程啟聖_Revolution_R_Enterprise

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RRE (Revolution R Enterprise)
vs. R at PC Cluster
Edward Cheng
2.18.2014
2015/4/9
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PC Cluster
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Environment
• Node01~node36,stathpc: RHEL 5 +
RRE 6.1 (R-2.14.2)
• Node51~node60, himemhpc: RHEL 6 +
RRE 7.0 (R-3.0.2)
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History
 R 起源
 1993, Professor, Ross Ihaka and
Robert Gentleman, University of
Aukland, 紐西蘭
 Reolution Analytics 公司
(www.revolutionanalytics.com)
 2008 by Intel Capital 等創投投資
 董事會成員有:Robert Gentleman 教授
(R founder), Norman H. Nie 顧問 (前
SPSS CEO)
 Revolution R Enterprise (企業版 R)
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R
• R is world’s most widely used
statistics programming language.
• Free and open source software
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R usage
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R package growth
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Why Revolution R
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Performance
R-2.14.2
RRE 6.1
R-3.0.1
RRE 7.0
Matrix Multiply (10000*10000)
751 sec
35 sec
568 sec
20 sec
SVD (10000*10000)
5746 sec
374 sec
4549 sec
256 sec
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Big Data is coming
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Definition
• “Big Data” is data whose scale,
diversity, and complexity require new
architecture, techniques, algorithms,
and analytics to manage it and
extract value and hidden knowledge
from it…
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Bytes
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Big Data
• 2011 年全球數位資料的使用量約為 1.8
ZB (1 ZB = 2 的 70 次方位元組)。依
據 IDC(International Data
Corporation)所做的研究報告預測,到
2020 年的總量將是現在的 44 倍,約為
35.2 ZB。
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Big Data
2006
累計儲存了850 TB的
網頁資料
2009
每週約有二億二千萬張
照片上傳,也就是需要
25 TB的空間儲存
2011
BIG DATA
海嘯來襲
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每分鐘約有48小時
(48GB)的影片上傳
(每天約有70TB)
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eBay
The world’s largest online marketplace
• We have over 50 petabytes of data
• We have over 400 million items for sale
• We process more than 250 million user queries per day
• We have over 112 million active users
• We sold over US$75 billion in merchandize in 2012
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Big Problems
• Capacity
data too big to fit into memory
• Speed
computation may be too slow to be
useful
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Distributed computing
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RevoScaleR
• RevoScaleR Package
RevoScaleR analysis functions such as
rxCube, rxLinMod, rxCovCor, rxLogit,
and rxGlm will provide significant
speed improvements over any
alternatives. These algorithms are all
optimized for handling big data.
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Multi-threaded Processing
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.xdf data format
• The XDF file format, a binary file
format with an interface that
optimizes row and column processing
and analysis.
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