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The IBM/ASTRON DOME 64-bit μServer 
Demonstrator: Findings, Status and Outlook 
Ronald P. Luijten – Data Motion Architect 
lui@zurich.ibm.com 
IBM Research - Zurich 
6 June 2014 
DISCLAIMER: This presentation is entirely Ronald’s view and not necessarily that of IBM.
Definition 
μServer: 
The integration of an entire server node motherboard* into a 
single microchip except DRAM, Nor-boot flash and power 
conversion logic. 
•3 
305mm 
245mm 
133mmx55mm 
* no graphics 
This does NOT imply low performance!
© 2012 IBM Corporation 
Up to 2 Million+ Antenna’s 
What does this mean? 
•4 
SKA: Largest Radio-astronomy antenna 
!Big data on Steroids
~ 10 Pb/s 
86’400 sec/day 
Central Signal Proc Science Data Proc 
10..14 ExaByte/day 
? 
~ 1 PB/Day. 
Prelim. Spec. SKA, R.T. Schilizzi et al. 2007 / Chr. Broekema 
? 
•5
©© 22001142 IIBBMM CCoorrppoorraattioionn 
~ 10 Pb/s 
86’400 sec/day 
10..14 ExaByte/day 
CSP SDP 
? 
~ 1 PB/Day. 
330 disks/day 
120’000 disks/yr ? 
Top-500 Supercomputing(11/2013)…. 0.3Watt/Gflop/s 
!Today’s industry focus is 1 Eflop @ 20MW. (2018) 
"( 0.02 Gflop/s) 
"Most recent data from SKA: 
"CSP….max. power 7.5MW 
"SDP….max. power 1 MW 
"Latest need for SKA – 4 Exaflop (SKA1 - Mid) 
" 1.2GW…80MW 
Too easy (for us) 
Too hard 
Moore’s law 
Factor 80-1200 
•6 
!multiple breakthroughs needed
DOME Project: 5 
Years, 33M Euro 
•User 
Platform 
•© 2012 •© 2013 IBIBMM C Coorrppoorraatitoionn 
•Algorithms & Machines 
Ronald P. Luijten – HPC User Forum April 2014 •7 
•IBM at CeBIT 2013 – Rethink your business 
•7 
•System Analysis 
•Data & Streaming 
•Sustainable 
(Green) Computing •Nanophotonics 
•Computing •Transport •Storage 
-Nanophotonics 
-Real Time 
Communications 
-Compressive 
Sampling 
-Microservers 
-Accelerators 
-Access Patterns 
-Student 
projects 
-Events 
-Research 
Collaboration 
IBM / ASTRON DOME project 
Technology roadmap development
IBM DOME μServer Motivation & Objectives 
• Create the worlds highest density 64 bit μ-server drawer 
• Useful for both SKA radio-astronomy and IBM future business 
– Platform for Business Analytics appliance pre-product research 
– “Datacenter in-a-box” 
• Very high energy efficiency / very low cost (radioastronomers…) 
• Use commodity components only, HW + SW standards 
• Leverage ‘free computing’ paradigm 
• Enhance with ‘Value Add’: packaging, system integration, … 
• Density and speed of light 
• Most efficient cooling using IBM technology (ref: SuperMUC TOP500 machine) 
• Must be true 64 bit to enable business applications 
• Must run server class OS (SLES11 or RHEL6, or equivalent) 
– Precluded ARM (64-bit Silicon was not available) 
– PPC64 is available in SoC from FSL since 2011 
– (I am poor – no $$$ for my own SoC…) 
• This is a research project – capability demonstrator only 
9
•10 
Compute node board form factor 
Standard FB-DIMM memory board 30 mm 
133 mm 
133 mm 
55 mm
•IBM / ASTRON compute node board diagram 
DRAM DRAM 
P5020 
SPI 
flash 
PSoC 
Power 
converter 
Power 
converter 
USB 
I2C 
Serial 
JTAG 
Multiple 
Ethernet 
SDcard SATA 
•11
Compute node processor options 
•12 
FSL SoC parts P5040 T4240 
CPU GHz 2.2 1.8 
CPUs 4 cores, 1 thread per core 12 cores, 2 threads per core 
Primary cache 32 KB I + 32 KB D per core 32 KB I + 32 KB D per core 
Secondary cache 512 KB I+D 2 MB per 4 CPUs 
L3 cache 1 MB on chip 1.5 MB on chip 
Memory 2 x 2 GB, DDR3/L3, ECC 3 x 2 GB, DDR3/L3, ECC 
core e5500, ppc64 e6500, ppc64 
1 DP FP unit per core 1 DP FP unit per core 
128 bit SP altivec unit per core 
node 45nm 28nm 
TDP 55W 60W 
T4240 DIMM connector: 
•2 times SATA 
•4 times 10 Gigabit ethernet 
•SD card interface 
•USB interface 
•Some power supplies
T4240 SoC block diagram 
•13
•14 
T4240 board layout 
•FRONT 
•Decoupling 
•Capacitors 
•area 
•BACK
Hot Water Cooling 
Most Energy Efficient solution: 
j 
– Low TPUE possible (<=1.1) – Green IT 
– 40% less energy consumption compared to air-cooled systems 
– 90% of waste heat can be reused (CO2 neutral according Kyoto protocol) 
– Allows very high density 
– Less thermal cycling - improved reliability 
– Lower reduces leakage current – further saving energy 
SuperMUC HPC machine at LRZ in Germany demonstrates ZRL hot water cooling 
– No 4 on June 2012 TOP500 HPC list 
SuperMuc 
node board 
15
•16 
Compute node heat spreader 
Functions: 
• Electrically and thermally connects the compute node to 
cooling-power delivery infrastructure 
• allows heat removal laterally 
• allows main power delivery to the board 
•Populated processor board 
•Heat spreader 
•Schematics of board assembly 
•Processor chip 
•Power inductors 
•Processor PCB 
•Memory chips 
•Heat spreader •Power delivery contacts 
•(rivets) 
•Gnd 
•Power 
•Shield 
•capacitors
19” 2U Chassis with Combined 
Cooling and Power 
128 compute node boards 
1536 cores / 3072 Threads 
3 or 6 TB DRAM 
! Datacenter-in-a-box 
•17
Status (6 June 2014) 
•20 
• Rev 2 P5020/P5040 board in bringup 
– Ubootis running, Sataworks, booted Fedora 17, ppc64 
• Rev 1 T4240 board being populated 
– At our lab in 2 weeks 
• Power module working 
• Multinode carrier board in bringup 
• Water Cooling Thermal Test Vehicle in bringup 
• Pursuing building 64bit ARM compute module – contributions welcome 
• Public Event @ Astron on 3 July: 
! making P5040 available within DOME user platform
Status (2 april 2014) 
•21
Comparison to Calxeda node board
Comparison to Moonshot node board
S O F T W A R E
Acknowledgements 
This work is the results of many people 
• Peter v. Ackeren, FSL 
• Ed Swarthout, FSL Austin 
• Dac Pham, FSL Austin 
• Yvonne Chan, IBM Toronto 
• Andreas Doering, IBM ZRL 
• Tom Wilson, IBM Armonk 
• Alessandro Curioni, IBM ZRL 
• Stephan Paredes, IBM ZRL 
• James Nigel, FSL 
• Gary Streber, FSL 
• Patricia Sagmeister, IBM ZRL 
• Boris Bialek, IBM Toronto 
• Marco de Vos, Astron NL 
• Hillery Hunter, IBM WRL 
• Vipin Patel, IBM Fishkill 
• And many more remain unnamed…. 
Companies: FSL Austin, Belgium & Germany; IBM worldwide; Transfer - NL 
24
Published Conference Papers 
• “Parallelism and Data Movement Characterization of contemporary Application 
Classes ”, Victoria Caparros Cabezas, Phillip Stanley-Marbell, ACM SPAA 2011, June 
2011 
• “Quantitative Analysis of the Berkeley Dwarfs' Parallelism and Data Movement 
Properties”, Victoria Caparros Cabezas, Phillip Stanley-marbell, ACM CF 2011, May 
2011 
• “Performance, Power, and Thermal Analysis of Low-Power Processors for Scale- 
Out Systems”, Phillip Stanley-Marbell, Victoria Caparros Cabezas, IEEE HPPAC 2011, 
May 2011 
• “Pinned to the Walls—Impact of Packaging and Application Properties on the 
Memory and Power Walls”, Phillip Stanley-Marbell, Victoria Caparros Cabezas, 
Ronald P. Luijten, IEEE ISLPED 2011, Aug 2011. 
• “The DOME embedded 64 bit microserver demonstrator”, R. Luijten and A. 
•26 
Doering, ICICDT 2013, Pavia, Italy, May 2013 
• “Dual function heat-spreading and performance of the IBM / Astron DOME 64-bit 
μServer demonstrator”, R. Luijten , A. Doering and S. Paredes, ICICDT 2014, Austin 
Tx, May 2014

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IBM/ASTRON DOME 64-bit μServer Demonstrator Findings Status Outlook

  • 1. The IBM/ASTRON DOME 64-bit μServer Demonstrator: Findings, Status and Outlook Ronald P. Luijten – Data Motion Architect lui@zurich.ibm.com IBM Research - Zurich 6 June 2014 DISCLAIMER: This presentation is entirely Ronald’s view and not necessarily that of IBM.
  • 2. Definition μServer: The integration of an entire server node motherboard* into a single microchip except DRAM, Nor-boot flash and power conversion logic. •3 305mm 245mm 133mmx55mm * no graphics This does NOT imply low performance!
  • 3. © 2012 IBM Corporation Up to 2 Million+ Antenna’s What does this mean? •4 SKA: Largest Radio-astronomy antenna !Big data on Steroids
  • 4. ~ 10 Pb/s 86’400 sec/day Central Signal Proc Science Data Proc 10..14 ExaByte/day ? ~ 1 PB/Day. Prelim. Spec. SKA, R.T. Schilizzi et al. 2007 / Chr. Broekema ? •5
  • 5. ©© 22001142 IIBBMM CCoorrppoorraattioionn ~ 10 Pb/s 86’400 sec/day 10..14 ExaByte/day CSP SDP ? ~ 1 PB/Day. 330 disks/day 120’000 disks/yr ? Top-500 Supercomputing(11/2013)…. 0.3Watt/Gflop/s !Today’s industry focus is 1 Eflop @ 20MW. (2018) "( 0.02 Gflop/s) "Most recent data from SKA: "CSP….max. power 7.5MW "SDP….max. power 1 MW "Latest need for SKA – 4 Exaflop (SKA1 - Mid) " 1.2GW…80MW Too easy (for us) Too hard Moore’s law Factor 80-1200 •6 !multiple breakthroughs needed
  • 6. DOME Project: 5 Years, 33M Euro •User Platform •© 2012 •© 2013 IBIBMM C Coorrppoorraatitoionn •Algorithms & Machines Ronald P. Luijten – HPC User Forum April 2014 •7 •IBM at CeBIT 2013 – Rethink your business •7 •System Analysis •Data & Streaming •Sustainable (Green) Computing •Nanophotonics •Computing •Transport •Storage -Nanophotonics -Real Time Communications -Compressive Sampling -Microservers -Accelerators -Access Patterns -Student projects -Events -Research Collaboration IBM / ASTRON DOME project Technology roadmap development
  • 7. IBM DOME μServer Motivation & Objectives • Create the worlds highest density 64 bit μ-server drawer • Useful for both SKA radio-astronomy and IBM future business – Platform for Business Analytics appliance pre-product research – “Datacenter in-a-box” • Very high energy efficiency / very low cost (radioastronomers…) • Use commodity components only, HW + SW standards • Leverage ‘free computing’ paradigm • Enhance with ‘Value Add’: packaging, system integration, … • Density and speed of light • Most efficient cooling using IBM technology (ref: SuperMUC TOP500 machine) • Must be true 64 bit to enable business applications • Must run server class OS (SLES11 or RHEL6, or equivalent) – Precluded ARM (64-bit Silicon was not available) – PPC64 is available in SoC from FSL since 2011 – (I am poor – no $$$ for my own SoC…) • This is a research project – capability demonstrator only 9
  • 8. •10 Compute node board form factor Standard FB-DIMM memory board 30 mm 133 mm 133 mm 55 mm
  • 9. •IBM / ASTRON compute node board diagram DRAM DRAM P5020 SPI flash PSoC Power converter Power converter USB I2C Serial JTAG Multiple Ethernet SDcard SATA •11
  • 10. Compute node processor options •12 FSL SoC parts P5040 T4240 CPU GHz 2.2 1.8 CPUs 4 cores, 1 thread per core 12 cores, 2 threads per core Primary cache 32 KB I + 32 KB D per core 32 KB I + 32 KB D per core Secondary cache 512 KB I+D 2 MB per 4 CPUs L3 cache 1 MB on chip 1.5 MB on chip Memory 2 x 2 GB, DDR3/L3, ECC 3 x 2 GB, DDR3/L3, ECC core e5500, ppc64 e6500, ppc64 1 DP FP unit per core 1 DP FP unit per core 128 bit SP altivec unit per core node 45nm 28nm TDP 55W 60W T4240 DIMM connector: •2 times SATA •4 times 10 Gigabit ethernet •SD card interface •USB interface •Some power supplies
  • 11. T4240 SoC block diagram •13
  • 12. •14 T4240 board layout •FRONT •Decoupling •Capacitors •area •BACK
  • 13. Hot Water Cooling Most Energy Efficient solution: j – Low TPUE possible (<=1.1) – Green IT – 40% less energy consumption compared to air-cooled systems – 90% of waste heat can be reused (CO2 neutral according Kyoto protocol) – Allows very high density – Less thermal cycling - improved reliability – Lower reduces leakage current – further saving energy SuperMUC HPC machine at LRZ in Germany demonstrates ZRL hot water cooling – No 4 on June 2012 TOP500 HPC list SuperMuc node board 15
  • 14. •16 Compute node heat spreader Functions: • Electrically and thermally connects the compute node to cooling-power delivery infrastructure • allows heat removal laterally • allows main power delivery to the board •Populated processor board •Heat spreader •Schematics of board assembly •Processor chip •Power inductors •Processor PCB •Memory chips •Heat spreader •Power delivery contacts •(rivets) •Gnd •Power •Shield •capacitors
  • 15. 19” 2U Chassis with Combined Cooling and Power 128 compute node boards 1536 cores / 3072 Threads 3 or 6 TB DRAM ! Datacenter-in-a-box •17
  • 16. Status (6 June 2014) •20 • Rev 2 P5020/P5040 board in bringup – Ubootis running, Sataworks, booted Fedora 17, ppc64 • Rev 1 T4240 board being populated – At our lab in 2 weeks • Power module working • Multinode carrier board in bringup • Water Cooling Thermal Test Vehicle in bringup • Pursuing building 64bit ARM compute module – contributions welcome • Public Event @ Astron on 3 July: ! making P5040 available within DOME user platform
  • 17. Status (2 april 2014) •21
  • 18. Comparison to Calxeda node board
  • 20. S O F T W A R E
  • 21. Acknowledgements This work is the results of many people • Peter v. Ackeren, FSL • Ed Swarthout, FSL Austin • Dac Pham, FSL Austin • Yvonne Chan, IBM Toronto • Andreas Doering, IBM ZRL • Tom Wilson, IBM Armonk • Alessandro Curioni, IBM ZRL • Stephan Paredes, IBM ZRL • James Nigel, FSL • Gary Streber, FSL • Patricia Sagmeister, IBM ZRL • Boris Bialek, IBM Toronto • Marco de Vos, Astron NL • Hillery Hunter, IBM WRL • Vipin Patel, IBM Fishkill • And many more remain unnamed…. Companies: FSL Austin, Belgium & Germany; IBM worldwide; Transfer - NL 24
  • 22. Published Conference Papers • “Parallelism and Data Movement Characterization of contemporary Application Classes ”, Victoria Caparros Cabezas, Phillip Stanley-Marbell, ACM SPAA 2011, June 2011 • “Quantitative Analysis of the Berkeley Dwarfs' Parallelism and Data Movement Properties”, Victoria Caparros Cabezas, Phillip Stanley-marbell, ACM CF 2011, May 2011 • “Performance, Power, and Thermal Analysis of Low-Power Processors for Scale- Out Systems”, Phillip Stanley-Marbell, Victoria Caparros Cabezas, IEEE HPPAC 2011, May 2011 • “Pinned to the Walls—Impact of Packaging and Application Properties on the Memory and Power Walls”, Phillip Stanley-Marbell, Victoria Caparros Cabezas, Ronald P. Luijten, IEEE ISLPED 2011, Aug 2011. • “The DOME embedded 64 bit microserver demonstrator”, R. Luijten and A. •26 Doering, ICICDT 2013, Pavia, Italy, May 2013 • “Dual function heat-spreading and performance of the IBM / Astron DOME 64-bit μServer demonstrator”, R. Luijten , A. Doering and S. Paredes, ICICDT 2014, Austin Tx, May 2014