that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel optimizations...

Follow these steps to run the Spark Pi example:

- Login as user **‘spark’**.
- When the job runs, the library can now use **MinIO** during intermediate processing.
- Navigate to a node with the Spark client and access the spark2-client directory:

```
cd /usr/hdp/current/spark2-client
su spark
```

		if err != nil {
			continue
		}
		err = loadMRF(rc, m.opCh)
		if err != nil {
			continue
		}
		// finally delete the file after processing mrf entries
		localDrive.Delete(GlobalContext, minioMetaBucket, pathJoin(healMRFDir, "list.bin"), DeleteOptions{})
		break
	}

	return
}

var healSleeper = newDynamicSleeper(5, time.Second, false)

  PrimitiveSink putUnencodedChars(CharSequence charSequence);

  /**
   * Puts a string into this sink using the given charset.
   *
   * <p><b>Warning:</b> This method, which reencodes the input before processing it, is useful only
   * for cross-language compatibility. For other use cases, prefer {@link #putUnencodedChars}, which
   * is faster, produces the same output across Java releases, and processes every {@code char} in

      this.safeMaxChar = (char) min(safeMax, Character.MIN_HIGH_SURROGATE - 1);
    }
  }

  /*
   * This is overridden to improve performance. Rough benchmarking shows that this almost doubles
   * the speed when processing strings that do not require any escaping.
   */
  @Override
  public final String escape(String s) {
    checkNotNull(s); // GWT specific check (do not optimize)
    for (int i = 0; i < s.length(); i++) {

		},
	}
	return eventData, nil
}

var statusTextToCode = map[string]int{
	"Continue":                        http.StatusContinue,
	"Switching Protocols":             http.StatusSwitchingProtocols,
	"Processing":                      http.StatusProcessing,
	"Early Hints":                     http.StatusEarlyHints,
	"OK":                              http.StatusOK,
	"Created":                         http.StatusCreated,

   * or all lines have been read and returning the result produced by the processor. Does not close
   * {@code readable}. Note that this method may not fully consume the contents of {@code readable}
   * if the processor stops processing early.
   *
   * @throws IOException if an I/O error occurs
   * @since 14.0
   */
  @CanIgnoreReturnValue // some processors won't return a useful result
  @ParametricNullness

type EndpointFilter struct {
	Address string
	Port    uint32
	Cluster string
	Status  string
}

// ConfigWriter is a writer for processing responses from the Envoy Admin config_dump endpoint
type ConfigWriter struct {
	Stdout   io.Writer
	clusters *clusters.Wrapper
}

// EndpointCluster is used to store the endpoint and cluster

        builder.endObject();
    }

    @Override
    protected Query doToQuery(final QueryShardContext context) throws IOException {
        throw new UnsupportedOperationException("Query processing is not supported.");
    }

    @Override
    protected boolean doEquals(final StoredLtrQueryBuilder other) {

---

Common examples of CPU bound operations are things that require complex math processing.

For example:

* **Audio** or **image processing**.