final byte[] buf = buffer.array();
            int len;
            int amount = 0;
            while ((len = ChannelUtil.read(channel, buffer, amount)) != -1) {
                out.write(buf, 0, len);
                buffer.clear();
                amount += len;
            }
            out.flush();
            return amount;
        } catch (final IOException e) {
            throw new IORuntimeException(e);

	MOVWU	(R5)(R4.UXTW<<3), R10                            // ERROR "invalid index shift amount"
	MOVWU	(R5)(R4<<1), R10                                 // ERROR "invalid index shift amount"
	MOVB	(R5)(R4.SXTW<<5), R10                            // ERROR "invalid index shift amount"
	MOVH	R5, (R6)(R2<<3)                                  // ERROR "invalid index shift amount"

    }
    return tmp;
  }

  @Benchmark
  long parseUnsignedLong(int reps) {
    long tmp = 0;
    // Given that we make three calls per pass, we scale reps down in order
    // to do a comparable amount of work to other measurements.
    int scaledReps = reps / 3 + 1;
    for (int i = 0; i < scaledReps; i++) {
      int j = i & ARRAY_MASK;
      tmp += UnsignedLongs.parseUnsignedLong(decimalStrings[j]);

     *
     * @return the offset
     */
    public final int getOffset() {
        return this.offset;
    }

    /**
     * Adjusts the offset by the specified amount.
     *
     * @param n the amount to adjust the offset
     */
    public void adjustOffset(final int n) {
        this.offset += n;
    }

    /**
     * Gets the data length.
     *
     * @return the dataLength

    token: Bearer xxxxx # optional authentication token for the notification endpoint
  
  retry:
    attempts: 10 # number of retries for the job before giving up
    delay: 500ms # least amount of delay between each retry
`
	var job BatchJobRequest
	err := yaml.Unmarshal([]byte(expireYaml), &job)
	if err != nil {
		t.Fatal("Failed to parse batch-job-expire yaml", err)
	}

  }

  private fun updateMaxConcurrentStreams(
    connection: Http2Connection,
    amount: Int,
  ) {
    val settings = Settings()
    settings[Settings.MAX_CONCURRENT_STREAMS] = amount
    connection.readerRunnable.applyAndAckSettings(true, settings)
    assertThat(connection.peerSettings[Settings.MAX_CONCURRENT_STREAMS]).isEqualTo(amount)
    taskFaker.runTasks()
  }

    }
    return tmp;
  }

  @Benchmark
  long parseUnsignedLong(int reps) {
    long tmp = 0;
    // Given that we make three calls per pass, we scale reps down in order
    // to do a comparable amount of work to other measurements.
    int scaledReps = reps / 3 + 1;
    for (int i = 0; i < scaledReps; i++) {
      int j = i & ARRAY_MASK;
      tmp += UnsignedLongs.parseUnsignedLong(decimalStrings[j]);

        }

        try {
            // In real implementation, this would perform RDMA read into the buffer
            // For skeleton implementation, simulate reading the requested amount
            int bytesToRead = Math.min(length, buffer.remaining());

            // Simulate RDMA read operation

#      token: "Bearer xxxxx" # optional authentication token for the notification endpoint
#
#    retry:
#      attempts: 10 # number of retries for the job before giving up
#      delay: "500ms" # least amount of delay between each retry

`
	var job BatchJobRequest
	err := yaml.Unmarshal([]byte(replicateYaml), &job)
	if err != nil {
		t.Fatal("Failed to parse batch-job-replicate yaml", err)
	}

And multiple processes normally **don't share any memory**. This means that each running process has its own things, variables, and memory. And if you are consuming a large amount of memory in your code, **each process** will consume an equivalent amount of memory.

### Server Memory { #server-memory }