MPP:大规模并行处理
“大规模并行处理”是计算机领域的一个重要技术概念,常被缩写为MPP,以便书写和使用时更加便捷。MPP技术通过协调多个处理器同时执行任务,大幅提升数据处理效率,广泛应用于高性能计算、大数据分析等场景。
Massive Parallel Processing具体释义
Massive Parallel Processing的英文发音
例句
- Because of its massive parallel processing, distributed storage, self-adaptation and error allowance, ANN has been widely applied in biology, electronics, computers, mathematics and physics.
- 神经网络技术以其大规模并行处理(MPP)、分布式存储、自适应性、容错性等优点被广泛地应用于生物、电子、计算机、数学和物理等领域。
- A major difficulty of massive parallel processing ( MPP ) is that the hardware for communications and memory sharing inevitably gets more and more complicated with the increase of processing units.
- 通用大规模并行计算(MassiveParallelProcessing,MPP)的主要困难在于有关消息传递和内存共享的硬件必然随着处理单元的增加而复杂化。
- Message passing based massive parallel processing systems, which performance greatly depend on the efficiency of the communication among their internal processors, are becoming the mainstream of the supercomputing market.
- 基于消息传递的大规模并行计算机系统逐渐成为超高性能计算机市场上的主流产品,它的性能在很大程度上取决于其内部处理机之间的通讯效率。
- Simulation of Discrete Systems with Local Interactions : A Conceptual Model for Massive Parallel Processing(MPP)
- 近程作用离散系统大规模并行模拟概念模型
- 3-D prestack depth migration on massive parallel processing system
- 大规模并行处理(MPP)机三维叠前深度偏移
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