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Get More Computing Power by Helping the OS Scheduler

speakerdeck:askervin
slides:none on file

Adds CRI Resource Manager (CRI‑RM) to nodes to take over CPU and memory pinning via the CRI host manager, replacing direct kubelet→container runtime calls and raising sustained core turbo by packing threads into fewer cores and aligning pods on the same NUMA/L3 domains. Provides zero-configuration CPU and memory pinning and extensible policies (examples: port boost and balloon pools), implements cache, memory-bandwidth and block‑IO controls, and ships patches into CRI/containerd. Case studies report major improvements in database and AI training workloads without modifying Kubernetes or apps.

AI-written summary · about

  1. 0:00Introduction
  2. 0:43The Problem
  3. 7:22Features
  4. 10:16How it works
  5. 11:56Whats next
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