- A new kubelet command line option, `--reserved-cpus`, is introduced to explicitly define the CPU list that will be reserved for system. For example, if `--reserved-cpus=0,1,2,3` is specified, then cpu 0,1,2,3 will be reserved for the system.  On a system with 24 CPUs, the user may specify `isolcpus=4-23` for the kernel option and use CPU 4-23 for the user containers. ([#83592](https://github.com/kubernetes/kubernetes/pull/83592), [@jianzzh...

of Go values and free that space manually all at once, safely. The purpose
of this functionality is to improve efficiency: manually freeing memory
before a garbage collection delays that cycle. Less frequent cycles means
the CPU cost of the garbage collector is incurred less frequently.

This functionality in this package is mostly captured in the Arena type.
Arenas allocate large chunks of memory for Go values, so they're likely to

     third_party/xla/third_party/tsl/tsl/platform/ctstring_internal.h \
     ${LIB_PKG}/include/tsl/platform
  cd ${LIB_PKG}
  libtensorflow_zip="libtensorflow${TARBALL_SUFFIX}.zip"
  zip libtensorflow-cpu-windows-$(uname -m).zip \
    lib/tensorflow.dll \
    lib/tensorflow.lib \
    include/tensorflow/c/eager/c_api.h \
    include/tensorflow/c/eager/c_api_experimental.h \
    include/tensorflow/c/eager/dlpack.h \

        this.delayMillisForWaitingNewUrl = delayMillisForWaitingNewUrl;
    }

    /**
     * Delays the crawler while waiting for new URLs to be available.
     * This method calibrates CPU load, checks crawler status, applies
     * interval control rules, and then calls the parent implementation.
     */
    @Override
    protected void delayForWaitingNewUrl() {

و چون بیشتر زمان اجرا صرف کار واقعی می‌شه (به جای انتظار)، و کار توی کامپیوتر با <abbr title="واحد پردازش مرکزی">CPU</abbr> انجام می‌شه، به این مشکلات می‌گن "CPU bound".

---

مثال‌های رایج عملیات CPU bound چیزایی هستن که نیاز به پردازش ریاضی پیچیده دارن.

مثلاً:

* پردازش **صدا** یا **تصویر**.

	return resp.ValueOrZero(), err
}

// GetCPUs - fetch CPU information for a remote node.
func (client *peerRESTClient) GetCPUs(ctx context.Context) (info madmin.CPUs, err error) {
	resp, err := getCPUsHandler.Call(ctx, client.gridConn(), grid.NewMSS())
	return resp.ValueOrZero(), err
}

Y como la mayor parte del tiempo de ejecución se dedica al trabajo real (en lugar de esperar), y el trabajo en una computadora lo realiza una <abbr title="Central Processing Unit">CPU</abbr>, llaman a estos problemas "CPU bound".

---

Ejemplos comunes de operaciones limitadas por la CPU son cosas que requieren procesamiento matemático complejo.

Por ejemplo:

* **Procesamiento de audio** o **imágenes**.

	systemDriveCollectorPath            collectorPath = "/system/drive"
	systemMemoryCollectorPath           collectorPath = "/system/memory"
	systemCPUCollectorPath              collectorPath = "/system/cpu"
	systemProcessCollectorPath          collectorPath = "/system/process"

	debugGoCollectorPath collectorPath = "/debug/go"

	clusterHealthCollectorPath       collectorPath = "/cluster/health"

 * 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 Dimitris Andreou
 * @author Jon Noack
 */
@GwtIncompatible // not worth using in GWT for now

  }

  auto* gpu_options = config.mutable_gpu_options();
  gpu_options->set_allow_growth(gpu_memory_allow_growth);

  (*config.mutable_device_count())["CPU"] = num_cpu_devices;

  // TODO(b/113217601): This is needed for EagerContext::runner_ to use a
  // threadpool, so that we avoid the possibility of running the runner_ in the