- 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]

        final long freeMemory = Runtime.getRuntime().freeMemory();
        final String msg = String.format(
                "%d words from %d %s: {\"time\":{\"parse\":%d,\"index\":%d},\"cpu\":%f,\"mem\":{\"heap\":\"%dmb\",\"used\":\"%dmb\"}}",
                items.length, size, type, parseTime, indexTime, cpuLoad, maxMemory / (1024 * 1024),
                (maxMemory - freeMemory) / (1024 * 1024));

- 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

        TF_NewOperation(host_graph_, func_name_, func_node_name_);
    for (auto input : inputs) {
      TF_AddInput(desc, input);
    }
    // Set device to CPU because some ops inside the function might not be
    // available on GPU.
    TF_SetDevice(desc, "/cpu:0");
    *op = TF_FinishOperation(desc, s_);
    ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
    ASSERT_NE(*op, nullptr);
  }

  FunctionDef fdef() {

  //   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

 * either of these extremes, {@code Striped} allows the user to trade between required concurrency
 * and memory footprint. For example, if a set of tasks are CPU-bound, one could easily create a
 * very compact {@code Striped<Lock>} of {@code availableProcessors() * 4} stripes, instead of
 * possibly thousands of locks which could be created in a {@code Map<K, Lock>} structure.
 *

  <mime-type type="application/vnd.ctct.ws+xml"/>
  <mime-type type="application/vnd.cups-pdf"/>
  <mime-type type="application/vnd.cups-postscript"/>
  <mime-type type="application/vnd.cups-ppd">
    <glob pattern="*.ppd"/>
  </mime-type>
  <mime-type type="application/vnd.cups-raster"/>
  <mime-type type="application/vnd.cups-raw"/>
  <mime-type type="application/vnd.curl.car">
    <glob pattern="*.car"/>

- Fixed relative CPU priority for pods where containers explicitly request zero cpu by giving the lowest priority instead of falling back to the cpu limit to avoid possible cpu starvation of other pods. ([#108832](https://github.com/kubernetes/kubernetes/pull/108832), [@waynepeking348](https://github.com/waynepeking348))

pkg debug/dwarf, method (*Data) AddTypes(string, []uint8) error
pkg debug/macho, const CpuArm = 12
pkg debug/macho, const CpuArm Cpu
pkg debug/macho, const CpuPpc = 18
pkg debug/macho, const CpuPpc Cpu
pkg debug/macho, const CpuPpc64 = 16777234
pkg debug/macho, const CpuPpc64 Cpu
pkg debug/macho, const MagicFat = 3405691582
pkg debug/macho, const MagicFat uint32
pkg debug/macho, const TypeBundle = 8