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BDTC - Beijing, 2013-12-6
BDTC - Beijing, 2013-12-6

Big Data Visualization and
Visual Analysis
- the Challenges and Opportunities

	

⏠ ⏠
BDTC - Beijing, 2013-12-6

Visualization

3
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! 

:

4

…

! 

! 
·
! 
·
BDTC - Beijing, 2013-12-6

! 

(Visualization)
(mental image)
Data

5

(mental model)

Insights

Mental
Model
Image
Visualization
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From Data to Visualization

6
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Visualization != Infographics
! 

7
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Large Volume Visualization
!  Level of Details
!  Out of Core
!  Parallel Visualization

9
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10

Top 10 Challenges in Extreme-Scale Data
Visual Analytics

Pak Chung Wong (PNNL)

Han-Wei Shen (OSU)

Chris Johnson (Utah)

Chaomei Chen (Drexel)

Robert Ross (Argonne)
BDTC - Beijing, 2013-12-6

Top 10 Challenges in ExtremeScale Data Visual Analytics

11

!  In Situ Analysis

!  Perform as much analysis as possible while the data are still in
memory
!  Interaction and User Interfaces

!  Machine-based automated systems vs. Human Cognition
!  Large-Data Visualization

!  Data projection and dimension Reduction, display technology
!  Databases and Storage

!  A cloud-based solution might not meet the needs
!  Algorithms

!  Address both data-size and visual-efficiency issues
BDTC - Beijing, 2013-12-6

Top 10 Challenges in ExtremeScale Data Visual Analytics

12

!  Data Movement/Transport, & Network Infrastructure

!  Efficiently use networking resources and provide convenient
abstractions
!  Uncertainty Quantification

!  Cope with incomplete data
!  Parallelism
!  Domain and Development Libraries, Frameworks, and Tools
!  Affordable resource libraries, frameworks, and tools

!  Social, Community, and Government Engagements
BDTC - Beijing, 2013-12-6

Challenges in Big Data
Visualization/Visual Analytics - 1
!  Integrating heterogeneous Data from different resources and
scales

13
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Beijing Taxi GPS data

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Data
!  Beijing taxi GPS data
!  Size: 34.5GB
!  Taxi number: 28,519
!  Sampling point number: 379,107,927
!  Time range: 2009/03/02~25 (24 days, but 03/18 data is missing)
!  Sampling rate: 30 seconds per point (but 60% data missing)

!  Beijing road network (from OpenStreetMap)
!  Size: 40.9 MB
!  169,171 nodes and 35,422 ways

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Traffic Jam Detection
Defining&propaga,on&based&on&
spa,al/temporal&rela,onship:&
Raw&taxi&
GPS&Data

Raw&Road&
Network

Cleaned&
GPS&Data

Processed&&
Road&
Network

e0
a

GPS&Trajectories&Matched&
to&the&Road&Network

Traffic&Jam&Event&Data

b

e0&happens&before&e1,&and&
on&a&dWay&following&e1

……

e0

…

……

…

9:10&am

Road&Speed&Data
Traffic&Jam&Detec,on

e1

50&km/h

9:10&am

55&km/h

9:20&am

45&km/h

9:20&am

10&km/h

9:30&am

12&km/h

9:30&am

12&km/h

9:40&am

15&km/h

9:40&am

45&km/h

……

…

……

…

e1
BDTC - Beijing, 2013-12-6

19

Visual Interface
Road&Segment&Level&Explora,on&and&Analysis

Road&of&
Interest

One&
Propaga,on&
Graph

Road&Speed&Data

Propaga,on&
Graphs&of&
Interest

Propaga,on&Graph&Level&
Explora,on

Propaga,on&Graph&List

Spa,al&Density

Time&and&Size&Distribu,on

Spa,al&Filter

Temporal&&&Size&Filter

Topological&
Clustering&&

Traffic&Jam&Event&Data
Traffic&Jam&
Propaga,on&Graphs
Dynamic&Query

Topological&
Filter
BDTC - Beijing, 2013-12-6

Preprocessing: Map
Matching
Raw taxi
GPS
Data

Raw Road
Network

Cleane
d GPS
Data

Processed
Road
Network

Map Matching
GPS Trajectories
Matched
to the Road Network

20
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Visual Interface: Single Road
Level

22

!  Pixel based visualization
Time of a day: 144 columns (each for a 10min)

Days: 24 rows
(each for one day)

Each cell represents one time bin
Color encode speed
BDTC - Beijing, 2013-12-6

Case Study: Road Level
Exploration and Analysis
!  Different road congestion patterns

23
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Case Study: Road Level
Exploration and Analysis

24
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25

Propagation Graph Analysis
!  Spatial Temporal information of one propagation

Large delay

Spatial path

Temporal delay
BDTC - Beijing, 2013-12-6

Propagation Pattern
Exploration
!  Propagation graphs for one region in the morning of different
days

26
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! 

27
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Weibo ThemeMap

36
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Weibo ThemeMap
! 

37
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Xiamen Traffic

38
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! 

39
BDTC - Beijing, 2013-12-6

Challenges in Big Data
Visualization/Visual Analytics - 2
!  Integrating heterogeneous Data from different resources and
scales
!  Scalability in Data/Task complexity
!  Data inherent properties impose more computational challenges
methods for visualization and visual analysis on big data

40
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Pollution From China

41
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Pollution from USA

42
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43

Multivariate to Multi-Run
Visual Analysis
QVAPOR

QVAPOR
QCLOUD
Pressure
Speed

Run 1

QCLOUD
QVAPOR
QCLOUD
Pressure
Speed

QVAPOR

Run 2

Pressure

Speed

(Multivariate)

QVAPOR
QCLOUD
Pressure
Speed

(Ensemble Runs)

Run 3
BDTC - Beijing, 2013-12-6

Eulerian and Lagriangian
Specifications
!  Eulerian:

!  Lagriangian:

!  Relationships between two specifications (flow map):

44
BDTC - Beijing, 2013-12-6

Eulerian-based Attribute
Space Projection
! Samples on data grid !
Samples in attribute space !
Eulerian-based Attribute Space Projection
(EASP)

45
BDTC - Beijing, 2013-12-6

Lagrangian-based Attribute
Space Projection
!  Pathlines on data grid !
Pathlines in attribute space !
Lagrangian-based Attribute Space Projection (LASP)
!  Both multivariate scalar fields and vector field are considered

46
BDTC - Beijing, 2013-12-6

Case: GEOS-5 Simulation

47
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48

Couple Ensemble Flow Line Advection
and Analysis (eFLAA)-Concept

!  Ensemble data (large)
!  Field line data (much larger than ensemble data)
!  Variation field (small)
!  Filtered lines (even smaller)

[Guo, Yuan, Huang and Zhu TVCG 2013 (SCIVis ‘13)]
BDTC - Beijing, 2013-12-6

Benchmark Platform: NCSSJN
!  ShenWei-based supercomputer
!  SW1600 processor, 1.0~1.1GHz
!  1GB memory for each core
!  40Gbps high-speed interconnection

!  x86-based supercomputer
!  Intel Xeon E5675 hexa-core processor, 3.06GHz
!  4GB memory for each core
!  QDR Infiniband interconnection

!  Shared global filesystem: SWGFS

49
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50

Scalability
!  Strong scalability test in National Super Computer Center in Jinan
(ShenWei and x86 architectures)
BDTC - Beijing, 2013-12-6

GEOS-5 Simulation

51
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GEOS-5 Simulation

52
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GEOS-5 Simulation: CO2based Metric

53

! The metric: the differences of locations / CO2
concentration along the pathline
! Findings
!  The variation of the wind field is high in the north hemisphere
!  However, The CO2 difference is higher in south hemisphere and
some places in the north
!  CO2 concentration is not sensitive to wind in above regions
BDTC - Beijing, 2013-12-6

Challenges in Big Data
Visualization/Visual Analytics - 3
!  Integrating heterogeneous Data from different resources and
scales
!  Scalability in Data/Task complexity
!  Data inherent properties impose more computational challenges
methods for visualization and visual analysis on big data

!  Limited access in Interaction for Large Data

54
BDTC - Beijing, 2013-12-6

Query

55
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Dynamic Query
! 

56
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Real-time Visual Querying of
Big Data
! 

imMens

57
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Real-time Visual Querying of
Big Data
! 
! 

58
BDTC - Beijing, 2013-12-6

Nanocubes for Real-Time Exploration
of Spatiotemporal Datasets
! 

59
BDTC - Beijing, 2013-12-6

Challenges in Big Data
Visualization/Visual Analytics - 4
!  Integrating heterogeneous Data from different resources and
scales
!  Scalability in Data/Task complexity
!  Data inherent properties impose more computational challenges
methods for visualization and visual analysis on big data

!  Limited access in Interaction for Large Data
!  Scalability in User
!  Collaborative Visualization and Analysis on large data
!  Can scientist create novel visualization without programming

60
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Double Gulf
Visualization
Designer

Visualization
User

Representation

Evaluation

Data

Visualization

Conceptual
Model
Execution

Manipulation
BDTC - Beijing, 2013-12-6

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Double Gulf
Visualization
Designer

Visualization
User

Representation

Evaluation

Data

Visualization

Conceptual
Model
Execution

Manipulation
BDTC - Beijing, 2013-12-6

63

From Data to User
Visualization
User

Evaluation
Execution

Visualization
Designer

Representation
Manipulation
BDTC - Beijing, 2013-12-6

64

Scalability In Users
Visualization
Designer

Visualization
User

Representation

Evaluation

Data

Visualization

Conceptual
Model
Execution

Manipulation
BDTC - Beijing, 2013-12-6

Scalability In Users –
Collaborative Visualization

65
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ThemeMap – Crowd Sourcing

66
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Large Security Data Vis

[Chen et al. IEEE VAST 2013 Situation Awareness Award]

67
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Large Security Data Vis
! 

68
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Large Security Data Vis

69
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Crowd Sourcing based Vis.
! 

70
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Scalability In Users –
User - Visualization Expert

71
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Visualization Assembly Line

http://vis.pku.edu.cn/mddv/val/

72
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Visualization Assembly Line

73
BDTC - Beijing, 2013-12-6

Challenges in Big Data
Visualization/Visual Analytics - 5
!  Integrating heterogeneous Data from different resources and
scales
!  Scalability in Data/Task complexity
!  Limited access in Interaction for Large Data
!  Scalability in User
!  System Development
!  Domain and Development Libraries, Frameworks, and Tools
!  Social, Community, and Government Engagements

74
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SCIVIS Visualization Systems
!  VisIt - LLNL
https://wci.llnl.gov/codes/visit
!  ParaView- Kitware/SNL/LANL
http://www.paraview.org
!  IceT (Image Composition Engine for Tiles) - Sandia
http://icet.sandia.gov
!  Daxtoolkit - Data Analysis at Extreme
http://www.daxtoolkit.org
!  PISTON - Portable Data-Parallel Visualization and Analysis Library LANL
http://viz.lanl.gov/projects/PISTON.html
BDTC - Beijing, 2013-12-6

VisIt
!  Production end-user tool supporting
scientific and engineering
applications.
!  Parallel post-processing that scales
from desktops to massive HPC
clusters.

76
BDTC - Beijing, 2013-12-6

77

Development of VisIt
!  The VisIt project started in 2000 to support LLNL’s large scale ASC
physics codes.
!  Supported by multiple organizations: LLNL, LBNL, ORNL, UC Davis,
Univ. of Utah, …
!  Over 75 person years effort.
!  1.5+ million lines of code.

Based on SC’11 Tutorial
BDTC - Beijing, 2013-12-6

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79

VTK

W.J. Schroeder, K. Martin, and W. Lorensen, The
Visualization Toolkit: An Object Oriented Approach to
Computer Graphics, Third Edition, Kitware, Inc.,
ISBN-1-930934-12-2 (2004).
S. E. Rogers, D. Kwak, and U. K. Kaul, A numerical study of
three-dimensional incompressible flow around multiple
post. In Proceedings of AIAA Aerospace Sciences
Conference. AIAA Paper 86-0353. Reno, Nevada, 1986.
BDTC - Beijing, 2013-12-6

ParaView
!  2000 Los Alamos National Laboratories and Kitware Inc.
!  2005 Sandia National Laboratories and Kitware Inc.
!  Used by academic, government, and commercial institutions
worldwide.
!  Downloaded ~100K times per year.

80
BDTC - Beijing, 2013-12-6

UV-CDAT Project

81
BDTC - Beijing, 2013-12-6

IN-SPIRE

82
BDTC - Beijing, 2013-12-6

Starlight Information
Visualization System

83
BDTC - Beijing, 2013-12-6

Build a successful vis system
!  System Design
!  Domain User – Visualization Scientist “Co-design”
!  Stable Development Team
!  Funding Mechanism

84
BDTC - Beijing, 2013-12-6

Build a successful vis system
!  System Design
!  Domain User – Visualization Scientist “Co-design”
!  Stable Development Team
!  Funding Mechanism

85
BDTC - Beijing, 2013-12-6

86
BDTC - Beijing, 2013-12-6

Challenges in Big Data
Visualization/Visual Analytics - 6
!  Integrating heterogeneous Data from different resources and
scales
!  Scalability in Data/Task complexity
!  Limited access in Interaction for Large Data
!  Scalability in User
!  System Development
!  Visualization Experts

87
BDTC - Beijing, 2013-12-6

VIS 2013 in Atlanta

88
BDTC - Beijing, 2013-12-6

89

Social, Community, and
Government Engagements
!  2013

IEEE VIS

! 
! 

533
87

! 
! 

31
24

! 

17

895
! 

! 

! 
! 
! 
! 
! 
! 
! 

! 

! 

! 

! 
! 
! 
! 
! 
! 
! 
BDTC - Beijing, 2013-12-6

90

Social, Community, and
Government Engagements
!  Universities
! 
! 
! 
! 
! 
! 
! 
! 

University of Tennessee in Knoxville
Ohio State University
SCI Institute, University of Utah
University of California, Davis
University of California, San Diego
University of Nebraska-Lincoln
Michigan Technological University
Drexel University

!  Supercomputer centers
!  San Diego Supercomputer Center (SDSC)
!  Texas Advanced Computing Center
(TACC)
!  National Center for Supercomputing
Applications at the University of Illinois
(NCSA)

!  DoE Labs
!  Argonne National Laboratory (ANL)
!  Lawrence Berkeley National Laboratory
(LBNL)
!  Lawrence Livermore National Laboratory
(LLNL)
!  Los Alamos National Laboratory (LANL)
!  Pacific Northwest National Laboratory
(PNNL)
!  Oak Ridge National Laboratory (ORNL)
!  Sandia National Laboratories (SNL)
!  National Renewable Energy Laboratory
(NREL)

!  Companies
!  Kitware
BDTC - Beijing, 2013-12-6

91

Good News
!  More and more universities started visualization research
program
!  Many Companies are aware of the importance of visualization
!  Still, lack of national infrastructure
BDTC - Beijing, 2013-12-6

Vis Workshop 2013 @ PKU
!  2013.7.12-13

92
BDTC - Beijing, 2013-12-6

MOOC Course on
Visualization at PKU
!  Start Spring 2014
!  Cover major topics in visualization

93
BDTC - Beijing, 2013-12-6

Acknowledgement
!  Students
!  Funds
! 
! 
! 
! 

NSFC
863
PKU
Beijing NSF

!  Collaborators
! 
! 
! 
! 
! 

Jian Huang University of Tennessee
http://vis.pku.edu.cn/wiki
Zhu Xiaoming, SDSCC
Xiaoru.yuan@pku.edu.cn
Yongxian Zhang, China Earthquake Network Center
Xiaoguang Ma, CAS IAP
More …

94

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袁晓如:大数据时代可视化和可视分析的机遇与挑战

  • 1. BDTC - Beijing, 2013-12-6
  • 2. BDTC - Beijing, 2013-12-6 Big Data Visualization and Visual Analysis - the Challenges and Opportunities ⏠ ⏠
  • 3. BDTC - Beijing, 2013-12-6 Visualization 3
  • 4. BDTC - Beijing, 2013-12-6 !  : 4 … !  !  · !  ·
  • 5. BDTC - Beijing, 2013-12-6 !  (Visualization) (mental image) Data 5 (mental model) Insights Mental Model Image Visualization
  • 6. BDTC - Beijing, 2013-12-6 From Data to Visualization 6
  • 7. BDTC - Beijing, 2013-12-6 Visualization != Infographics !  7
  • 8. BDTC - Beijing, 2013-12-6 8
  • 9. BDTC - Beijing, 2013-12-6 Large Volume Visualization !  Level of Details !  Out of Core !  Parallel Visualization 9
  • 10. BDTC - Beijing, 2013-12-6 10 Top 10 Challenges in Extreme-Scale Data Visual Analytics Pak Chung Wong (PNNL) Han-Wei Shen (OSU) Chris Johnson (Utah) Chaomei Chen (Drexel) Robert Ross (Argonne)
  • 11. BDTC - Beijing, 2013-12-6 Top 10 Challenges in ExtremeScale Data Visual Analytics 11 !  In Situ Analysis !  Perform as much analysis as possible while the data are still in memory !  Interaction and User Interfaces !  Machine-based automated systems vs. Human Cognition !  Large-Data Visualization !  Data projection and dimension Reduction, display technology !  Databases and Storage !  A cloud-based solution might not meet the needs !  Algorithms !  Address both data-size and visual-efficiency issues
  • 12. BDTC - Beijing, 2013-12-6 Top 10 Challenges in ExtremeScale Data Visual Analytics 12 !  Data Movement/Transport, & Network Infrastructure !  Efficiently use networking resources and provide convenient abstractions !  Uncertainty Quantification !  Cope with incomplete data !  Parallelism !  Domain and Development Libraries, Frameworks, and Tools !  Affordable resource libraries, frameworks, and tools !  Social, Community, and Government Engagements
  • 13. BDTC - Beijing, 2013-12-6 Challenges in Big Data Visualization/Visual Analytics - 1 !  Integrating heterogeneous Data from different resources and scales 13
  • 14. BDTC - Beijing, 2013-12-6 Beijing Taxi GPS data 14
  • 15. BDTC - Beijing, 2013-12-6 Data !  Beijing taxi GPS data !  Size: 34.5GB !  Taxi number: 28,519 !  Sampling point number: 379,107,927 !  Time range: 2009/03/02~25 (24 days, but 03/18 data is missing) !  Sampling rate: 30 seconds per point (but 60% data missing) !  Beijing road network (from OpenStreetMap) !  Size: 40.9 MB !  169,171 nodes and 35,422 ways 15
  • 16. BDTC - Beijing, 2013-12-6 16
  • 17. BDTC - Beijing, 2013-12-6 17
  • 18. BDTC - Beijing, 2013-12-6 18 Traffic Jam Detection Defining&propaga,on&based&on& spa,al/temporal&rela,onship:& Raw&taxi& GPS&Data Raw&Road& Network Cleaned& GPS&Data Processed&& Road& Network e0 a GPS&Trajectories&Matched& to&the&Road&Network Traffic&Jam&Event&Data b e0&happens&before&e1,&and& on&a&dWay&following&e1 …… e0 … …… … 9:10&am Road&Speed&Data Traffic&Jam&Detec,on e1 50&km/h 9:10&am 55&km/h 9:20&am 45&km/h 9:20&am 10&km/h 9:30&am 12&km/h 9:30&am 12&km/h 9:40&am 15&km/h 9:40&am 45&km/h …… … …… … e1
  • 19. BDTC - Beijing, 2013-12-6 19 Visual Interface Road&Segment&Level&Explora,on&and&Analysis Road&of& Interest One& Propaga,on& Graph Road&Speed&Data Propaga,on& Graphs&of& Interest Propaga,on&Graph&Level& Explora,on Propaga,on&Graph&List Spa,al&Density Time&and&Size&Distribu,on Spa,al&Filter Temporal&&&Size&Filter Topological& Clustering&& Traffic&Jam&Event&Data Traffic&Jam& Propaga,on&Graphs Dynamic&Query Topological& Filter
  • 20. BDTC - Beijing, 2013-12-6 Preprocessing: Map Matching Raw taxi GPS Data Raw Road Network Cleane d GPS Data Processed Road Network Map Matching GPS Trajectories Matched to the Road Network 20
  • 21. BDTC - Beijing, 2013-12-6 21
  • 22. BDTC - Beijing, 2013-12-6 Visual Interface: Single Road Level 22 !  Pixel based visualization Time of a day: 144 columns (each for a 10min) Days: 24 rows (each for one day) Each cell represents one time bin Color encode speed
  • 23. BDTC - Beijing, 2013-12-6 Case Study: Road Level Exploration and Analysis !  Different road congestion patterns 23
  • 24. BDTC - Beijing, 2013-12-6 Case Study: Road Level Exploration and Analysis 24
  • 25. BDTC - Beijing, 2013-12-6 25 Propagation Graph Analysis !  Spatial Temporal information of one propagation Large delay Spatial path Temporal delay
  • 26. BDTC - Beijing, 2013-12-6 Propagation Pattern Exploration !  Propagation graphs for one region in the morning of different days 26
  • 27. BDTC - Beijing, 2013-12-6 !  27
  • 28. BDTC - Beijing, 2013-12-6 28
  • 29. BDTC - Beijing, 2013-12-6 29
  • 30. BDTC - Beijing, 2013-12-6 30
  • 31. BDTC - Beijing, 2013-12-6 31
  • 32. BDTC - Beijing, 2013-12-6 32
  • 33. BDTC - Beijing, 2013-12-6 33
  • 34. BDTC - Beijing, 2013-12-6 34
  • 35. BDTC - Beijing, 2013-12-6 35
  • 36. BDTC - Beijing, 2013-12-6 Weibo ThemeMap 36
  • 37. BDTC - Beijing, 2013-12-6 Weibo ThemeMap !  37
  • 38. BDTC - Beijing, 2013-12-6 Xiamen Traffic 38
  • 39. BDTC - Beijing, 2013-12-6 !  39
  • 40. BDTC - Beijing, 2013-12-6 Challenges in Big Data Visualization/Visual Analytics - 2 !  Integrating heterogeneous Data from different resources and scales !  Scalability in Data/Task complexity !  Data inherent properties impose more computational challenges methods for visualization and visual analysis on big data 40
  • 41. BDTC - Beijing, 2013-12-6 Pollution From China 41
  • 42. BDTC - Beijing, 2013-12-6 Pollution from USA 42
  • 43. BDTC - Beijing, 2013-12-6 43 Multivariate to Multi-Run Visual Analysis QVAPOR QVAPOR QCLOUD Pressure Speed Run 1 QCLOUD QVAPOR QCLOUD Pressure Speed QVAPOR Run 2 Pressure Speed (Multivariate) QVAPOR QCLOUD Pressure Speed (Ensemble Runs) Run 3
  • 44. BDTC - Beijing, 2013-12-6 Eulerian and Lagriangian Specifications !  Eulerian: !  Lagriangian: !  Relationships between two specifications (flow map): 44
  • 45. BDTC - Beijing, 2013-12-6 Eulerian-based Attribute Space Projection ! Samples on data grid ! Samples in attribute space ! Eulerian-based Attribute Space Projection (EASP) 45
  • 46. BDTC - Beijing, 2013-12-6 Lagrangian-based Attribute Space Projection !  Pathlines on data grid ! Pathlines in attribute space ! Lagrangian-based Attribute Space Projection (LASP) !  Both multivariate scalar fields and vector field are considered 46
  • 47. BDTC - Beijing, 2013-12-6 Case: GEOS-5 Simulation 47
  • 48. BDTC - Beijing, 2013-12-6 48 Couple Ensemble Flow Line Advection and Analysis (eFLAA)-Concept !  Ensemble data (large) !  Field line data (much larger than ensemble data) !  Variation field (small) !  Filtered lines (even smaller) [Guo, Yuan, Huang and Zhu TVCG 2013 (SCIVis ‘13)]
  • 49. BDTC - Beijing, 2013-12-6 Benchmark Platform: NCSSJN !  ShenWei-based supercomputer !  SW1600 processor, 1.0~1.1GHz !  1GB memory for each core !  40Gbps high-speed interconnection !  x86-based supercomputer !  Intel Xeon E5675 hexa-core processor, 3.06GHz !  4GB memory for each core !  QDR Infiniband interconnection !  Shared global filesystem: SWGFS 49
  • 50. BDTC - Beijing, 2013-12-6 50 Scalability !  Strong scalability test in National Super Computer Center in Jinan (ShenWei and x86 architectures)
  • 51. BDTC - Beijing, 2013-12-6 GEOS-5 Simulation 51
  • 52. BDTC - Beijing, 2013-12-6 GEOS-5 Simulation 52
  • 53. BDTC - Beijing, 2013-12-6 GEOS-5 Simulation: CO2based Metric 53 ! The metric: the differences of locations / CO2 concentration along the pathline ! Findings !  The variation of the wind field is high in the north hemisphere !  However, The CO2 difference is higher in south hemisphere and some places in the north !  CO2 concentration is not sensitive to wind in above regions
  • 54. BDTC - Beijing, 2013-12-6 Challenges in Big Data Visualization/Visual Analytics - 3 !  Integrating heterogeneous Data from different resources and scales !  Scalability in Data/Task complexity !  Data inherent properties impose more computational challenges methods for visualization and visual analysis on big data !  Limited access in Interaction for Large Data 54
  • 55. BDTC - Beijing, 2013-12-6 Query 55
  • 56. BDTC - Beijing, 2013-12-6 Dynamic Query !  56
  • 57. BDTC - Beijing, 2013-12-6 Real-time Visual Querying of Big Data !  imMens 57
  • 58. BDTC - Beijing, 2013-12-6 Real-time Visual Querying of Big Data !  !  58
  • 59. BDTC - Beijing, 2013-12-6 Nanocubes for Real-Time Exploration of Spatiotemporal Datasets !  59
  • 60. BDTC - Beijing, 2013-12-6 Challenges in Big Data Visualization/Visual Analytics - 4 !  Integrating heterogeneous Data from different resources and scales !  Scalability in Data/Task complexity !  Data inherent properties impose more computational challenges methods for visualization and visual analysis on big data !  Limited access in Interaction for Large Data !  Scalability in User !  Collaborative Visualization and Analysis on large data !  Can scientist create novel visualization without programming 60
  • 61. BDTC - Beijing, 2013-12-6 61 Double Gulf Visualization Designer Visualization User Representation Evaluation Data Visualization Conceptual Model Execution Manipulation
  • 62. BDTC - Beijing, 2013-12-6 62 Double Gulf Visualization Designer Visualization User Representation Evaluation Data Visualization Conceptual Model Execution Manipulation
  • 63. BDTC - Beijing, 2013-12-6 63 From Data to User Visualization User Evaluation Execution Visualization Designer Representation Manipulation
  • 64. BDTC - Beijing, 2013-12-6 64 Scalability In Users Visualization Designer Visualization User Representation Evaluation Data Visualization Conceptual Model Execution Manipulation
  • 65. BDTC - Beijing, 2013-12-6 Scalability In Users – Collaborative Visualization 65
  • 66. BDTC - Beijing, 2013-12-6 ThemeMap – Crowd Sourcing 66
  • 67. BDTC - Beijing, 2013-12-6 Large Security Data Vis [Chen et al. IEEE VAST 2013 Situation Awareness Award] 67
  • 68. BDTC - Beijing, 2013-12-6 Large Security Data Vis !  68
  • 69. BDTC - Beijing, 2013-12-6 Large Security Data Vis 69
  • 70. BDTC - Beijing, 2013-12-6 Crowd Sourcing based Vis. !  70
  • 71. BDTC - Beijing, 2013-12-6 Scalability In Users – User - Visualization Expert 71
  • 72. BDTC - Beijing, 2013-12-6 Visualization Assembly Line http://vis.pku.edu.cn/mddv/val/ 72
  • 73. BDTC - Beijing, 2013-12-6 Visualization Assembly Line 73
  • 74. BDTC - Beijing, 2013-12-6 Challenges in Big Data Visualization/Visual Analytics - 5 !  Integrating heterogeneous Data from different resources and scales !  Scalability in Data/Task complexity !  Limited access in Interaction for Large Data !  Scalability in User !  System Development !  Domain and Development Libraries, Frameworks, and Tools !  Social, Community, and Government Engagements 74
  • 75. BDTC - Beijing, 2013-12-6 75 SCIVIS Visualization Systems !  VisIt - LLNL https://wci.llnl.gov/codes/visit !  ParaView- Kitware/SNL/LANL http://www.paraview.org !  IceT (Image Composition Engine for Tiles) - Sandia http://icet.sandia.gov !  Daxtoolkit - Data Analysis at Extreme http://www.daxtoolkit.org !  PISTON - Portable Data-Parallel Visualization and Analysis Library LANL http://viz.lanl.gov/projects/PISTON.html
  • 76. BDTC - Beijing, 2013-12-6 VisIt !  Production end-user tool supporting scientific and engineering applications. !  Parallel post-processing that scales from desktops to massive HPC clusters. 76
  • 77. BDTC - Beijing, 2013-12-6 77 Development of VisIt !  The VisIt project started in 2000 to support LLNL’s large scale ASC physics codes. !  Supported by multiple organizations: LLNL, LBNL, ORNL, UC Davis, Univ. of Utah, … !  Over 75 person years effort. !  1.5+ million lines of code. Based on SC’11 Tutorial
  • 78. BDTC - Beijing, 2013-12-6 78
  • 79. BDTC - Beijing, 2013-12-6 79 VTK W.J. Schroeder, K. Martin, and W. Lorensen, The Visualization Toolkit: An Object Oriented Approach to Computer Graphics, Third Edition, Kitware, Inc., ISBN-1-930934-12-2 (2004). S. E. Rogers, D. Kwak, and U. K. Kaul, A numerical study of three-dimensional incompressible flow around multiple post. In Proceedings of AIAA Aerospace Sciences Conference. AIAA Paper 86-0353. Reno, Nevada, 1986.
  • 80. BDTC - Beijing, 2013-12-6 ParaView !  2000 Los Alamos National Laboratories and Kitware Inc. !  2005 Sandia National Laboratories and Kitware Inc. !  Used by academic, government, and commercial institutions worldwide. !  Downloaded ~100K times per year. 80
  • 81. BDTC - Beijing, 2013-12-6 UV-CDAT Project 81
  • 82. BDTC - Beijing, 2013-12-6 IN-SPIRE 82
  • 83. BDTC - Beijing, 2013-12-6 Starlight Information Visualization System 83
  • 84. BDTC - Beijing, 2013-12-6 Build a successful vis system !  System Design !  Domain User – Visualization Scientist “Co-design” !  Stable Development Team !  Funding Mechanism 84
  • 85. BDTC - Beijing, 2013-12-6 Build a successful vis system !  System Design !  Domain User – Visualization Scientist “Co-design” !  Stable Development Team !  Funding Mechanism 85
  • 86. BDTC - Beijing, 2013-12-6 86
  • 87. BDTC - Beijing, 2013-12-6 Challenges in Big Data Visualization/Visual Analytics - 6 !  Integrating heterogeneous Data from different resources and scales !  Scalability in Data/Task complexity !  Limited access in Interaction for Large Data !  Scalability in User !  System Development !  Visualization Experts 87
  • 88. BDTC - Beijing, 2013-12-6 VIS 2013 in Atlanta 88
  • 89. BDTC - Beijing, 2013-12-6 89 Social, Community, and Government Engagements !  2013 IEEE VIS !  !  533 87 !  !  31 24 !  17 895 !  !  !  !  !  !  !  !  !  !  !  !  !  !  !  !  !  !  ! 
  • 90. BDTC - Beijing, 2013-12-6 90 Social, Community, and Government Engagements !  Universities !  !  !  !  !  !  !  !  University of Tennessee in Knoxville Ohio State University SCI Institute, University of Utah University of California, Davis University of California, San Diego University of Nebraska-Lincoln Michigan Technological University Drexel University !  Supercomputer centers !  San Diego Supercomputer Center (SDSC) !  Texas Advanced Computing Center (TACC) !  National Center for Supercomputing Applications at the University of Illinois (NCSA) !  DoE Labs !  Argonne National Laboratory (ANL) !  Lawrence Berkeley National Laboratory (LBNL) !  Lawrence Livermore National Laboratory (LLNL) !  Los Alamos National Laboratory (LANL) !  Pacific Northwest National Laboratory (PNNL) !  Oak Ridge National Laboratory (ORNL) !  Sandia National Laboratories (SNL) !  National Renewable Energy Laboratory (NREL) !  Companies !  Kitware
  • 91. BDTC - Beijing, 2013-12-6 91 Good News !  More and more universities started visualization research program !  Many Companies are aware of the importance of visualization !  Still, lack of national infrastructure
  • 92. BDTC - Beijing, 2013-12-6 Vis Workshop 2013 @ PKU !  2013.7.12-13 92
  • 93. BDTC - Beijing, 2013-12-6 MOOC Course on Visualization at PKU !  Start Spring 2014 !  Cover major topics in visualization 93
  • 94. BDTC - Beijing, 2013-12-6 Acknowledgement !  Students !  Funds !  !  !  !  NSFC 863 PKU Beijing NSF !  Collaborators !  !  !  !  !  Jian Huang University of Tennessee http://vis.pku.edu.cn/wiki Zhu Xiaoming, SDSCC Xiaoru.yuan@pku.edu.cn Yongxian Zhang, China Earthquake Network Center Xiaoguang Ma, CAS IAP More … 94