数据分解:数据分解也称为数据级并行(data-level parallelism)。是将应用程序根据各任务所处理的数据而非按任务来进行分解 …blog.chinaunix.net|基于6个网页 2. 资料级平行运算 ...能达成影像编码(image coding)演算法的资料级平行运算(data-level parallelism);另一种方式是采用超长指令集(very-lo…www.dzsc.com...
必应词典为您提供data-levelparallelism的释义,网络释义: 数据级并行;资料级平行运算;
4.5 Detecting and Enhancing Loop-Level Parallelism察觉并增强循环级别的并行 更新于241019 4.1 Introduction介绍 SIMD(single instructions multiple data,单指令多数据流)可以认为是一种DLP技术(Data Level Parrellel),而关于SIMD应用于何处一直都是一个备受关注的问题。 在SIMD分类被提出五年后(Flynn,1966年),答案不...
...5.4Superscalar和VLIW总结 4.6资料平行(DataLevelParallelism) 4.6.1何为SIMD、MMX、SSE 4.6.2几种不同形式的SSE …www.kingstone.com.tw|基于17个网页 2. 数据并行 ...tionLevelParallelism) 4.6数据并行(DataLevelParallelism) 4.7线程并行(ThreadLevelParallelism) 4.8并行总结 4.9微架 …www.shangxueba.com|...
FormalEquation: Speedup=1(1−p)+pN 其中p表示可供加速代码的百分比,N表示可以使这部分代码加速的倍 e.g. 若代码中有95%的部分可供加速,则整体加速比最多为 20,即$\displaystyle \frac{1}{0.05} = 20$ Consequences: 为了正确的加速代码,需要了解哪些部分的代码占用了大部分的运行时间 ...
Lecture 13 (part 2) Data Level Parallelism (1) EEC 171 Parallel Architectures John Owens UC Davis Credits • © John Owens / UC Davis 2007–9. • Thanks to many sources for slide material: Computer Organization and Design (Patterson & Hennessy) © 2005, Computer Architecture (Hennessy...
Data Level Parallelism (Vector Processors):数据级并行(向量处理器) 热度: 安全生产PPT模板 (40) 热度: 计算机知识可视化编程理论概述(PPT-51)0423005200第一期 热度: dataparallelism ChrisOlston Yahoo!Research set-orientedcomputation datamanagementoperationstendtobe“set-oriented”,e.g.: ...
Data flow and dependence analysis for instruction level parallelism Instruction-level parallel architectures present their own set of opportunities and needs, requiring the development of a new class of compiler optimizatio... BR Rau - Springer-Verlag 被引量: 85发表: 1991年 Single-chip multiprocessor...
Soft- ware simultaneous multi-threading, a technique to exploit task-level parallelism to improve instruction- and data-level parallelism. In Proceedings of the 16th International Workshop on Integrated Circuit and System Design. Power and Timing Modeling, Optimization and Simu- lation (PATMOS) (2006...
Since embedded systems often consist of multiple tasks, task-level parallelism can be used for the purpose. Simultaneous multi-threading (SMT) proved a valuable technique to do so in high-performance systems, but it cannot be afforded in system with tight energy budgets. Moreover, it does not...