Running Hot October 2008

33
Ian Foster Computation Institute Argonne National Lab & University of Chicago Research in Paradise

description

I gave this talk at a conference for young scientists in New Zealand, "Running Hot": www.runninghot.org.nz. It was a great meeting. My slides are mostly images, so may not make too much sense. Abstract follows: Impressed with the telephone, Arthur Mee predicted in 1898 that if videoconferencing could be developed, ‘earth will be in truth a paradise.’ Since his time, rapid technological change, in particular in telecommunications, has transformed the scientific playing field in ways that while not entirely paradisical, certainly have profound implications for New Zealand scientists. The Internet has abolished distance, as Mee also predicted–a New Zealand scientist can participate as fully in online discussions as anyone else, and their blog can be every bit as influential. Exponential improvements in networks, computing, sensors, and data storage are also profoundly transforming the practice of science in many disciplines. But those seeking to leverage these advances become painfully familiar with the ‘dirty underbelly’ of exponentials: if you don’t constantly innovate, you can fall behind exponentially fast. Such considerations pose big challenges for the individual scientist and for institutions, for researchers and educators, and for research funders. Some of the old ways of researching and educating need to be preserved, others need to be replaced to take advantage of new methods. But what should we preserve? What should we seek to change?

Transcript of Running Hot October 2008

Page 1: Running Hot October 2008

Ian Foster

Computation Institute

Argonne National Lab & University of Chicago

Research in Paradise

Page 2: Running Hot October 2008

2

Page 3: Running Hot October 2008

3

Earth to be paradise;distance to lose enchantment

“If, as it is said to be not unlikely in the near future, the principle of sight is applied to the telephone as well as that of sound, earth will be in truth a paradise, and distance will lose its enchantment by being abolished altogether.”

— Arthur Mee, 1898

Page 4: Running Hot October 2008

4

Knowledge arises from experience

Page 5: Running Hot October 2008

5

“I can calculate the motion of heavenly bodies, but not the madness of people.”

Isaac Newton, 1687

Page 6: Running Hot October 2008

6

Computing as a profession

Page 7: Running Hot October 2008

7

1940 1950 1960 1970 1980 1990 2000 2010

Year Introduced

1E+2

1E+5

1E+8

1E+11

1E+14

1E+17

Doubling time = 1.5 yr.

ENIAC (vacuum tubes)UNIVAC

IBM 701IBM 704

IBM 7090 (transistors)

IBM Stretch

CDC 6600 (ICs)

CDC 7600

CDC STAR-100 (vectors) CRAY-1

Cyber 205 X-MP2 (parallel vectors)

CRAY-2X-MP4

Y-MP8

i860 (MPPs)

ASCI White, ASCI Q

Petaflop

Blue Gene/L

Blue Pacific

DeltaCM-5 Paragon

NWT

ASCI Red OptionASCI Red

CP-PACS

Earth

VP2600/10SX-3/44

Red Storm

ILLIAC IV

SX-2

SX-4

SX-5

S-810/20

T3D

T3E

multi-Petaflop

Thunder

Peak performance (floating point ops/sec)

Argonne

Page 8: Running Hot October 2008

8

Exponentials are funny things

Obliviousness

Something’shappening

Shock

Page 9: Running Hot October 2008

9Type Ia Supernova: SN 1994D

Page 10: Running Hot October 2008

10Don Lamb et al., FLASH Center, University of Chicago

Page 11: Running Hot October 2008

11Don Lamb et al., FLASH Center, University of Chicago

Page 12: Running Hot October 2008

12Don Lamb et al., FLASH Center, University of Chicago

Page 13: Running Hot October 2008

13Don Lamb et al., FLASH Center, University of Chicago

Page 14: Running Hot October 2008

14Don Lamb et al., FLASH Center, University of Chicago

Page 15: Running Hot October 2008

15

System-level science

National Centerfor Atmospheric Research

Page 16: Running Hot October 2008

16

The data deluge

Page 17: Running Hot October 2008

17

Growth of Genbank

(1982-2005)

Broad Institute

Page 18: Running Hot October 2008

18

More data does not always mean more knowledge

Folker Meyer, Genome Sequencing vs. Moore’s Law: Cyber Challenges for the Next Decade, CTWatch, August 2006.

Page 19: Running Hot October 2008

19

Page 20: Running Hot October 2008

20

Proteomics Genomics Transcriptomics Protein sequence prediction Phenotypic studies Phylogeny Sequence analysis Protein structure prediction Protein-protein interaction Metabolomics Model organism collections Systems biology Health epidemiology Organisms Disease ….

1070 molecular bio databases Nucleic Acids Research Jan 2008

(96 in Jan 2001)

Slide: Carole Goble

Page 21: Running Hot October 2008

21

The dirty underbelly of exponentials

My relativecapability ifI do nothing

Capabilityat constantinvestment

Log

Page 22: Running Hot October 2008

22

The Red Queen’s race

"Well, in our country," said Alice … "you'd generally get to somewhere else — if you run very fast for a long time, as we've been doing.”

"A slow sort of country!" said the Queen. "Now, here, you see, it takes all the running you can do, to keep in the same place. If you want to get somewhere else, you must run at least twice as fast as that!"

Page 23: Running Hot October 2008

23

Kiwi Advanced Research and Education Network

Page 24: Running Hot October 2008

24

An American philosopher speaks on the value of KAREN

“80 percent of success is showing up”

Woody Allen

Page 25: Running Hot October 2008

25

Services for science

We expose data and software as services …

which others discover, decide to use, …

and compose to create new functions ...

which they publish as new services.

Technical …• Modeling• Authoring• Semantics• Discovery

socio-technical challenges• Incentives• Policy, trust• Reproducibility• Life cycle

“Service-Oriented Science”, Science, 2005

and

Page 26: Running Hot October 2008

26

The cancer Biomedical Informatics Grid

Globus

Page 27: Running Hot October 2008

27

As of Sept 18, 2008:

122 participants81 services

62 data19 analytical

Page 28: Running Hot October 2008

28

As of Oct19, 2008:

122 participants105 services

70 data35 analytical

Page 29: Running Hot October 2008

29

Page 30: Running Hot October 2008

Image: Andrey Rzhetsky

Page 31: Running Hot October 2008

31

Page 32: Running Hot October 2008

32

New Ways of Knowing

300 BCE 1700 1950 1990

Empiricism

Data

Theory

Simulation

Multiplied by the power of collaboration … & exponentials

Page 33: Running Hot October 2008

Thank You!

Computation Institutewww.ci.uchicago.edu