Tooling
8. Security and Compliance
9. Performance Optimization
10. Challenges and Future Directions
5.
Advanced GPU Scheduling
5.1.
Kubernetes Scheduler Limitations
5.1.1.
Default Scheduler Constraints
5.1.1.1.
Topology Unawareness
5.1.1.2.
Single-Pod Scheduling
5.1.1.3.
Limited Resource Types
5.1.2.
GPU-Specific Challenges
5.1.2.1.
Interconnect Topology
5.1.2.2.
Memory Locality
5.1.2.3.
Batch Job Requirements
5.2.
Topology-Aware Scheduling
5.2.1.
GPU Interconnect Technologies
5.2.1.1.
NVLink Architecture
5.2.1.2.
PCIe Topology
5.2.1.3.
InfiniBand Integration
5.2.1.4.
Network Fabric Considerations
5.2.2.
NUMA Awareness
5.2.2.1.
CPU-GPU Affinity
5.2.2.2.
Memory Locality
5.2.2.3.
Performance Optimization
5.2.3.
Topology Discovery
5.2.3.1.
Hardware Topology Detection
5.2.3.2.
Node Labeling Strategies
5.2.3.3.
Scheduler Integration
5.2.4.
Placement Algorithms
5.2.4.1.
Locality-Aware Placement
5.2.4.2.
Bandwidth Optimization
5.2.4.3.
Latency Minimization
5.3.
Gang Scheduling
5.3.1.
Distributed Training Requirements
5.3.1.1.
All-or-Nothing Allocation
5.3.1.2.
Synchronous Execution
5.3.1.3.
Deadlock Prevention
5.3.2.
Gang Scheduling Algorithms
5.3.2.1.
Coscheduling Strategies
5.3.2.2.
Resource Reservation
5.3.2.3.
Backfilling Techniques
5.3.3.
Implementation Approaches
5.3.3.1.
Volcano Scheduler
5.3.3.2.
Yunikorn Scheduler
5.3.3.3.
Custom Scheduler Extensions
5.4.
Multi-Tenant Scheduling
5.4.1.
Fair-Share Scheduling
5.4.1.1.
Weighted Fair Queuing
5.4.1.2.
Proportional Share
5.4.1.3.
Deficit Round Robin
5.4.2.
Priority-Based Scheduling
5.4.2.1.
Priority Classes
5.4.2.2.
Preemption Policies
5.4.2.3.
Priority Inheritance
5.4.3.
Quota Management
5.4.3.1.
Resource Quotas
5.4.3.2.
Namespace Isolation
5.4.3.3.
User-Based Quotas
5.5.
Batch and HPC Scheduling
5.5.1.
Job Queue Management
5.5.1.1.
Priority Queues
5.5.1.2.
FIFO Scheduling
5.5.1.3.
Shortest Job First
5.5.2.
Resource Packing
5.5.2.1.
Bin Packing Algorithms
5.5.2.2.
Fragmentation Reduction
5.5.2.3.
Utilization Optimization
5.5.3.
Backfill Scheduling
5.5.3.1.
Conservative Backfill
5.5.3.2.
Aggressive Backfill
5.5.3.3.
EASY Backfill
Previous
4. GPU Allocation and Sharing Strategies
Go to top
Next
6. Monitoring and Observability