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Cliff Addison
Observations on HPC Trends
(HPC-SIG / CASC and ISC'15)
24 Sept 2015
Outline
 HPC-SIG / CASC meeting
 Attendees largely HPC support and development people
 Many common experiences and interests
 Sustainability major undertone
●
Who is going to do the work?
●
New users not used to the command line.
●
Move to exascale infrastructure – by whom for whom?
 ISC'15
 Reasonably well attended – many top people from US
 Implications of, and what is needed for, exascale major themes
 Exposition not exciting; really enjoyed the technical presentations
 New approach, solutions needed – business as usual is ending
24 Sept 2015
Observed trends – after the meetings
 The marvellous improvements in x86-64 performance are ending.
 Haswell nodes seem to saturate memory circa 16-20 cores.
 Indications 24 cores can overload an InfiniBand connection.
 Return of the RISCs? (ARM64, Power8, SPARC64 XI etc.)
 Heterogeneous computing will soon be standard on nodes
 Where useful today?
 GPUs making inroads; Machine Learning could be exemplar.
 How ramp local / regional / national HPC to support?
 Software caught in a perfect storm.
 Who will be doing co-design / tuning with hardware?
24 Sept 2015
More observed trends
 Exascale treated seriously in EU, Japan, China and US
 UK efforts / thinking / planning appear to be lagging
 Increase in compute per watt particularly relevant (Hartree)
 Big Data and HPC blending together
 Push to compute / analyse in place rather than move data
 Linked experimental work and modelling
 Deep Learning deploys massive neural nets on GPU-HPC
 What about the exascale software and algorithms???
 Software in an even deeper hole.
 On other end of the scale – many new users working from GUIs
 OpenStack / Docker sort of environments underpinning???
24 Sept 2015
Exascale is not just hype!
 ISC'15 Consensus – circa 10 years for exaflop
 Race for 100 PF installation now
 Fujitsu FX-100 – SPARC64 XIfx with 3D memory (2016)
 Chinese Tianhe-2a – Matrix2000 2.4 TF GDDSP (2016)
 US CORAL – Intel Knight's Hill with 3D memory (2017)
 Critical relevance for HPC-SIG – what will £1M buy?
 Petascale energy projected 20kW; so 70kW about 3.5 PF
 Not enough happening / being invested in UK!
 Need full spectrum support – look at 3, 5, 10 year impact
 What should we look for in 2016 University HPC infrastructure?
24 Sept 2015
Perceived disconnect between CompSci / HPC
 Extremely interesting / heated discussion at HPC-SIG / CASC
 Some reinforcement of this perspective at ISC
 In a nut-shell:
 HPC needs research level help dealing with topics as diverse as:
 Data analysis, visualisation, computational steering,
 Better user interfaces
 Resource management
 Programming environments / tools / algs for parallelism
 BUT much of this work has little academic kudos within Computer
Science – interesting bits require Mathematical skills too
 Career paths for research software developers?
24 Sept 2015
What do we do? [HPC-SIG big role here!]
 Scope needed University HPC infrastructure for 2016
 Maximise research return for researcher time invested
 Try to capture requirements in 3-5 year horizon as well
 Press your Universities for adequate capital and recurrent
spending for your next purchase
 Software support and training are must haves
 Talk to your local Computer Science Departments!
 There may be a language barrier, but persevere
 HPC-SIG push for broader UK exascale planning
 Hartree (energy) and EPCC are leading UK institutions – Others?
 Support efforts for Research Software Engineers / Developers
24 Sept 2015
Final thoughts on ISC'15
 Not all doom and gloom! Lots of exciting things happening.
 Conference succeeded in highlighting the software issues.
 Interesting work taking place; question of scale and timing
 Top US researchers made a big impact
 Some of these (e.g. Ed Seidel) also at HPC SIG / CASC
 EU HPC summit Prague, 9-13 May 2016 – not just Horizon 2020.
 Virtualized, readily deployed side of cloud computing is big.
 Machine learning, particularly deep learning, is really taking off.
 But need to identify ways to spot the “unknown unknowns”
 Quantum computing is still circa 10 years away

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Hpc trends-20150924

  • 1. Cliff Addison Observations on HPC Trends (HPC-SIG / CASC and ISC'15)
  • 2. 24 Sept 2015 Outline  HPC-SIG / CASC meeting  Attendees largely HPC support and development people  Many common experiences and interests  Sustainability major undertone ● Who is going to do the work? ● New users not used to the command line. ● Move to exascale infrastructure – by whom for whom?  ISC'15  Reasonably well attended – many top people from US  Implications of, and what is needed for, exascale major themes  Exposition not exciting; really enjoyed the technical presentations  New approach, solutions needed – business as usual is ending
  • 3. 24 Sept 2015 Observed trends – after the meetings  The marvellous improvements in x86-64 performance are ending.  Haswell nodes seem to saturate memory circa 16-20 cores.  Indications 24 cores can overload an InfiniBand connection.  Return of the RISCs? (ARM64, Power8, SPARC64 XI etc.)  Heterogeneous computing will soon be standard on nodes  Where useful today?  GPUs making inroads; Machine Learning could be exemplar.  How ramp local / regional / national HPC to support?  Software caught in a perfect storm.  Who will be doing co-design / tuning with hardware?
  • 4. 24 Sept 2015 More observed trends  Exascale treated seriously in EU, Japan, China and US  UK efforts / thinking / planning appear to be lagging  Increase in compute per watt particularly relevant (Hartree)  Big Data and HPC blending together  Push to compute / analyse in place rather than move data  Linked experimental work and modelling  Deep Learning deploys massive neural nets on GPU-HPC  What about the exascale software and algorithms???  Software in an even deeper hole.  On other end of the scale – many new users working from GUIs  OpenStack / Docker sort of environments underpinning???
  • 5. 24 Sept 2015 Exascale is not just hype!  ISC'15 Consensus – circa 10 years for exaflop  Race for 100 PF installation now  Fujitsu FX-100 – SPARC64 XIfx with 3D memory (2016)  Chinese Tianhe-2a – Matrix2000 2.4 TF GDDSP (2016)  US CORAL – Intel Knight's Hill with 3D memory (2017)  Critical relevance for HPC-SIG – what will £1M buy?  Petascale energy projected 20kW; so 70kW about 3.5 PF  Not enough happening / being invested in UK!  Need full spectrum support – look at 3, 5, 10 year impact  What should we look for in 2016 University HPC infrastructure?
  • 6. 24 Sept 2015 Perceived disconnect between CompSci / HPC  Extremely interesting / heated discussion at HPC-SIG / CASC  Some reinforcement of this perspective at ISC  In a nut-shell:  HPC needs research level help dealing with topics as diverse as:  Data analysis, visualisation, computational steering,  Better user interfaces  Resource management  Programming environments / tools / algs for parallelism  BUT much of this work has little academic kudos within Computer Science – interesting bits require Mathematical skills too  Career paths for research software developers?
  • 7. 24 Sept 2015 What do we do? [HPC-SIG big role here!]  Scope needed University HPC infrastructure for 2016  Maximise research return for researcher time invested  Try to capture requirements in 3-5 year horizon as well  Press your Universities for adequate capital and recurrent spending for your next purchase  Software support and training are must haves  Talk to your local Computer Science Departments!  There may be a language barrier, but persevere  HPC-SIG push for broader UK exascale planning  Hartree (energy) and EPCC are leading UK institutions – Others?  Support efforts for Research Software Engineers / Developers
  • 8. 24 Sept 2015 Final thoughts on ISC'15  Not all doom and gloom! Lots of exciting things happening.  Conference succeeded in highlighting the software issues.  Interesting work taking place; question of scale and timing  Top US researchers made a big impact  Some of these (e.g. Ed Seidel) also at HPC SIG / CASC  EU HPC summit Prague, 9-13 May 2016 – not just Horizon 2020.  Virtualized, readily deployed side of cloud computing is big.  Machine learning, particularly deep learning, is really taking off.  But need to identify ways to spot the “unknown unknowns”  Quantum computing is still circa 10 years away