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[Embeded-SCM Develop从体系结构的演变看高性能微处理器的发展趋势

Description: 随着高性能计算的需求,计算机体系结构发生了很大变化。作为计算机核心部件的微处理器,其性能和复杂性(晶体管数、时钟频率和峰值)也按照摩尔定律增长。微处理器性能的改善在很大程度上归功于体系结构的发展和VLSI工艺的改进。体系结构的发展主要体现在三个方面,即超流水、多指令发射和多指令操作。 -With the demand for high-performance computing, computer architecture undergone great changes. As the core components of computer microprocessors, its performance and complexity (number of transistors, clock frequency and peak), in accordance with Moore's Law also increase. Microprocessor performance is largely due to improvements in the structure and development of VLSI technology improvements. Architecture development embodied in the three main areas, namely water-more instructions and fired more operating instructions.
Platform: | Size: 102112 | Author: 李易 | Hits:

[Mathimatics-Numerical algorithms高性能计算高斯消去解方程组c++程序

Description: 高性能计算高斯消去解方程组c++程序(复杂度 n^3-high-performance computing solutions Gaussian Elimination equations c (n ^ complex 3
Platform: | Size: 8194 | Author: zhr | Hits:

[WEB Code高性能计算并行编程技术—MPI并行程序设计

Description: 高性能计算并行编程技术—MPI并行程序设计 呵呵,我还没看呢!大家一起看吧!!!哈哈 废话一大堆,其实我也讨厌说,但是本站要求-parallel programming high-performance computing technology - MPI parallel programming Oh, I do not! Everyone sees! ! ! Haha lot of nonsense, in fact, I hate that, but the site required!
Platform: | Size: 855890 | Author: | Hits:

[Other resource高性能计算之并行编程技术—— MPI并

Description: 清华都志辉作品,基于MPI并行计算的最佳书籍《高性能计算之并行编程技术—— MPI并行程序设计》-Qinghua DU works MPI parallel computation based on the best books "high-performance calculation parallel programming techniques -- MPI parallel programming"
Platform: | Size: 829732 | Author: oewilliam | Hits:

[Report papers高性能计算导论\高性能并行集群的性能测试与优化研究

Description: 文章对高性能并行集群的性能测试与优化进行了分析研究
Platform: | Size: 208380 | Author: lizhang | Hits:

[Database基于云的高性能分布式内存数据库的开发技术

Description: 基于云的高性能分布式内存数据库的开发技术 分布式,云计算,云服务,大数据,NoSQL,面向对象
Platform: | Size: 1216579 | Author: hzk1985117 | Hits:

[Database高性能分布式云数据库

Description: 高性能分布式云数据库 分布式,云计算,云服务,大数据,NoSQL,面向对象
Platform: | Size: 3528199 | Author: hzk1985117 | Hits:

[Mathimatics-Numerical algorithms高性能计算高斯消去解方程组c++程序

Description: 高性能计算高斯消去解方程组c++程序(复杂度 n^3-high-performance computing solutions Gaussian Elimination equations c (n ^ complex 3
Platform: | Size: 8192 | Author: zhr | Hits:

[Documents高性能计算并行编程技术—MPI并行程序设计

Description: 高性能计算并行编程技术—MPI并行程序设计 呵呵,我还没看呢!大家一起看吧!!!哈哈 废话一大堆,其实我也讨厌说,但是本站要求-parallel programming high-performance computing technology- MPI parallel programming Oh, I do not! Everyone sees! ! ! Haha lot of nonsense, in fact, I hate that, but the site required!
Platform: | Size: 856064 | Author: | Hits:

[MPI高性能计算之并行编程技术—— MPI并

Description: 清华都志辉作品,基于MPI并行计算的最佳书籍《高性能计算之并行编程技术—— MPI并行程序设计》-Qinghua DU works MPI parallel computation based on the best books "high-performance calculation parallel programming techniques-- MPI parallel programming"
Platform: | Size: 829440 | Author: oewilliam | Hits:

[Other2005HCP

Description: 2005年中科院,数学与系统的高性能计算讲义,主要是关于MPI编程的-2005 the Chinese Academy of Sciences, Mathematics and Systems High Performance Computing overhead, mainly on MPI Programming
Platform: | Size: 1124352 | Author: 王点 | Hits:

[Data structsPARD

Description: 大规模稀疏矩阵的求解是高性能计算中的一个常见问题。本文介绍了用直接法求解矩阵的一些问题以及使用Intel MKLPARDISO 接口求解稀疏矩阵的方法。 -Large-scale sparse matrix is a high-performance computing to solve a common problem. This paper introduces the direct matrix method and the use of some of the problems Intel MKLPARDISO interface method for solving sparse matrix.
Platform: | Size: 203776 | Author: 段保京 | Hits:

[AI-NN-PRgenetic_arithmetic

Description: 遗传算法作为具有系统优化、适应和学习的高性能计算和建模方法的研究渐趋成熟。在介绍遗传算法的产生和发展历史之后,慨述厂遗传算法的理论和应用情况-Genetic algorithm as a system optimization, adaptation and learning of high-performance computing and modeling method of maturing. In introducing the genetic algorithm generation and development history, the generous state plant genetic algorithm theory and application of
Platform: | Size: 6070272 | Author: 韩君 | Hits:

[Otherparallel

Description: 高性能计算的一些论文,包括MPI 编程,openmp 编程。多核编程-A number of papers high-performance computing, including the MPI programming, openmp programming. Multicore Programming
Platform: | Size: 14088192 | Author: wanglu | Hits:

[Otherlecture2-cuda-introduction-2008

Description: 伊利诺伊州立大学胡文美教授授课的关于GPU高性能计算的ppt(2)-Illinois State University Professor Hu Wenmei to teach high-performance computing on the GPU ppt
Platform: | Size: 100352 | Author: 乌鸦 | Hits:

[Otherlecture4-cuda-introduction-2008

Description: 伊利诺伊州立大学胡文美教授的关于GPU高性能计算的PPT(4)-Illinois State University Professor Hu Wenmei high-performance computing on the GPU of the PPT (4)
Platform: | Size: 121856 | Author: 乌鸦 | Hits:

[Otherlecture5-cuda-introduction-2008

Description: 伊利诺伊州立大学胡文美教授的关于GPU高性能计算的PPT(5)-Illinois State University Professor Hu Wenmei high-performance computing on the GPU of the PPT (5)
Platform: | Size: 190464 | Author: 乌鸦 | Hits:

[MPIHigh-Performance-Computing-

Description: 一本关于高性能计算的好书,国外大牛写的,通俗易懂,全面而不繁琐。读懂它你就能写好自己的算法-A good book on high performance computing, foreign, Daniel, and user-friendly, comprehensive but not cumbersome. Read it you will be able to write their own algorithms
Platform: | Size: 2794496 | Author: suntnt | Hits:

[Documents利用FPGA进行高性能计算

Description: 利用FPGA进行高性能计算,主要针对用FPGA来编写算法的资料,很值得FPGA工程师看!
Platform: | Size: 225947 | Author: gxb2525775 | Hits:

[Documents高性能计算自选题目实验报告

Description: 对于一副图像,比如8000*5333分辨率,我们在处理时,通常思路是从第1个像素开始,一直计算到最后一个像素。其实,目前不论手机还是个人电脑,处理器都是多核。那么完全可以将整副图像分成若干块,比如cpu为4核处理器,那么可以分成4块,每块图像大小为2000*5333,这样程序可以创建4个线程,每个处理器执行一个线程,每个线程处理一个图像块。虽然这样操作后,运算速度不会显著提升4倍,因为线程创建、释放、上下文切换都要耗些时间。但运算速度还是将明显提升,一般4核 vs 1核,运算时间将降低一半。(For an image, such as 8000 * 5333 resolution, we usually start with the first pixel and calculate it to the last pixel. In fact, at present, whether mobile phones or personal computers, processors are multi-core. Then the whole image can be divided into several blocks, such as CPU 4 core processor, then can be divided into four blocks, each image size of 2000*5333, so that the program can create four threads, each processor executes a thread, each thread processing an image block. Although this operation will not significantly increase the computing speed by four times, because thread creation, release, context switching will take some time. But the operation speed will be improved obviously. Generally, 4 cores vs 1 cores will reduce the operation time by half)
Platform: | Size: 5420032 | Author: 柒凛 | Hits:
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