They tend to require more complex configurations, a message/job queue manager, like RabbitMQ or Redis, but they allow you to run background tasks in multiple processes, and especially, in multiple servers.

To see an example, check the [Project Generators](../project-generation.md){.internal-link target=_blank}, they all include Celery already configured.

   * Nearly all declarations in this class are package-private,
   * accessed directly by subclasses.
   *
   * Table entries are of class Cell; a variant of AtomicLong padded
   * to reduce cache contention on most processors. Padding is
   * overkill for most Atomics because they are usually irregularly
   * scattered in memory and thus don't interfere much with each
   * other. But Atomic objects residing in arrays will tend to be

 * being used.
 * </td></tr>
 * </table>
 *
 * <p>See <a href="../../../pipes.html">Using jCIFS to Connect to Win32
 * Named Pipes</a> for a detailed description of how to use jCIFS with
 * Win32 Named Pipe server processes.
 *
 */

public class SmbNamedPipe extends SmbFile {

    /**
     * The pipe should be opened read-only.
     */

    public static final int PIPE_TYPE_RDONLY = O_RDONLY;

    /**

This is the basic idea. But you will probably want to take care of some additional things, like:

* Security - HTTPS
* Running on startup
* Restarts
* Replication (the number of processes running)
* Memory
* Previous steps before starting

research](https://scholar.google.com/scholar?q=gpu+side+channel) shows that it
might be possible to use side channel attacks on the GPU to leak data from other
running models or processes in the same system. GPUs can also have
implementation bugs that might allow attackers to leave malicious code running
and leak or tamper with applications from other users. Please report

  [[ "$(uname)" == "Darwin" ]] && [[ "$HOME" == "$PWD" ]] && [[ "${#residual_args}" == "0" ]] && {
    echo "Detected MAC OSX launched script...."
    echo "Swapping to UI"
    addResidual "ui"
  }
}

# Processes incoming arguments and places them in appropriate global variables.  called by the run method.
process_args () {
  while [[ $# -gt 0 ]]; do
    case "$1" in
       -h|-help) usage; exit 1 ;;

    // always space for a single primitive
    this.buffer = ByteBuffer.allocate(bufferSize + 7).order(ByteOrder.LITTLE_ENDIAN);
    this.bufferSize = bufferSize;
    this.chunkSize = chunkSize;
  }

  /** Processes the available bytes of the buffer (at most {@code chunk} bytes). */
  protected abstract void process(ByteBuffer bb);

  /**
   * This is invoked for the last bytes of the input, which are not enough to fill a whole chunk.

the Go package big's integer type Int.

This is a syntactically valid Go program—it can be parsed with the Go
parser and processed by godoc—but it is not compiled directly by gc.
Instead, a separate tool, cgo, processes it to produce three output
files.  The first two, 6g.go and 6c.c, are a Go source file for 6g and
a C source file for 6c; both compile as part of the named package

      return true
    }

    var pos = pos + 4 // 'xn--'.size.

    // We'd prefer to operate directly on `result` but it doesn't offer insertCodePoint(), only
    // appendCodePoint(). The Punycode algorithm processes code points in increasing code-point
    // order, not in increasing index order.
    val codePoints = mutableListOf<Int>()

    // consume all code points before the last delimiter (if there is one)

	}

	if err = fw.Start(); err != nil {
		return fmt.Errorf("failure running port forward process: %v", err)
	}

	// Close the forwarder either when we exit or when an this processes is interrupted.
	defer fw.Close()
	dashboard.ClosePortForwarderOnInterrupt(fw)

	log.Debugf("port-forward to prometheus pod ready")

	promAPI, err := prometheusAPI(fmt.Sprintf("http://%s", fw.Address()))