jan blommaart, ibm netherlands. june 2006

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© 2006 IBM Corporation Jan Blommaart, IBM Netherlands. June 2006 The LOFAR Experience and its relevance to future radio astronomy projects Next Generation Correlators for Radio Astronomy and Geodesy

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The LOFAR Experience and its relevance to future radio astronomy projects Next Generation Correlators for Radio Astronomy and Geodesy . Jan Blommaart, IBM Netherlands. June 2006. IBM BlueGene/L in Groningen for LOFAR. LOFAR network. - PowerPoint PPT Presentation

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Page 1: Jan Blommaart, IBM Netherlands. June 2006

© 2006 IBM Corporation

Jan Blommaart, IBM Netherlands.

June 2006

The LOFAR Experience and its relevance to future

radio astronomy projects Next Generation Correlators for Radio Astronomy and Geodesy

Page 2: Jan Blommaart, IBM Netherlands. June 2006

© 2006 IBM Corporation2

IBM BlueGene/L inGroningen for LOFAR

LOFAR network

Page 3: Jan Blommaart, IBM Netherlands. June 2006

© 2006 IBM Corporation3

ASTRON and IBM have developed a partnership that started with the LOFAR project

We have delivered the BlueGene platform for correlator functions and filters.

We have started a lot of discussions and we have developed ideas on other projects like SKADS, SKA, JIVE…..

Radio astronomy is still relative new to IBM: we need your extreme requirements to push the limits

Page 4: Jan Blommaart, IBM Netherlands. June 2006

© 2006 IBM Corporation4

It all started in May 2002

May 2002, first contacts between ASTRON and IBM 2002/2003, in depth meetings every 2 months, focus on application and requirements September 2003, workshop at IBM Research, discuss BlueGene as a potential solution November 2003, Dutch government agrees on grant for LOFAR (BSIK) February 2004, agreement between ASTRON and IBM (SIGN) April 2005, inauguration of LOFAR BlueGene/L system (STELLA) June 2006, all specs achieved(?), still need final proof from ASTRON/LOFAR test group 2007/2008, LOFAR / BlueGene, EoR and …. ?

2003 2004 20052002 2006

startLast (?) techn.

I/O problem solved

IBM Research Req. Analysis

BSIK

Conclusion: We learned that these projects take time…..(and you already knew)

SIGN

STELLA

Application development and testing

Page 5: Jan Blommaart, IBM Netherlands. June 2006

© 2006 IBM Corporation5

IBM High Performance Computing

IBM logo must not be moved, added to, or altered inany way.

Background shouldnot be modified.

Optional slide number: 10pt Arial Regular, white

Title/subtitle/confidentiality line: 10pt Arial Regular, whiteMaximum length: 1 line

Information separated by vertical strokes,with two spaces on either side

Group name:14pt Arial Regular, white

Maximum length: 1 line

Indications in green = Live content

Indications in white = Edit in master

Indications in blue = Locked elements

Indications in black = Optional elements

Copyright: 10pt ArialRegular, white

Supercomputer Peak SpeedSupercomputer Peak Speed

1940 1950 1960 1970 1980 1990 2000 2010Year Introduced

1E+2

1E+4

1E+6

1E+8

1E+10

1E+12

1E+14

1E+16

Peak

Spe

ed (f

lops

)

Doubling time = 1.5 yr.

ENIAC (vacuum tubes)UNIVAC

IBM 701 IBM 704IBM 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-MP8i860 (MPPs)

ASCI White

Blue Gene / PBlue Gene / L

Blue Pacific

DeltaCM-5 Paragon

NWTASCI Red

ASCI Red

CP-PACS

NEC Earth Simulator

Bipolar to CMOStransition

100 Pflops for low-bit operations? SKA

Lowpowerdesign

Page 6: Jan Blommaart, IBM Netherlands. June 2006

© 2006 IBM Corporation6

1997 1999 2001 2003 2005 2007Year

0.001

0.01

0.1

1

GFL

OPS

/Wat

t

QCDSPColumbia

QCDOCColumbia/IBM

Blue Gene/L

ASCI WhitePower 3

Earth Simulator

ASCI Q

NCSA, Xeon LLNL, Itanium 2

ECMWF, p690Power 4+

NASA, SGI

SX-8

NASA, SGI Cray XT3

Fujitsu Bioserver

IBM E&TS, IBM Research

Supercomputer Power EfficienciesFocus on aggregate performance by using more chips with much less power for each

Focus on single thread performance and peakspeed, not power consumption

Page 7: Jan Blommaart, IBM Netherlands. June 2006

© 2006 IBM Corporation7

There is an energy crisis now!

Page 8: Jan Blommaart, IBM Netherlands. June 2006

© 2006 IBM Corporation8

The overall cost per performance must be an important factor for very large radio astronomy systems

Page 9: Jan Blommaart, IBM Netherlands. June 2006

© 2006 IBM Corporation9

The overall increase of performance depends on many factors, that need to be discussed all

Page 10: Jan Blommaart, IBM Netherlands. June 2006

© 2006 IBM Corporation10

The access to memory is a major constraint, it will get worse!

Page 11: Jan Blommaart, IBM Netherlands. June 2006

© 2006 IBM Corporation11

The access to memory is a major constraint, it will get worse (cont’d)!

Page 12: Jan Blommaart, IBM Netherlands. June 2006

© 2006 IBM Corporation12

Radio Astronomy will need to use parallel processing to the xtreme, Moore’s law alone will not help!.

0,lim NN

Here is why?

So prepare and start now!

Page 13: Jan Blommaart, IBM Netherlands. June 2006

© 2006 IBM Corporation13

So what did we learn:

Focus on requirements first:– Functional (application level)

• Ops rate, Flops rate, External I/O, Internal I/O– Non-functional.

• Power consumption, Power dissipation, Power density, Availability, , Maintenance,Software environment

Then discuss potential platforms/solutions

What might be done even better:– Simulations, cannot start early enough– Do not underestimate the size of the I/O problem…– Test, test, test, test

Page 14: Jan Blommaart, IBM Netherlands. June 2006

© 2006 IBM Corporation14

IBM would like to extend the partnership that started with the LOFAR project….

We have delivered the BlueGene platform for correlator functions and filters.

We have started a lot of discussions and we have developed ideas on other projects like SKADS, SKA, JIVE…..

Radio astronomy is still relative new to IBM: we need your extreme requirements to push the limits

Next generation correlator……?