Konrad Kowalski (rootsher)Principal Platform & Reliability Architect100001111010110000011001101100000000101100001100

Parallelism

posts (3)

  1. CPU in Kubernetes from the kernel up9/12

    NUMA, SMT and cache: when hardware topology starts to matter

    Two workloads can get the same CPU time and do different amounts of work. This is where the CPU abstraction ends and the physics of the machine begins.

  2. CPU in Kubernetes from the kernel up8/12

    Why 1 CPU does not mean one core

    CPU time and CPU placement are two different mechanisms. A limit says how much you may consume; affinity and cpuset say where a task may execute.

  3. CPU in Kubernetes from the kernel up1/12

    How Linux really gives a process CPU

    A process does not "have CPU". It is ready to run, and the scheduler decides when it actually gets processor time.