还记得系统中断点吗？该位置是进程映射的内存边界。
Remember the system break, the location that is the edge of mapped memory for the process?
不过，共享内存段依然不能跨越象限边界。
However, Shared memory segments still can not cross quadrant boundaries.
对这两个服务元素应用边界能放置不良消息或处理过度使用设备中的共享内存，从而影响其他服务。
Applying boundaries to both of these elements for a service will prevent any rogue messages or processing from over-consuming the Shared memory on the device and impacting other services.
使用内存工具运行相同应用程序会在第四行产生一个数组边界违规的报告。
Running the same application with a memory tool results in a report of an array-bounds violation on the fourth line.
共享内存段要求是连续的，因此不能跨越象限边界。
Shared memory segments are required to be contiguous, and therefore can not be split across quadrant boundaries.
如前所述，被映射的内存的边界(最后一个有效地址)常被称为系统中断点或者当前中断点。
As mentioned above, the edge of mapped memory — last valid address — is often known as the system break or the current break.
记住，lqd指令只能从16字节边界加载，所以它会在加载期间忽略最低有效的四位，而只会从内存加载已对齐的四字。
Remember, the LQD instruction only loads from 16-byte boundaries. It will therefore ignore the four least significant bits during the load, and just load an aligned quadword from memory.
数据结构不正确的初始化超出了分配内存的边界。
Bad data structure initializations going out of bounds of the allocated memory.
由于Perl没有内存分配问题，所以对我来说缺陷的最主要来源就是追踪计数器变量的错误(错误的初始化，错误的增量，或者错误的边界)。
Since Perl doesn't have memory allocation issues, the biggest source of bugs for me has been the improper tracking of counter variables (wrong initialization, wrong increments, or wrong bounds).
因为它在边界处，它是唯一一个可以任意的扩展（通过Unix的sbrk系统调用）成更大的块（除非因为所有的内存已经被消耗光了导致sbrk失败）。
Because it is at the border, it is the only chunk that can be arbitrarily extended (via sbrk in Unix) to be bigger than it is (unless of course sbrk fails because all memory has been exhausted).
由于C语言允许通过指针进行间接内存访问，但并不进行边界检查，因此可能存在缓冲区溢出。
The C language allows indirect access memory location by pointer without boundary check, which may cause buffer overflow.
该方法边界适应性好，输入数据信息少，内存要求也小。
It has many advantages, such as adaptability to boundary, scantling of input data and small memory capacity required.
内存破坏发生在，当向有效数据段内的一个内存位置写数据却写到了你意图使用的内存块的边界之外。
Memory corruption happens when writing to a location lying inside the legal data segment but outside the boundaries of the memory block you intended to use.
公共语言运行时使用元数据来完成以下任务：查找和加载类，在内存中安排实例，解析方法调用，生成本机代码，强制安全性，以及设置运行时上下文边界。
The runtime uses metadata to locate and load classes, lay out instances in memory, resolve method invocations, generate native code, enforce security, and set run-time context boundaries.
导出了本文正交曲线坐标系下的ADI法差分公式。本文方法边界适应能力强，计算时间短，内存少。
The difference equations for ADI method with the orthogonal curvilinear coordinate are developed, which are applicable to a complex boundary.
相对于基于堆栈滤波器边界检测法，该方法对堆栈滤波器的优化训练速度大大提高，所需内存大为减少；
Contrast to the stack filter based edge detection. the proposed method gainis higher speed, uses less memory for optimal training of stack filter.
在其他情况下，它可能会将内存地址与实际硬件边界对齐以优化性能。
In other cases it might align their memory addresses to natural hardware boundaries to optimize performance.
该算法能使用较少内存空间拟合平面散乱点集边界。
This algorithm can cost few memory space for fitting the boundary.
当边界在某一坐标区间内存在跃变点时，如何适当处理问题是值得注意的。
Appropriate methods are very important when there is a breakpoint within a boundary in a coordinate interval.
计算结果表明：线性边界元法具有计算精度高，所需节点少，占内存小，计算时间短的优点。
It has been shown that LBEM has the advantage of higher accuracy, fewer nodes, smaller memory and shorter time.
应用这两种编程技术，可以有效提高边界元法计算效率，并能增强边界元法程序对计算机内存容量的适应性。
The application of these two skills can promote substantially the computation efficiency of BEM, and enhance the adaptability of BEM to the computer capacity.
边界元法是一种新的数值计算方法，与已有的其它数值方法相比，具有方程组阶数低、输入数据少、占有内存少、速度快等优点。
The BEM is a new method of numerical calculation compared with other methods. It has many advantages, such as smaller order of equation, less data input, less internal storage and faster velocity .
边界元法是一种新的数值计算方法，与已有的其它数值方法相比，具有方程组阶数低、输入数据少、占有内存少、速度快等优点。
The BEM is a new method of numerical calculation compared with other methods. It has many advantages, such as smaller order of equation, less data input, less internal storage and faster velocity .
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