High-Performance Modelling and Simulation for Big Data Applications
简介：
长期以来被认为是科学方法的重要支柱，建模和仿真已经从传统的离散数值方法发展到复杂的数据密集型连续分析优化。分辨率，规模和准确性对于预测和分析科学和工程中的自然和复杂系统至关重要。当他们的抽象级别提高以更好地识别手头的领域时，他们的表示对计算和数据资源的要求越来越高。另一方面，高性能计算通常需要有效使用并行和分布式处理单元以及高效的存储，通信和可视化系统，以支持不同科学和技术领域中复杂的数据密集型应用程序
英文简介：
Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations.
Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of the domain at hand, their representation gets increasingly demanding for computational and data resources.
On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains
- 书名
- High-Performance Modelling and Simulation for Big Data Applications
- 译名
- 大数据应用的高性能建模和仿真
- 语言
- 英语
- 年份
- 2023
- 页数
- 364页
- 大小
- 24.98 MB
- 标签
- 大数据
- 下载
High-Performance Modelling and Simulation for Big Data Applications.pdf- 密码
- 65536
最后更新：2025-04-12 23:58:01
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