그리고 **FastAPI**를 사용함으로써 동일한 성능을 낼 수 있습니다.

또한 병렬성과 비동기성을 동시에 사용할 수 있기 때문에, 대부분의 테스트가 완료된 NodeJS 프레임워크보다 더 높은 성능을 얻고 C에 더 가까운 컴파일 언어인 Go와 동등한 성능을 얻을 수 있습니다<a href="https://www.techempower.com/benchmarks/#section=data-r17&hw=ph&test=query&l=zijmkf-1" class="external-link" target="_blank">(모두 Starlette 덕분입니다)</a>.

### 동시성이 병렬성보다 더 나은가?

그렇지 않습니다! 그것이 이야기의 교훈은 아닙니다.

*   Python 3.3+ support via changes to python codebase and ability to specify
    python version via ./configure.

*   Some improvements to GPU performance and memory usage:
    [convnet benchmarks](https://github.com/soumith/convnet-benchmarks/issues/66)
    roughly equivalent with native cudnn v2 performance. Improvements mostly due
    to moving to 32-bit indices, faster shuffling kernels. More improvements to
    come in later releases.

そして、それは**FastAPI**で得られるパフォーマンスと同じレベルです。

また、並列処理と非同期処理を同時に実行できるため、テスト済みのほとんどのNodeJSフレームワークよりも高く、Goと同等のパフォーマンスが得られます。Goは、Cに近いコンパイル言語です <a href="https://www.techempower.com/benchmarks/#section=data-r17&hw=ph&test=query&l=zijmkf-1" class="external-link" target="_blank">(Starletteに感謝します)</a>。

### 並行は並列よりも優れていますか？

いや！それはこの話の教訓ではありません。

Gunicornと組み合わせることで、非同期でマルチプロセスなサーバーを持つことがきます。

詳細は[デプロイ](deployment/index.md){.internal-link target=_blank}の項目で確認してください。

///

## ベンチマーク と スピード

			if r != needle {
				rs = append(rs, rune(r))
			}
		}
	}
	// Shuffle the runes so that they are not in descending order.
	// The sort is deterministic since this is used for benchmarks,
	// which need to be repeatable.
	rr := rand.New(rand.NewSource(1))
	rr.Shuffle(len(rs), func(i, j int) {
		rs[i], rs[j] = rs[j], rs[i]
	})
	uchars := string(rs)

	return func(b *testing.B, n int) {

// This makes it easy to run the TestServer from any of the tests.
// Using this interface, functionalities to be used in tests can be
// made generalized, and can be integrated in benchmarks/unit tests/go check suite tests.
type TestErrHandler interface {
	testing.TB
}

const (
	// ErasureSDStr is the string which is used as notation for Single node ObjectLayer in the unit tests.

* Add scheduler benchmark tests for PodAffinity and NodeAffinity. ([#69898](https://github.com/kubernetes/kubernetes/pull/69898), [@Huang-Wei](https://github.com/Huang-Wei))

pkg syscall, type SysProcAttr struct
pkg syscall, type Timespec struct
pkg syscall, type Timeval struct
pkg syscall, var ForkLock sync.RWMutex
pkg syscall, var SocketDisableIPv6 bool
pkg testing, func Benchmark(func(*B)) BenchmarkResult
pkg testing, func Main(func(string, string) (bool, error), []InternalTest, []InternalBenchmark, []InternalExample)
pkg testing, func RunBenchmarks(func(string, string) (bool, error), []InternalBenchmark)