High Performance C++

机译：高性能C ++

获取原文

获取原文并翻译 | 示例

页面导航

摘要
著录项
相似文献
相关主题

摘要

HPC++ is a object-oriented programming environment dedicated to distributed memory parallel computers. It is based on a process model and integrates various parallel programming paradigms. Modularisation, interfaces and dynamic configuration are basic features. Parallel prototypes may be encapsulated in subnets. In the context of an existing commercial CASE tool HPC++ will be used as target language for the translation from graphical design method into code. Within one year, exploitation of HPC++ will be started offering an object-oriented library on top of standard parallel runtime systems.

机译：HPC ++是专用于分布式内存并行计算机的面向对象的编程环境。它基于过程模型，并集成了各种并行编程范例。模块化，接口和动态配置是基本功能。并行原型可以封装在子网中。在现有的商用CASE工具中，HPC ++将用作从图形设计方法到代码的转换的目标语言。在一年之内，将开始利用HPC ++在标准并行运行时系统之上提供一个面向对象的库。

著录项

来源
《High-performance computing and networking》|1995年|542-547|共6页
会议地点 Milan(IT);Milan(IT)
作者
Klaus Wolf; Andrea Holtz; Monika Lang;
展开▼
作者单位

German National Research Center for Computer Science (GMD) Institute for Algorithms and Scientific Computing (SCAI) Schloss Birlinghoven, D-53754 Sankt Augustin, GERMANY;

German National Research Center for Computer Science (GMD) Institute for Algorithms and Scientific Computing (SCAI) Schloss Birlinghoven, D-53754 Sankt Augustin, GERMANY;

German National Research Center for Computer Science (GMD) Institute for Algorithms and Scientific Computing (SCAI) Schloss Birlinghoven, D-53754 Sankt Augustin, GERMANY;

展开▼
会议组织
原文格式 PDF
正文语种 eng
中图分类 TQ4;
关键词

相似文献

外文文献
中文文献
专利

1. NORMAN MATLOFF . Parallel Computing for Data Science: With Examples in R, C++, and CUDA . Boca Raton : CRC Press . NORMAN MATLOFF NORMAN MATLOFF . Parallel Computing for Data Science: With Examples in R, C++, and CUDA Parallel Computing for Data Science: With Examples in R, C++, and CUDA . Boca Raton Boca Raton : CRC Press CRC Press . [J] . Eddelbuettel Dirk Biometrics: Journal of the Biometric Society : An International Society Devoted to the Mathematical and Statistical Aspects of Biology . 2018,第2期

机译：Norman Matloff。数据科学的并行计算：在R，C ++和CUDA中使用示例。 Boca Raton：CRC压力机。 Norman Matloff Norman Matloff。数据科学的并行计算：使用R，C ++和CUDA的示例进行数据科学：R，C ++和CUDA中的示例。 Boca Raton Boca Raton：CRC按CRC压力机。
2. NORMAN MATLOFF . Parallel Computing for Data Science: With Examples in R, C++, and CUDA . Boca Raton : CRC Press . NORMAN MATLOFF NORMAN MATLOFF . Parallel Computing for Data Science: With Examples in R, C++, and CUDA Parallel Computing for Data Science: With Examples in R, C++, and CUDA . Boca Raton Boca Raton : CRC Press CRC Press . [J] . Eddelbuettel Dirk Biometrics: Journal of the Biometric Society : An International Society Devoted to the Mathematical and Statistical Aspects of Biology . 2018,第2期

机译：诺曼马特洛夫。数据科学的并行计算：r，c ++和cuda中的例子。 Boca Raton：CRC压力机。 Norman Matloff Norman Matloff。数据科学并行计算：使用R，C ++和CUDA的示例进行数据科学：在R，C ++和CUDA中使用示例。 Boca Raton Boca Raton：CRC按CRC压力机。
3. ORTiS solver codegen: C++ code generation tools for high performance, FPGA-based, real-time simulation of power electronic systems [J] . Matthew Milton, Andrea Benigni SoftwareX . 2021,第2期

机译：Ortis Solver Codegen：C ++代码生成工具，用于高性能，基于FPGA，电力电子系统的实时仿真
4. IMPROVING THE FUML PERFORMANCE FOR C++ FOLLOWING A MODEL-DRIVEN APPROACH [C] . Francesco Bedini, Alexander Wichmann, Ralph Maschotta, Simulation Multi-Conference . 2018

机译：在模型驱动的方法后提高C ++的富马性能
5. Spacetime C++ Core: Higher Performance Implementation of Global Object Tracker Programming Model [D] . Yu, Xiaochen. 2021

机译：Spacetime C ++核心：全局对象跟踪程序编程模型的更高性能实现
6. HeatmapGenerator: high performance RNAseq and microarray visualization software suite to examine differential gene expression levels using an R and C++ hybrid computational pipeline [O] . Bohdan B Khomtchouk, Derek J Van Booven, Claes Wahlestedt 2014

机译：HeatmapGenerator：高性能RNAseq和微阵列可视化软件套件可使用R和C ++混合计算流水线检查差异基因表达水平
7. Table 2: Performance of DRG, VNS, SA, CS, TS and GA on CCCP instances when compared to updated Best-known solutions*: (a) MATLAB, Intel CORE i7 at 2.4 GHz and 8 GB RAM, (b) AMD ATHLON at 1.6 GHz and 512 MB RAM, (c) C++, Pentium 4 at 3.0 GHz, (d) C++, Pentium 4 at 3.0 GHz, (e) C++, Intel CORE 2 Quad Q9550 CPU at 2.83 GHz and 4 GB RAM, (f) C++, Pentium 4 at 3.0 GHz. [O] . -1

机译：表2：与更新的最佳已知的解决方案*：（a）Matlab，英特尔核心I7相比，DRG，VNS，SA，CS，TS和GA在CCCP实例上的性能，在2.4 GHz和8 GB RAM，（B）AMD Athlon在1.6 GHz和512 MB RAM，（C）C ++，4.0 GHz，（d）C ++，Pentium 4 AT 3.0 GHz，（e）C ++，英特尔核心2 Q9550 CPU，在2.83 GHz和4 GB RAM，（ f）C ++，Pentium 4为3.0 GHz。

相关主题

High Performance C++

摘要

著录项

相似文献

相关主题

期刊订阅