• Current versions of Lotus Domino use the AIX large memory model.

    LotusDomino的当前版本使用AIX大内存模型。

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  • However, you may occasionally need to modify the in-memory model.

    然而,有时可能需要修改内存模型。

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  • Table 2 lists the default memory model configuration for different ranges of heap size.

    表2列出了不同堆大小范围的默认内存模型配置。

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  • The code in Listing 7 doesn't work because of the current definition of the memory model.

    由于当前内存模型的定义,清单7中的代码无效。

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  • However, even under the newly proposed memory model, double-checked locking will not work.

    尽管如此,即使是在新提议的内存模型中,双重检查锁定也是无效的。

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  • To accommodate programs with larger data requirements, AIX provides the large memory model.

    为了适应对数据需求较高的程序,AIX提供了一个大内存模型。

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  • Under the new memory model, this "fix" to double-checked locking renders the idiom thread-safe.

    在新的内存模型中,对双重检查锁定的这个“修复”使 idiom 线程安全。

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  • Programs that use the AIX large memory model have the following memory layout shown in figure 2.

    使用AIX大内存模型的程序具有图2所示的内存布局。

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  • A kind of self associative memory model about controllable tolerant fault field is designed.

    设计了一种可控容错域的自联想记忆模型。

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  • A context memory model and an approach for context query and association discovery are proposed.

    提出了上下文记忆模型以及进行上下文查询和关联关系发现的方法。

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  • We briefly described the DB2 architecture, background processes, memory model, security, tools, and so on.

    我们简要地描述了DB 2架构、后台进程、内存模型、安全性、工具等方面。

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  • The memory model allows what is known as "out-of-order writes" and is a prime reason why this idiom fails.

    内存模型允许所谓的“无序写入”,这也是这些习语失败的一个主要原因。

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  • Additionally, any changes made to an in-memory model would be lost each time the application was shut down.

    另外,每次关闭应用程序时,对内存模型进行的更改都将丢失。

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  • The order of execution is perceived to be out of order, but is allowed to happen given the current memory model.

    执行的顺序是颠倒的,但鉴于当前的内存模型,这也是允许发生的。

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  • Now that we have designed our memory model, Figure 8 shows our updated system diagram with the memory areas marked.

    至此,我们已经设计好了内存模型,图8展示了更新后的系统图,其中标出了存储区。

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  • The new memory model is simpler and more easily configured. See the following entries in the DB2 Information center.

    这种新的内存模型更加简单,而且更易于配置。

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  • If you want a native heap larger than 2gb and you are running AIX 5.1 or later, you can use the AIX very large memory model.

    如果您希望本机堆大于2gb,并且运行的是AIX 5.1或更高版本,那么您可以使用AIX超大内存模型。

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  • In the large memory model, the native heap starts at segment 3; segment 2 is only used for the primordial (initial) thread stack.

    在大内存模型中,本机堆从分段3开始;分段2仅用于原始(初始)线程栈。

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  • A perceptive and associative memory model for generalized artificial brain and the algorithm of its realization are proposed.

    提出一种广义人工脑感知联想记忆模型,给出它的实现算法。

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  • Late working memory model was the revision and compensation for early working memory model, which added the scene relief area.

    晚期工作记忆模型,是对早期工作记忆模型修改和补充,增加了情景缓冲区这一成分。

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  • The overhead from building the in-memory model is the apparent cause of Axis2/Rampart's poor performance in the UsernameToken case.

    构建内存模型的开销就是在UsernameToken例子中Axis2/Rampart表现不佳的明显原因。

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  • The AIX 32-bit memory model is divided and managed as 16 256mb segments. Figure 2 shows the layout of the default 32-bit AIX memory model.

    AIX32位内存模型被分成16个256MB分段进行管理。

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  • The reason that a generational GC memory model is preferred with large JVMs has to do with minimizing the amount of time spent performing GC.

    之所以首选分代GC内存模型,是因为大型JVM必须尽可能减少执行gc的时间。

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  • If you select this check box, the in-memory model of the database will include the permissions that you imported from the source database.

    如果选中此复选框,数据库的内存中模型将包括从源数据库导入的权限。

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  • In the currently used AIX large memory model, ConstrainedSHMSizeMB should be used only to support third-party applications that require Shared memory.

    在当前使用的AIX大内存模型中,ConstrainedSHMSizeMB应该只用来支持需要共享内存的第三方应用程序。

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  • A memory model describes, given a program and an execution trace of that program, whether the execution trace is a legal execution of the program.

    内存模型描述给定程序的某个特定的执行轨迹是否是该程序的一个合法执行。

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  • A modified associative memory model of Artificial Neural Network (ANN) is introduced into the fault diagnosis of computer numerical control machine tool.

    提出了将一种改进的人工神经网络联想记忆模型应用于计算机数控机床的故障诊断方法。

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  • In particular, the memory model defines semantics for volatile, synchronized, and final that make guarantees of visibility of memory operations across threads.

    特别是,内存模型定义了保证内存操作跨线程的可见性的volatile、synchronized和final的语义。

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  • A disadvantage of using an in-memory model in this situation is that the model would have to be repopulated from scratch each time the application was launched.

    在这种情况下,使用内存模型的缺点是每次启动应用程序时都要从头重新填充模型。

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  • A disadvantage of using an in-memory model in this situation is that the model would have to be repopulated from scratch each time the application was launched.

    在这种情况下,使用内存模型的缺点是每次启动应用程序时都要从头重新填充模型。

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