大数据与高性能计算  

Big Data and High Performance Computing

作　　者：陈文光[1] 

机构地区：[1]清华大学计算机科学与技术系,北京100084

出　　处：《大数据》2015年第1期20-27,共8页Big Data Research

摘　　要：大数据和高性能计算都是计算机技术发展的产物。高性能计算主要采用模拟方法,被称作科学发现的第三范式;大数据主要从数据中总结规律,即使在对研究对象缺乏深入理解的情况下也可以发现一定的相关性,被称作科学发现的第四范式。从研究范式、主要应用类型以及计算机软硬件系统的角度对大数据与高性能计算的关系展开阐述。Both big data and high performance computing （HPC） are based on the computer technologies. The main methodology of HPC is simulation, which is called the third paradigm of scientific discovery. Big data explore data for correlations even without much knowledge on the object of study, which is called the fourth paradigm of scientific discovery. Big data and HPC with several aspects were compared, such as the research paradigm, main application domain and underlying hardware/software systems.

关 键 词：大数据 高性能计算 并行与分布式计算 相关性 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]