See also this question about memory fragmentation.
另请参阅这个问题关于记忆的碎片。
Frequent font atlas rebuilds willrapidly degrade runtime performance as well as cause memory fragmentation.
频繁的字体图集重建将迅速降低运行效率，也会导致内存碎片。
The dynamic memory management of SACOS can decrease efficiently the memory management overhead and memory fragmentation and improve the memory utilization.
SACOS的动态内存管理方法可以有效地减少内存管理开销和内存碎片，提高内存的利用率。
In addition, various cross-platform improvements in Domino 7 contributed another 10 to 20 percent of processor savings (such as quick pool implementation and memory fragmentation).
另外，Domino7中的各种跨平台的改进还可以节省 10% 到 20% 的处理器资源（例如快速池的实现和内存分片）。
The most likely type is a memory problem, such as memory leak, heap fragmentation, or large object allocation.
最有可能的类型是内存问题，如内存泄漏、堆碎片、或者大对象分配。
The reason for this is to limit the amount of dirty pages in memory, which further reduces I/O overhead and disk fragmentation.
这么做可以限制内存中 “脏”页面的数量，从而进一步减少I/O开销和磁盘碎片。
OutOfMemoryErrors due to fragmentation issues or due to native memory leaks are beyond the scope of this article.
因碎片问题或本机内存泄漏而导致的OutOfMemoryError 错误不在本文讨论之列。
For native memory leaks, the process size will increase, and for fragmentation issues, there will be a significant amount of free heap at the time of the occurrence of the OutOfMemoryError.
对于本机内存泄漏，进程大小将增加，对于碎片问题，在发生OutOfMemoryError错误时，会存在大量的可用堆。
When analyzing native_stderr.log, we found that the GC cycles were fine, and there were no memory issues, such as memory leak, heap fragmentation, and large object allocation.
在分析native_stderr . log时，我们发现垃圾收集周期没有问题，并且不存在内存问题，如内存泄漏、堆碎片和大对象分配。
As Figure 6 illustrates, memory-use overhead that's because of internal fragmentation in the spine has been optimized by including any trailing data for a leaf into the spine.
如图6 所示，spine 中由于内部碎片导致的内存使用开销已经通过将叶子的所有trailing数据包含到spine 中而得到优化。
I am willing to lose that has the fragmentation of the memory.
我愿意丢失那已经支离破碎的记忆。
Analysis attempted to allocate more than 1, 5 GB of memory - still not a problem, but due to fragmentation, my memory manager was unable to execute the request.
分析试图拨出超过1.5GB的记忆-仍然不是问题，但由于分散，我的内存管理器是无法执行的请求。
Analysis attempted to allocate more than 1, 5 GB of memory - still not a problem, but due to fragmentation, my memory manager was unable to execute the request.
分析试图拨出超过1.5GB的记忆-仍然不是问题，但由于分散，我的内存管理器是无法执行的请求。
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