Big Data and High Performance Computing

Wenguang Chen

doi:10.11959/j.issn.2096-0271.2015.01.003

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Big Data and High Performance Computing

Topic:Key technologies of big data | 更新时间：2024-06-03

- Big Data and High Performance Computing
- BIG DATA RESEARCH Vol. 1, Issue 1, Pages: 20-25(2015)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2015.01.003
  CLC： TP311.13
- Online First：2015-05，
  
  Published：06 May 2015
- 稿件说明：
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Wenguang Chen. Big Data and High Performance Computing[J]. BIG DATA RESEARCH, 2015, 1(1): 20-25.
DOI：

Wenguang Chen. Big Data and High Performance Computing[J]. BIG DATA RESEARCH, 2015, 1(1): 20-25. DOI： 10.11959/j.issn.2096-0271.2015.01.003.

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。

Abstract

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.

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Keywords

references

Goklany I M The Improving State of the World: Why We’re Living Longer, Healthier, More Comfortable Lives on a Cleaner Planet . Washington: Cato Institute , 2006

Hey H , Tansley S Tolle K . The Fourth Paradigm: Data-Intensive Scientific Discovery . Washington: Microsoft Research , 2009

National Science Foundation Advisory Committee for Cyber infrastructure Task Force on Grand Challenges Final Report . https://www.nsf.gov/cise/aci/taskforces/TaskForceReport_randChallenges.pdf https://www.nsf.gov/cise/aci/taskforces/TaskForceReport_randChallenges.pdf .

Kyrola A , Blelloch G , Guestrin C . GraphChi: large-scale graph computation on just a PC . Proceedings of the 10th USENIX Symposium on Operating Systems Design and Implementation, Hollywood 2012

Xu W , Huang L , Fox A , et al . Detecting large-scale system problems by mining console logs . Proceedings of the 22nd ACM Symposium on Operating Systems Principle 2009

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Related Institution

National Parallel Computing Engineering Technology Research Center

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