The Swiss National Supercomputing Centre - Driving innovation in computational research in Switzerland - SKA | EPFL
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The Swiss National Supercomputing Centre Driving innovation in computational research in Switzerland
CSCS in a nutshell
§ Established in 1991 as a unit of ETH Zurich
§ 90 highly qualified staff from 16 nations
§ Develops and operates the key supercomputing capabilities required to
solve important problems to science and/or society
§ Leads the national strategy for High-Performance Computing and Networking
(HPCN)
§ Has a dedicated User Laboratory for supercomputing since 2011 (i.e. research
infrastructure funded by the ETH Domain on a programmatic basis)
§ ~1200 users, 116 projects (2017)
§ Annual budget
§ Operations: CHF 17 mio.
§ Investments CHF 20 mio.
The Swiss National Supercomputing Centre 2
Services Provided
3
User Lab
§ Scientific users can access CSCS computing resources for free
§ They have to submit project requests that are assessed by international experts
§ 43.4 million node hours have been used in 2016
§ 109 projects, 754 users
The Swiss National Supercomputing Centre 4
Collaboration Agreements
Core Mission Services on non dedicated systems
§ UserLab § Empa
§ PRACE Tier 0
§ ETH Zurich
§ Hilti (ending in 2019)
Housing
§ MARVEL
§ BlueBrain for EPFL
§ Euler for ETH Zurich § PartnerRe
§ Paul Scherrer Institute
Hosting (dedicated systems) § Università della Svizzera italiana
§ MeteoSwiss § University of Geneva / CADMOS
§ Mönch Cluster for ETH Zurich § University of Zurich
§ Phoenix for CHIPP (new also as non dedicated
system)
Quarterly all-hands meeting 5
Example of co-Design Project
MeteoSwiss NExT Cosmo Suite
6
Improving simulation quality requires higher performance –
what exactly and by how much?
§ Current model running through mid 2016 § New model starting operation on in 2016
§ COSMO-2 (2.2 km grid) § COSMO-1 (1.1 km grid)
§ 24h forecast running in 30 min. § 24h forecast running in 30 min.
8x per day 8x per day (~10x COSMO-2)
§ COSMO-2E (21 times 2.2 km grid)
§ 21-member ensemble,120h forecast
in 150 min., 2x per day (~26x COSMO-2)
§ KENDA
§ 40-member ensemble,1h forecast in 15 min.,
24x per day (~5x COSMO-2)
§ New production system must deliver ~40x
the simulations performance of existing
HPC system
Origin of factor 40 performance improvement
§ Current production system installed in 2012
§ New Piz Kesch/Escha installed in 2015
§ Processor performance 2.8 x ß Moore’s law
§ Improved system utilisation 2.8 x
§ General software performance 1.7 x ß Software refactoring
§ Port to GPU architecture 2.3 x
§ Increase in number of processors 1.3 x
§ Total performance improvement ~ 40 x
§ Bonus: simulation running on GPU is 3x more energy efficient compared to
conventional state of the art CPU
The Swiss National Supercomputing Centre 8
Example of co-Design Project
Swiss Particle Particle Physics Community (CHIPP) and CERN
The Swiss National Supercomputing Centre 9
CHIPPonCray – The Context
§ Collaboration with Swiss Institute of Particle Physics (CHIPP) to analyze data
from the Large Hadron Collider Experiment (LHC) at CERN in Geneva
§ In the scope of this collaboration CSCS is running a dedicated cluster since 2007
§ Computing power corresponds to about one Piz Daint cabinet
§ Up to 50 TB of data transferred daily to CSCS for analysis
§ 4 PB of local data
§ Phoenix contributes to 2% of the total computing infrastructure of CERN
CHIPP - CSCS 10CHIPPonCray – What Changed?
Before (still today) Tomorrow (in fact, already now)
§ Cluster Phoenix as dedicated cluster § Ported to Piz Daint, non dedicated environment
§ Few synergies with other HPC activities being § Porting only possible because Cray
developed at CSCS environment is getting less specific
§ Headaches managing its yearly upgrades
§ Will allow to take full advantage of Cray HPC
§ Difficulty to scale up infrastructure by order of environment
magnitude
§ Important step to adapt to increasing needs of
§ No flexibility on service provision
particle physics community ( x 50)
Quarterly all-hands meeting 11CHIPPonCray – The Solution
§ Containerized compute nodes (with docker/shifter)
§ Different components are shared with the Phoenix
§ Equivalent to Phoenix in performance, but better economy of scales
§ Opens the door to other HPC technologies
§ We’re the first ones doing this!
§ Lots of visibility inside and outside CSCS
§ Built a bridge for future collaborations with CERN
CHIPP - CSCS 12The Supercomputers of CSCS
13High-risk & high-impact projects
Application driven co-design
of pre-exascale supercomputing ecosystem 2017-2020
rid b rid
e II: e d hy b 2016 e I I I : e d hy
s s s
a
P h X ba s P ha c a l ba
K2 0 Pas
2015
Monte Rosa Upgrade to
re
Cray XT5 Cray XE6 -co
ulti 2014
14’762 cores 47,200 cores e I : r k &m Upgrade
s o
Pha s netw
2013
Hex-core upgrade Ar i e
22’128 cores Development &
2012 procurement of
petaflop/s scale
2011 supercomputer
2010 Three pronged approach of the HPCN Initiative
1. New, flexible, and efficient building
New 2. Efficient supercomputers
2009
Begin construction building 3. Efficient applications
of new building complete
The Swiss National Supercomputing Centre 14Piz Daint specifications
The Swiss National Supercomputing Centre 15Final Considerations
The Swiss National Supercomputing Centre 16Possible Contribution of CSCS to SKA
§ Co-design of scientific applications and needed computing infrastructure
§ Design of distributed infrastructures for data management and computations
§ Design of technical infrastructure to support required computational infrastructure
§ Providing of storage and computational resources
The Swiss National Supercomputing Centre 17Thanks for your attention.
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