
词语导航
基本信息
词语:内存竞争
繁体:內存競爭
拼音:nèi cún jìng zhēng
英语翻译
【电】 memory contention
分词翻译
内存的英语翻译:
【计】 core storage; core store; EMS memory; internal storage; memory
竞争的英语翻译:
struggle; compete; contend; rivalry; setoff; vie; competition; emulation
【计】 race
【经】 competition; competitiveness; contest; rivalrywWw.WENtiYi.cOM
翻译例句
1. 您应该将对本地CPU、内存和磁盘资源的竞争减少到最小,这一点至关重要。
It is crucial that the competition for local CPU, memory and disk resources be kept to an absolute minimum.
2. 运行与测试无关的其他应用程序将引入针对本地CPU、内存和磁盘资源的竞争。
Having other applications also running that are unrelated to the testing introduces competition for local CPU, memory and disk resources.
3. 这种特性特别适用于检测死锁、锁竞争、内存泄漏和循环线程。
It"s particularly useful for detecting symptoms of deadlocks, lock contention, memory leaks, and cycling threads.
4. 在英特尔的案例中,这样的“决策转折点”出现的原因是:日本的新对手企业不惜一切代价与英特尔公司搞削价竞争,公司的内存条业务受到猛烈冲击。
In Intel"s case, such a "strategic inflection point" arose because its memory-chip business came under heavy assault from new Japanese rivals willing to undercut any price Intel offered.
5. 通过复制(它是WebSphereeXtremeScale以及类似驻内存数据网格产品的核心竞争力),这些事件将具有容忍性。
Through replication — which is a core competency of WebSphere eXtreme Scale and similar in-memory data grid offerings — these events can be tolerated.
6. 在内存使用方面,time_rxp . py最多时使用大约28MB,与以前的竞争者中最节俭的一个gnosis . xml . objectify相似。
In memory usage, time_rxp.py peaks around 28 MB, just about the same as the most parsimonious prior contender, gnosis.xml.objectify.
7. 这是一款新的个人电脑,内存是其他竞争对手的两倍。
It"s a new personal computer that has twice as much memory as the competition.
8. 同时的意思就是:应用程序在同一时刻能被激活并竞争各种资源比如cpu,内存,硬盘等等。
"Concurrently" means that applications can be active at the same time and contend for the various resources such as CPU, memory, hard disk and so on.
9. 这降低了内存访问时间和抖动,通过多个操作系统同时,竞争的内存访问是可以避免的。
This reduces memory access times and jitter, as simultaneous, competing memory access by multiple OS is avoided.
10. 这降低了内存访问时间和抖动,通过多个操作系统同时,竞争的内存访问是可以避免的。
This reduces memory access times and jitter, as simultaneous, competing memory access by multiple OS is avoided.
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