labels.send_testmail=Send Test Mail
labels.backup_configuration=Backup
labels.backup_name=Name
labels.backup_bulk_file=Bulk File
labels.backup_button_upload=Upload
labels.process_time_is_exceeded=The search processing time has exceeded the limit. The displayed results may be partial.
labels.user_given_name=Given Name
labels.givenName=Given Name
labels.user_surname=Surname
labels.surame=Surname
labels.user_mail=Mail

無論輪流執行與否（並行），你都需要相同的工時完成任務，同時需要執行相同工作量。

但是，在這種情境下，如果你可以邀請8位前收銀員/廚師（現在是清潔工）來幫忙，每個人（加上你）負責房子的某個區域，這樣你就可以 **平行** 地更快完成工作。

在這個場景中，每個清潔工（包括你）都是一個處理器，完成工作的一部分。

由於大多數的執行時間都花在實際的工作上（而不是等待），而電腦中的工作由 <abbr title="Central Processing Unit">CPU</abbr> 完成，因此這些問題被稱為「CPU 密集型」。

---

常見的 CPU 密集型操作範例包括那些需要進行複雜數學計算的任務。

例如：

* **音訊**或**圖像處理**；
* **電腦視覺**：一張圖片由數百萬個像素組成，每個像素有 3 個值/顏色，處理這些像素通常需要同時進行大量計算；

이 시나리오에서, (당신을 포함한) 각각의 청소부들은 프로세서가 될 것이고, 각자의 역할을 수행합니다.

실행 시간의 대부분이 대기가 아닌 실제 작업에 소요되고, 컴퓨터에서 작업은 <abbr title="Central Processing Unit">CPU</abbr>에서 이루어지므로, 이러한 문제를 "CPU에 묶였"다고 합니다.

---

CPU에 묶인 연산에 관한 흔한 예시는 복잡한 수학 처리를 필요로 하는 경우입니다.

예를 들어:

* **오디오** 또는 **이미지** 처리.

- Improved PVC Protection Controller's scalability by batch-processing PVCs by namespace with lazy live pod listing. ([#125372](https://github.com/kubernetes/kubernetes/pull/125372), [@hungnguyen243](https://github.com/hungnguyen243)) [SIG Apps, Node, Storage and Testing]

    accessible from workers. If the worker fails to read from the `work_dir`, it
    falls back to using RPC for dataset graph transfer.
*   Adds support for a new "distributed_epoch" processing mode. This processing
    mode distributes a dataset across all tf.data workers, instead of having
    each worker process the full dataset. See

				writeErrorResponse(ctx, w, apiErr, r.URL)
				return
			}
			reader = &b
			actualSize = n
		}

		// we have found the File part of the request we are done processing multipart-form
		break
	}

	// check if have a file
	if reader == nil {
		apiErr := errorCodes.ToAPIErr(ErrMalformedPOSTRequest)

    scheme is "OkHttp-Preemptive".

 *  **OkHttp now offers full-operation timeouts.** This sets a limit on how long the entire call may
    take and covers resolving DNS, connecting, writing the request body, server processing, and
    reading the full response body. If a call requires redirects or retries all must complete within
    one timeout period.

	}
	return versions, hdrVer, metaVer, buf, nil
}

// decodeVersions will decode a number of versions from a buffer
// and perform a callback for each version in order, newest first.
// Return errDoneForNow to stop processing and return nil.
// Any non-nil error is returned.
func decodeVersions(buf []byte, versions int, fn func(idx int, hdr, meta []byte) error) (err error) {
	var tHdr, tMeta []byte // Zero copy bytes
	for i := range versions {

このシナリオでは、清掃員 (あなたを含む) のそれぞれがプロセッサとなり、それぞれの役割を果たします。

また、実行時間のほとんどは (待機ではなく) 実際の作業に費やされ、コンピュータでの作業は<abbr title="Central Processing Unit">CPU</abbr>によって行われます。これらの問題は「CPUバウンド」と言います。

---

CPUバウンド操作の一般的な例は、複雑な数学処理が必要なものです。

例えば:

* **オーディオ** や **画像処理**。

* Fixes a bug where dry-run is not honored for pod/eviction sub-resource. ([#76969](https://github.com/kubernetes/kubernetes/pull/76969), [@apelisse](https://github.com/apelisse))
* Fixes bug in DaemonSetController causing it to stop processing some DaemonSets for 5 minutes after node removal. ([#76060](https://github.com/kubernetes/kubernetes/pull/76060), [@krzysztof-jastrzebski](https://github.com/krzysztof-jastrzebski))