- Sort Score
- Result 10 results
- Languages All
Results 31 - 40 of 1,014 for central (0.21 sec)
-
android/guava-tests/test/com/google/common/util/concurrent/JSR166TestCase.java
* <li>These tests are "conformance tests", and do not attempt to test throughput, latency, * scalability or other performance factors (see the separate "jtreg" tests for a set intended * to check these for the most central aspects of functionality.) So, most tests use the * smallest sensible numbers of threads, collection sizes, etc needed to check basic * conformance.
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Mon Jun 10 19:21:11 UTC 2024 - 37.7K bytes - Viewed (0) -
docs/pt/docs/async.md
E a maior parte do tempo de execução é tomada por trabalho (ao invés de ficar esperando), e o trabalho em um computador é feito pela <abbr title="Unidade de Processamento Central">CPU</abbr>, que podem gerar problemas que são chamados de "limite de CPU". --- Exemplos comuns de limite de CPU são coisas que exigem processamento matemático complexo. Por exemplo:
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu Apr 18 19:53:19 UTC 2024 - 22.2K bytes - Viewed (0) -
gradle/verification-metadata.xml
<pgp value="CB3808E03CD602A6DC5B882552931F4B72B4F54C"/> </artifact> </component> <component group="net.rubygrapefruit" name="ansi-control-sequence-util" version="0.3"> <artifact name="ansi-control-sequence-util-0.3.jar"> <pgp value="5B131E826582CF79510DAA11CD3E539F208832D0"/> </artifact> </component>
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Tue May 21 22:30:36 UTC 2024 - 90.1K bytes - Viewed (0) -
docs/en/docs/async.md
And as most of the execution time is taken by actual work (instead of waiting), and the work in a computer is done by a <abbr title="Central Processing Unit">CPU</abbr>, they call these problems "CPU bound". --- Common examples of CPU bound operations are things that require complex math processing. For example:
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Mon May 20 00:24:48 UTC 2024 - 23K bytes - Viewed (0) -
docs/zh/docs/async.md
无论是否轮流执行(并发),都需要相同的时间来完成,而你也会完成相同的工作量。 但在这种情况下,如果你能带上 8 名前收银员/厨师,现在是清洁工一起清扫,他们中的每一个人(加上你)都能占据房子的一个区域来清扫,你就可以在额外的帮助下并行的更快地完成所有工作。 在这个场景中,每个清洁工(包括您)都将是一个处理器,完成这个工作的一部分。 由于大多数执行时间是由实际工作(而不是等待)占用的,并且计算机中的工作是由 <abbr title="Central Processing Unit">CPU</abbr> 完成的,所以他们称这些问题为"CPU 密集型"。 --- CPU 密集型操作的常见示例是需要复杂的数学处理。 例如: * **音频**或**图像**处理; * **计算机视觉**: 一幅图像由数百万像素组成,每个像素有3种颜色值,处理通常需要同时对这些像素进行计算;
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu Apr 18 19:53:19 UTC 2024 - 21.1K bytes - Viewed (0) -
src/runtime/arena.go
s.freeIndexForScan = 1 // Set up the range for allocation. s.userArenaChunkFree = makeAddrRange(base, base+s.elemsize) // Put the large span in the mcentral swept list so that it's // visible to the background sweeper. h.central[spc].mcentral.fullSwept(h.sweepgen).push(s) // Set up an allocation header. Avoid write barriers here because this type // is not a real type, and it exists in an invalid location.
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 08 17:44:56 UTC 2024 - 37.9K bytes - Viewed (0) -
docs/ko/docs/async.md
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu Apr 18 19:53:19 UTC 2024 - 26.7K bytes - Viewed (0) -
src/runtime/panic.go
// After this point we can copy the stack. if !d.heap { return } mp := acquirem() pp := mp.p.ptr() if len(pp.deferpool) == cap(pp.deferpool) { // Transfer half of local cache to the central cache. var first, last *_defer for len(pp.deferpool) > cap(pp.deferpool)/2 { n := len(pp.deferpool) d := pp.deferpool[n-1] pp.deferpool[n-1] = nil pp.deferpool = pp.deferpool[:n-1]
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 29 17:58:53 UTC 2024 - 43.8K bytes - Viewed (0) -
docs/ja/docs/async.md
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu Apr 18 19:53:19 UTC 2024 - 27.8K bytes - Viewed (0) -
docs/zh/docs/how-to/general.md
Bill Zhong <******@****.***> 1713829269 -0230
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Mon Apr 22 23:41:09 UTC 2024 - 2.1K bytes - Viewed (0)