Data distribution is one of the key factors that affect the performance of programs running on distributed memory multiprocessors.
数据分布是影响并行程序在分布主存多处理机上执行性能的重要因素。
In this paper, a scheduling algorithm is proposed for the multiprocessors based on dynamic voltage scaling algorithm and PF algorithm.
在研究单处理器动态电压缩放和多处理器的PF调度算法的基础上，提出了一种多处理器节能调度算法。
Due to technology push and application pull, the Chip Multiprocessors (CMP) have become the trend of the high performance microprocessors.
在工艺和应用的双重推动下，片上多核处理器成为当前高性能微处理器的发展趋势。
Two new methods for partitioning and mapping nested loops with non-constant dependencies into distributed memory multiprocessors are presented.
给出了将具有变相关的嵌套循环映射到具有分布式存储的多处理机上的两种方法。
We put forward a technology named fixed instruction multiple data in order to accelerate the loop, and design a chip-multiprocessors architecture.
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。
After the basic theory of ACA is introduced, a multiprocessors scheduling policy based on an improved ant colony algorithm is proposed in this paper.
在介绍蚁群算法基本原理以及探讨该算法的缺陷基础上，针对多处理器任务调度问题，提出了一种基于改进型蚁群算法的调度策略。
CUDA gives full play to the advantages of GPU Streaming Multiprocessors Array and greatly improves the efficiency of the parallel computation programs.
倍。CUDA使GPU流处理器阵列的性能得到充分发挥，极大地提高了并行计算程序的效率。
The algorithm, which can be parallelly implemented in the environment of multiprocessors, satisfies efficiently realtime requirement of the navigation system with multi-subsystems.
这种在多处理机环境下并行处理的分布式滤波算法有效地解决了具有多子系统的容错导航系统的实时要求。
These factors allow a multiplayer online game engine to take advantage of the power of parallel database technology, such as symmetric multiprocessors, and other large memory systems.
这些因素使多玩家在线游戏引擎可以利用并行数据库技术，比如对称多处理器，以及其他大内存系统。
This Paper describes some problems, which are very important for parallel computation, on storage allocation for pipeline processors, parallel processors, multiprocessors and VLSI Compuer systems.
本文描述了流水线处理机、并行处理机、多处理机以及VLSI计算机系统中存贮分配的一些问题，它们对并行计算是很重要的。
This Paper describes some problems, which are very important for parallel computation, on storage allocation for pipeline processors, parallel processors, multiprocessors and VLSI Computer systems.
本文描述了流水线处理机、并行处理机、多处理机以及VLSI计算机系统中存贮分配的一些问题，它们对并行计算是很重要的。
This implementation allows threads within different processes to be scheduled according to a single scheme of relative prioritizing. This is suited for exploiting the concurrence of multiprocessors.
核心级线程如许不同进程里的线程按照同一相对优先方法调度，这适合于发挥多处理器的并发优点。
This implementation allows threads within different processes to be scheduled according to a single scheme of relative prioritizing. This is suited for exploiting the concurrence of multiprocessors.
核心级线程如许不同进程里的线程按照同一相对优先方法调度，这适合于发挥多处理器的并发优点。
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