Completed
Test casel: restnet50+imagenet
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Classroom Contents
Deep Dive - CRI- RM Based CPU and NUMA Affinity to Achieve AI Task Acceleration
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- 1 Intro
- 2 Content
- 3 CRI-RM architecture
- 4 Noisy neighbors
- 5 Latency critical workloaus
- 6 CPU clock speed throtung
- 7 Available resource and control
- 8 Topology aware policy
- 9 Static-pools policy
- 10 CRI-RM node agent
- 11 CRI-RM webhook
- 12 Topology-aware resource alignment
- 13 Some problems In Al training cluster (Kubernetes* + Docker*)
- 14 Run Al training tasks on the CPU
- 15 CPU management in Kubernetes
- 16 Kubernetes* integrated CRI-RM
- 17 Test environment
- 18 Test casel: restnet50+imagenet
- 19 Test case2: CNN+minst
- 20 Conclusion
