Time had wiped her image from his memory.
时间把她的形象从他的记忆中抹去了。
As time went by, I gradually forgot the unhappy memory.
随着时间的流逝，我渐渐忘记了不开心的回忆。
These researchers also claim that improvements of memory overnight can be explained by the mere passage of time, rather than attributed to sleep.
这些研究人员还声称，一夜之间记忆力的改善可以用时间的推移来解释，而不是归因于睡眠。
The realization that the physical self has continuity in time, according to this hypothesis, lays the foundation for the emergence of autobiographical memory.
根据这一假说，对物质自我具有时间连续性的认识，为自传体记忆的出现奠定了基础。
Listener leaks often waste memory and time.
侦听器泄漏往往会浪费内存和时间。
Everyone has had a better youth and beautiful age, those beautiful days are transient, leaving only the clear or hazy memory. Time Oh, you go too hastily, why not stop to rest your feet?
每个人都曾有过美好的青春和美丽的年纪，可那些绚丽的日子却稍纵即逝，留下的只有清晰抑或朦胧的记忆。
Time will let people slowly know, memory is very good.
时间会让人慢慢的知道，记忆是很美好的。
Once you're working with the right amount of memory, it's time to get tweaking.
当你有了足够的内存容量以后，是时候开始调整了。
The new version trades memory for time because it retains intermediate computations for later use.
新的版本用内存换来了时间上的节省，因为它保留了中间的计算以便以后使用。
Bees, he found, have a memory for time and space, using landmarks such as trees, rock formations or barns to help guide themselves.
他发现，蜜蜂具有时间和空间记忆，能利用树、岩层或谷仓这样的地标来帮自己引路。
A timeline mapping memory usage to time would reveal the severity of the leak.
在内存使用量与时间之间建立映射的时间线将揭示泄漏的严重程度。
This can significantly reduce the response time and memory footprint.
这会显著减少响应时间和内存占用量。
Using a cache is a balancing act between time and memory size.
使用缓存是对时间与内存大小之间的一个平衡行为。
You can potentially save memory and startup time by deferring these references or reducing the reference set of classes.
通过延迟这些引用或者减少对一些类的引用，您有可能会节约内存和启动时间。
You'll use very little memory or time to process the XML, and if you really do only use a piece of data once or twice, you'll get huge benefits from this approach.
使用它处理XML只使用很少的内存和时间，如果确实只需要使用一条数据一到两次，则此方法可让您获益巨大。
By default, Xdebug displays fields for time, memory usage, function name, and the depth of the function call.
默认情况下，Xdebug将显示时间、内存使用量、函数名和函数调用深度字段。
But if you have the time and memory, XMLPPM achieves astonishing compression rates.
但如果您有时间和内存，xmlppm可以达到令人惊讶的压缩比。
There are, however, means by which this benefit can be unwittingly defeated, thereby increasing startup time and memory consumption.
不过，有一些方法会无意中让这种好处失效，从而增加了启动时间和内存消耗。
Stateful session beans consume a substantial amount of the container's time and memory.
有状态会话bean消耗了容器的大量时间和内存。
So if you don't need to use these demos, shutting these services off will save you startup time, memory, and CPU usage (see Figure 5 and Figure 6).
因此，如果不需要使用这些演示程序，关闭这些服务将节省启动时间、内存和CPU(参见图5和图6)。
The RTSJ addresses several problematic areas, including scheduling, memory management, threading, synchronization, time, clocks, and asynchronous event handling.
RTSJ 处理了几个有问题的地方，包括调度、内存管理、线程、同步、计时、时钟和异步事件处理。
The use of RDMA enables direct updates in member host memory without requiring member processor time.
RDMA的使用支持成员主机内存中的直接更新，不需要成员处理器时间。
This produces a great savings of time and memory, although it requires the programmer to explicitly manage objects in the pool.
这可以大大节约时间和内存，尽管它要求程序员显式管理池中的对象。
Start by taking a look at initial boot time and memory consumption of Apache Geronimo.
首先查看一下ApacheGeronimo的初始引导时间和内存消耗情况。
This would mean that purchasing more memory wouldn't help with the rebuilding time.
这将意味着购买更多内存对重构时间没有帮助。
However, as the table grows, the RUNSTATS command takes more time, CPU and memory resources to complete.
然而，随着表的增长，完成RUNSTATS命令将占用更多时间、CPU和内存资源。
Most of the time this is due to insufficient memory.
大多数时候，这是由于内存不足。
Your memory will fade over time, and things which seem perfectly normal and commonplace now might be fascinating to your grandchildren.
你的记忆会随着时间的流逝而褪色，现在看起来平淡无奇的事物，在若干年后或许就会让你的子孙们为之着迷。
The cache can easily scale to 40 GB, which can be spread across multiple machines, so the whole cache can be in memory, with minimal access time.
缓存可以轻松扩展到40GB，可在多台机器上分布，因此整个缓存可以位于内存中，只需要很少的访问时间。
The cache can easily scale to 40 GB, which can be spread across multiple machines, so the whole cache can be in memory, with minimal access time.
缓存可以轻松扩展到40GB，可在多台机器上分布，因此整个缓存可以位于内存中，只需要很少的访问时间。
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