这种并行混合学习算法已经在多指令流多数据流(MIMD)平台实现。
The parallel hybrid algorithm is implemented on an MIMD Platform.
房署音频标准，使多数据流，即它使消费者可以播放两个不同的音轨同步。
The HD audio standard enables multi-streaming ie it allows consumers to play back two different audio tracks simultaneously.
目前已经提出了许多数据流聚类算法，但是都尚未解决以上数据流环境下的要求。
While a lot of clustering algorithms for data streams have been proposed, they offer no solution to the combination of these requirements.
多指令流多数据流系统可以进一步分为面向吞吐量的系统、高利用率的系统和面向响应时间的系统。
MIMD systems can be further classified into throughput-oriented systems, high-availability systems, and response oriented systems.
并行计算机体系结构包括单指令流多数据流(SIMD)和多指令流多数据流(MIMD)两种结构。
Parallel computer architecture consists of two classifications: simple instruction stream-multiple data stream (SIMD) and multiple instruction stream-multiple data stream (MIMD).
为加速循环程序执行，提出了固定指令多数据流计算模型，并设计了一个单芯片阵列处理器体系结构。
We put forward a technology named fixed instruction multiple data in order to accelerate the loop, and design a chip-multiprocessors architecture.
在大多数情况下，并行和可选分支过程应用的是相同的数据流反模式和模式。
In most of the cases, identical dataflow anti-patterns and patterns apply to parallel and alternative branching.
高速数据流聚集查询：目前已有的聚集算法绝大多数是采用近似技术，以牺牲精度来换取速度的提高。
Aggregation query over high rate data streams: basically, most existing aggregation algorithms adopt the approximation technology to obtain the advancement of rate by sacrificing the accuracy.
现在大多数的程序设计语言提供了异常处理机制，但程序中的异常结构会影响数据流分析。
Recently, most program languages have provided the exception handling, but the exception handling in the program can affect data flow analysis.
内部数据流系统在大多数个人电脑和服务器系统不灵活且相对较慢。
The internal data flow system in most PCs and server systems is inflexible and relatively slow.
内部数据流系统在大多数个人电脑和服务器系统不灵活且相对较慢。
The internal data flow system in most PCs and server systems is inflexible and relatively slow.
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