Obvious practical problems in this approach stem from the distributed-memory organization.
显然，这种方法的问题就产生于分布式内存的组织。
This approach does not suffer from the problems mentioned in the distributed-memory approach.
这种方法并没有分布式内存方法中所提到的那些问题。
The theoretical analyses and numerical experiments on distributed-memory multicomputers have proved that its speedup is approximate to linearity.
通过理论分析和在分布式存储多处理机上的数值实验，证明新算法的加速比接近于线性加速比。
Massively parallel Processing system (MPP) and PC cluster provide distributed-memory environments for parallel solving the generalized eigenvalue problem.
大规模并行处理系统(MPP)和PC机群为并行求解矩阵广义特征值问题提供了分布式存储环境。
Secondly, it compares those algorithm by the numerical experiments on distributed-memory multi-computer. Therefore, it verifies the feasibility of the acceleration methods.
然后，通过分布式环境下的数值实验，比较了这些算法的性能，从而验证了加速方法的可行性。
In a sparse distributed network, memory is a type of perception.
在一个稀疏分布式网络中，记忆是感知的一种。
To do this, you'll create additional user groups and run them at distributed locations, which provide more resources for the load, such as CPU power and memory.
这样做的话，您将创建额外的用户组，并且在分布式的位置中运行它们，它能够为负载提供更多的资源，例如CPU能量和内存等。
In the last two decades, a few cognitive scientists have contemplated ways to create a distributed memory.
在过去二十年里，一些认知科学家已经勾画出了创造分布式记忆的方法。
A hive mind is a distributed memory that both perceives and remembers.
蜂群思维是能同时进行感知和记忆的分布式内存。
This also means that smaller caches can be distributed over many JVMs, reducing the amount of memory per JVM than before when each JVM needed to cache everything.
这也意味着，可以在多个JVM上分布较小的缓存，从而在需要每个JVM缓存所有数据时较以前减少每个J VM的内存量。
But in a parallel supercomputer with a sparse, distributed memory, the distinction between memory and processing fades.
在采用稀疏分布式内存的超级计算机里，记忆与数据处理之间的差异消失了。
The two common hardware platforms used in HPC are Shared memory systems and distributed memory systems.
HPC中使用的两种主要的硬件平台是共享内存系统和分布式内存系统。
At the NASA Ames Research Center, Kanerva and colleagues fine-tuned his scheme for a sparse distributed memory in the mid-1980s by designing a very robust practical version in a computer.
1980年代中期，在美国宇航局艾姆斯研究中心，卡内尔瓦和同事们在一台计算机上设计出非常稳定的实用版本，对他的稀疏分布记忆结构进行了细调。
One theory holds that memory traces or fragments are distributed throughout the brain as biophysical or biochemical changes called engrams.
一种被称为记忆印记的理论认为，记忆的痕迹或碎片以生物物理变化或生物化学变化的形式分布于整个大脑。
Memcached is used by many large sites to cache various objects in a distributed memory system, rather than having to read from disk or a database.
许多大型站点都使用memcached在分布式内存系统中缓存各种对象，这样就不需要从磁盘或数据库读取它们。
Download memcached: a distributed memory caching system.
下载memcached：一种分布式内存缓存系统。
This allowed the system to be distributed over multiple processors, either using shared memory directly as in most Mach messages, or by adding code to copy the message to another processor if needed.
这种设计有利于把系统分布到多个处理器之上，既可以像大多数Mach消息那样直接通过共享内存来传递，也可以在必要的时候增加一点代码把消息复制到别的处理器上。
Memcached is a distributed memory caching system popular with applications deployed in UNIX environments.
memcached是一种流行的分布式内存缓存系统，在UNIX环境中部署的许多应用程序都使用它。
It's a distributed memory caching system which Facebook (and a ton of other sites) use as a caching layer between the web servers and MySQL servers (since database access is relatively slow).
它是一个分布式的内存缓存系统，Facebook(包含其他很多网站)用它作为Web服务器和MySQL服务器之间的缓存层(因为数据库访问相对比较慢)。
It is powered by memcached, a popular distributed memory-object caching system.
它受流行的分布式内存对象缓存系统memcached支持。
Where appropriate, this information can be cached in memory, but beware of the potential challenges that surround keeping the cache consistent in a distributed environment.
在合适的情况下，这个信息可以缓存到内存中，但是要注意在分布式的环境中保存这种缓存所潜在的挑战性。
Trends in "distributed computing" are to make networks appear like disks, memory, or other non-networked devices, rather than to exploit the unique capabilities of physical dispersion.
“分布式计算”的趋势则是使得网络如同硬盘，内存或者其他非网络设备一样消失，而不是探索物理分散的独特能力。
Legacy method: Currently support in-memory or distributed cache services.
遗留方法：当前支持内存或分布式缓存服务。
This article shows you how to set up an in-memory grid of data, and then perform computation and data updates in a distributed and parallel manner across the grid.
本文介绍如何设置内存中数据网格，然后以分布式和并行方式跨网格执行计算和数据更新。
Memcached is a high-performance, distributed memory object caching system.
memcached是一个高性能、分布式的内存对象缓存系统。
The memcached store relies on memory, too, but is distributed over several machines to preclude a single point of failure.
memcached存储也依赖于内存，但被分散于几个机器以避免单点故障。
This article described one of several patterns for using ObjectGrid: as an in-memory distributed database.
本文介绍了使用ObjectGrid的几种模式之一：作为内存分布式数据库。
GigaSpaces XAP is a distributed application server with an in-memory data grid.
GigaSpacesXAP是一款包含内存数据网格的分布式应用服务器。
Microsoft has released a new version of Velocity, a distributed in-memory application caching platform.
最近，微软发布了Velocity的最新版本，Velocity是一个分布式内存应用缓存平台。
Microsoft has released a new version of Velocity, a distributed in-memory application caching platform.
最近，微软发布了Velocity的最新版本，Velocity是一个分布式内存应用缓存平台。
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