Atos announces the Bull sequana X1000 the first exascale-class supercomputer. Jakub Venc

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1 Atos announces the Bull sequana X1000 the first exascale-class supercomputer Jakub Venc

2 The world is changing The world is changing Digital simulation will be the key contributor to overcome 21 st century challenges, provided it can rely on intensive computing resources

Designing more environment-friendly engines Challenges Reduce Co2 emission 2x by 2020, and 4x by 2050 Reduce fuel consumption by 15% Reduce noise More and more complex models are required Worldwide

3 Designing more environment-friendly engines Challenges Reduce Co2 emission 2x by 2020, and 4x by 2050 Reduce fuel consumption by 15% Reduce noise More and more complex models are required Worldwide leader for aircraft engines. The new LEAP engine is already 16% more fuelefficient, 16% more Co2 efficient and 15db less noisy SAFRAN needs to increase its computing resources by 70% -100% each year It s time to shift to a new computing scale

Leveraging genomics for better diagnosis & treatment Challenges Offer more in-depth and comprehensive genomic analyses to healthcare organizations to improve

National Center of Genomic Analysis is involved in large scale sequencing projects in areas as diverse as cancer genetics and rare diseases.

4 Leveraging genomics for better diagnosis & treatment Challenges Offer more in-depth and comprehensive genomic analyses to healthcare organizations to improve diagnosis and treatments CNAG sequences over 800 billion genomic bases every day and needs to conduct quick, accurate analysis at the lowest cost Spain s National Center of Genomic Analysis is involved in large scale sequencing projects in areas as diverse as cancer genetics and rare diseases. The assembly of millions of reads into a genome sequence requires substantial computational power and a complete High Performance Data Analytics It s time to shift to a new computing scale

5 Re-inventing agriculture to meet 21st century demand Challenges Population growth: 8.5 billion people in 2030 Reduction of the use of pesticide by 30% Proactivity to climate change, ground quality alteration or plant behavior Based on sensors, using complex models, precision agriculture will contribute to better use of fertilizers or agriculture inputs In the last 10 years, Precision Agriculture has improved practice % of new farm equipment sold has now some form of PA component inside. It requires massive computing and Big Data resources It s time to shift to a new computing scale

Enhancing quality, cost and performance of urban services is critical to keep citizens safe, healthy, prosperous and well-informed Smart

6 Imagining smart cities for high-quality urban services Challenges 70% of the worldwide population will live in cities within a few decades. Enhancing quality, cost and performance of urban services is critical to keep citizens safe, healthy, prosperous and well-informed Smart city projects handle millions of connected objects. They use large-scale data to address real-world challenges in an urban context Real-estate valuation Urban planning Motion of citizens Disease spread monitoring Traffic management It s time to shift to a new computing scale

data and observations require more computing resources and an efficient capability to compute massive data Finer mesh

7 Relying on fine-grain models to better anticipate severe weather phenomena Challenges Issue forecasts every hour Enable local weather prediction Predict and localize severe phenomena New models and the processing of a greater number of data and observations require more computing resources and an efficient capability to compute massive data Finer mesh size 2.5 km today 500 m soon for strategic areas such as airports 180 PB by 2018 It s time to shift to a new computing scale.

8 It s all about simulating & analyzing ever-more complex phenomena Explosion of computing resources Computing power X 1000 From petaflops to exaflops Explosion of data Data pools X 1000 From petabytes to exabytes EXTREME COMPUTING EXTREME DATA 1, ,

9 It s time to shift to a new computing scale Bull sequana X1000 It s time for a new generation of supercomputers It s time for sequana, the first exascale-class supercomputer

10 sequana, the open exascale-class supercomputer Open and multi-technology to preserve investments over the long-term to fit with all kinds of usages Ultra dense and scalable Large building blocks to facilitate scaling Embedding the fastest interconnects Ultra-energy efficient Easy administration Pre-installed cell Integrated service nodes All-in-one sequana cell 2 compute cabinets 1 server cabinet including L1&L2 interconnect switches and a management server 288 compute nodes -Intel Xeon Broadwell-EP, Xeon PHI KNL, Skylake-EP -NVIDIA GPU Pascal accelerator 1 interconnect - Infiniband EDR, BXI 1 Petaflop in 1 sequana cell (2016)

11 sequana overcomes the 4 main exascale challenges Keep the 20 MW limit under control Compute massive data pools, from petabytes to exabytes Accelerate application performance with a tens of millions-way parallelism Self-healing system Energy consumption Data deluge Application performance Resilience

12 sequanais ultra energy-efficient Power Usage Effectiveness nearing % Data Liquid Cooling DLC pulsing through all the critical elements including CPUs, interconnect, PSUs etc. Warm water up to 40 C sequanaconsumes 10x less energy compared to previous generation systems Energy-aware capabilities High Definition Energy Efficiency Monitoring Energy sensors

Data deluge: sequanais designed to analyze massive data flows Multi-tier data organization Full data life-cycle management Embedded I/O nodes Global data access

13 Data deluge: sequanais designed to analyze massive data flows Multi-tier data organization Full data life-cycle management Embedded I/O nodes Global data access High bandwidth Low latency High message rate At this scale, data organization, movement and access have a considerable impact on operational performance and costs.

14 sequanawith BXI accelerates application performance BXI is the fastest interconnect, designed for exascale Frees up CPU from communication overhead Full communication offload Revolutionary hardware acceleration Designed for massive parallelism Up to 64k nodes up to 16 millions of threads Resource management at scale -bullxsupercomputer suite Resilience - Adaptive Routing -Quality of service -Error checking - Out-of-band monitoring Sustains performance under the most demanding workloads Designed to support exascaleprogramming models and languages

15 sequana maximizes resilience for the benefit of production Complete management suite Hierarchical management Embedded and redundant management server Automatic configuration Node recognition An exascalesystem, due to the massive number of critical hardware and software components, will experience various kinds of faults several times a day Self-healing system Redundancy of critical elements Switch-over capabilities Resilient interconnect

16 Atos experts prepare applications for exascale Complete HPC service catalog Deep expertise in key applications fields Advisory, proof-of-concept, application re-engineering, performance analysis, application porting, training Take the most of sequana

Exascale Program announcement SC14, New-Orleans, Nov.

17 Committed roadmap to exascale 1 petaflops 100 petaflops 1,000 petaflops bullx announcement ISC09 Hamburg June Tera 100 1st petascale supercomputer in Europe Exascale Program announcement SC14, New-Orleans, Nov. sequana announcement SC15, Austin Nov. sequana evolutions Exascale supercomputers >2020 HPC HPC + Big Data

18 Cooperation with best of breed technology providers and advanced customers

19 CEA and Atos team up to deliver an exaflop supercomputer by : Tera : Tera st petaflop supercomputer in Europe 250GB/s global storage BW #6 in Top : Tera x less electricity consumption than Tera : Tera x application performance 20x lower consumption than Tera : Exa 1

20 It s time for sequana Live innovation to the fullest

21 Thank you Jakub Venc Atos, the Atos logo, Atos Consulting, Atos Worldgrid, Worldline, BlueKiwi, Canopy the Open Cloud Company, Yunano, Zero , Zero Certified and The Zero Company are registered trademarks of Atos. July Atos. Confidential information owned by Atos, to be used by the recipient only. This document, or any part of it, may not be reproduced, copied, circulated and/or distributed nor quoted without prior written approval from Atos.

SKA. data processing, storage, distribution. Jean-Marc Denis Head of Strategy, BigData & HPC. Oct. 16th, 2017 Paris. Coyright Atos 2017

SKA. data processing, storage, distribution. Jean-Marc Denis Head of Strategy, BigData & HPC. Oct. 16th, 2017 Paris. Coyright Atos 2017 SKA data processing, storage, distribution Oct. 16th, 2017 Paris Jean-Marc Denis Head of Strategy, BigData & HPC Coyright Atos 2017 What are SKA data and compute needs? Some key numbers Source: Image Swinburn