- User can choose a different static policy option `SpreadPhysicalCPUsPreferredOption` to spread cpus across physical cpus for some specific applications ([#123733](https://github.com/kubernetes/kubernetes/pull/123733), [@Jeffwan](https://github.com/Jeffwan)) [SIG Node]

        }
    }

    /**
     * Calibrates the CPU load.
     *
     * @return true if the CPU load is within the acceptable range, false otherwise.
     */
    public boolean calibrateCpuLoad() {
        return calibrateCpuLoad(0L);
    }

    /**
     * Calibrates the CPU load with a timeout.
     *
     * @param timeoutInMillis The timeout in milliseconds.

 * java.util.LinkedHashSet}. Generally speaking, this class reduces object allocation and memory
 * consumption at the price of moderately increased constant factors of CPU. Only use this class
 * when there is a specific reason to prioritize memory over CPU.
 *
 * @author Louis Wasserman
 */
@GwtIncompatible // not worth using in GWT for now
final class CompactLinkedHashSet<E extends @Nullable Object> extends CompactHashSet<E> {

                    return "3";
                case "crawler.hotthread.timeout":
                    return "30s";
                case "crawler.hotthread.type":
                    return "cpu";

                default:
                    throw new ConfigPropertyNotFoundException(propertyKey);
                }
            }

            @Override

        blocker = (Blocker) state;
      }
      spinCount++;
      if (spinCount > MAX_BUSY_WAIT_SPINS) {
        /*
         * If we have spun a lot, just park ourselves. This will save CPU while we wait for a slow
         * interrupting thread. In theory, interruptTask() should be very fast, but due to
         * InterruptibleChannel and JavaLangAccess.blockedOn(Thread, Interruptible), it isn't

- Added a kubelet metrics to report informations about the cpu pools managed by cpumanager when the static policy is in use. ([#127506](https://github.com/kubernetes/kubernetes/pull/127506), [@ffromani](https://github.com/ffromani)) [SIG Node and Testing]

 * Generally speaking, this class reduces object allocation and memory consumption at the price of
 * moderately increased constant factors of CPU. Only use this class when there is a specific reason
 * to prioritize memory over CPU.
 *
 * @author Louis Wasserman
 * @author Jon Noack
 */
@GwtIncompatible // not worth using in GWT for now

- Added a new option `strict-cpu-reservation` for CPU Manager static policy. When this option is enabled, CPU cores in `reservedSystemCPUs` will be strictly used for system daemons and interrupt processing no longer available for any workload. ([#130290](https://github.com/kubernetes/kubernetes/pull/130290), [@psasnal...

  //   have observed 12 micros on 64-bit linux systems to wake up a parked thread). So if the
  //   timeout is small we shouldn't park(). This needs to be traded off with the cpu overhead of
  //   spinning, so we use SPIN_THRESHOLD_NANOS which is what AbstractQueuedSynchronizer uses for
  //   similar purposes.
  // * We want to behave reasonably for timeouts of 0

  //   have observed 12 micros on 64-bit linux systems to wake up a parked thread). So if the
  //   timeout is small we shouldn't park(). This needs to be traded off with the cpu overhead of
  //   spinning, so we use SPIN_THRESHOLD_NANOS which is what AbstractQueuedSynchronizer uses for
  //   similar purposes.
  // * We want to behave reasonably for timeouts of 0