• Share
  • Email
  • Embed
  • Like
  • Save
  • Private Content
The SKA Project - The World's Largest Streaming Data Processor

The SKA Project - The World's Largest Streaming Data Processor



In this presentation from the 2014 HPC Advisory Council Europe Conference, Paul Calleja from University of Cambridge presents: The SKA Project - The World's Largest Streaming Data Processor.

In this presentation from the 2014 HPC Advisory Council Europe Conference, Paul Calleja from University of Cambridge presents: The SKA Project - The World's Largest Streaming Data Processor.

"The Square Kilometre Array Design Studies is an international effort to investigate and develop technologies which will enable us to build an enormous radio astronomy telescope with a million square meters of collecting area."

Watch the video presentation: http://wp.me/p3RLHQ-cot



Total Views
Views on SlideShare
Embed Views



2 Embeds 5

https://twitter.com 4
https://www.linkedin.com 1



Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

CC Attribution License

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
Post Comment
Edit your comment

    The SKA Project - The World's Largest Streaming Data Processor The SKA Project - The World's Largest Streaming Data Processor Presentation Transcript

    • ISC 2014 Dr Paul Calleja Director Cambridge HPC Service
    • ISC 2014 • Introduction to Cambridge HPCS • Overview of the SKA project and the SKA SDP consortium • Two SDP work pages • SDP Open Architecture Lab • SDP operations Overview
    • ISC 2014 Cambridge University • The University of Cambridge is a world leading teaching & research institution, consistently ranked within the top 3 Universities world wide • Annual income of £1200M - 40% is research related - one of the largest R&D budgets within the UK HE sector • 17000 students, 9,000 staff • Cambridge is a major technology centre – 1535 technology companies in surrounding science parks – £12B annual revenue – 53000 staff • The HPCS has a mandate to provide HPC services to both the University and wider technology company community
    • ISC 2014 Four domains of activity Commodity HPC Centre of Excellence Promoting uptake of HPC by UK Industry Driving Discovery Advancing development and application of HPC HPC R& D
    • ISC 2014 • Over 1000 registered users from 35 departments • 856 Dell Servers - 450 TF sustained DP performance • 128 node Westmere (1536 cores) (16 TF) • 600 node (9600 core) full non blocking Mellanox FDR IB 2,6 GHz sandy bridge (200 TF) one of the fastest Intel clusters in he UK • SKA GPU test bed -128 node 256 card NVIDIA K20 GPU • Fastest GPU system in UK 250 TF • Designed for maximum I/O throughput and message rate • Full non blocking Dual rail Mellanox FDR Connect IB • Full GPUDirect functionality • Design for maximum energy efficiency • 2 in Green500 (Nov 2013) • Most efficient air cooled supercomputer in the world • 4 PB storage – Lustre parallel file system 50GB/s Cambridge HPC vital statistics
    • ISC 2014 CORE – Industrial HPC service & consultancy
    • ISC 2014 Dell | Cambridge HPC Solution Centre • The Solution Centre is a Dell Cambridge joint funded HPC centre of excellence, provide leading edge commodity open source HPC solutions.
    • ISC 2014 DiRAC national HPC service
    • ISC 2014 • Cambridge were the first European NVIDIA CUDA COE • Cambridge has had first large scale GPU cluster in UK for the last four years • Key technology demonstrator for SKA • Strong CUDA development skill within HPCS • New large GPU system– largest GPU system in UK one of the most energy efficient supercomputers in the world – built to push parallel scalability of GPU clusters by deploying the best network possible and combining with GPUDirect NVIDIA CCOE
    • ISC 2014 • The HPCS is providing all the data storage and computational recourse for a major new genomics study • The study involves the gene sequencing of 20,000 decease patients from the UK • This is a major data throughput workload with high data security issues • It requires building designing an efficient data throughput pipeline in terms of hardware and software. 20K genome project
    • ISC 2014 • 5 year research project with JLR • Drive capability in simulation & data mining • HPC design, implementation and operation best practice JLR R&D
    • ISC 2014 SA CHPC collaboration • HPCS has a long term strategic partnership with CHPC • HPCS has been working closely with CHPC for last 6 years • Technology strategy, system design procurement • HPC system stack development • SKA platform development
    • ISC 2014 • Next generation radio telescope • 100 x more sensitive • 1000000 X faster • 5 square km of dish over 3000 km • The next big science project • Currently the worlds most ambitious IT Project • First real exascale ready application • Largest global big-data challenge Square Kilometre Array - SKA
    • ISC 2014 SKA location • Needs a radio-quiet site • Very low population density • Large amount of space • Two sites: • Western Australia • Karoo Desert RSA A Continental sized RadioA Continental sized Radio TelescopeTelescope
    • ISC 2014 SKA – Key scientific drivers Cradle of lifeCosmic Magnetism Evolution of galaxies Pulsar survey gravity waves Exploring the dark ages
    • ISC 2014 But…… Most importantly the SKA will investigate phenomena we have not even imagined yet Most importantly the SKA will investigate phenomena we have not even imagined yet
    • ISC 2014 SKA timeline 2022 Operations SKA1 10% 2025: Operations SKA2 100% 2023-2027 Construction of Full SKA, SKA2 €2 B 2017-2022 10% SKA construction, SKA1 €650M 2012 Site selection 2012 - 2016 Pre-Construction: 1 yr Detailed design €90M PEP 3 yr Production Readiness 2008 - 2012 System design and refinement of specification 2000 - 2007 Initial concepts stage 1995 - 2000 Preliminary ideas and R&D
    • ISC 2014 SKA project structure SKA BoardSKA Board Director GeneralDirector General Work Package Consortium 1 Work Package Consortium 1 Work Package Consortium n Work Package Consortium n Advisory Committees (Science, Engineering, Finance, Funding …) Advisory Committees (Science, Engineering, Finance, Funding …) …… Project Office (OSKAO) Project Office (OSKAO) Locally funded
    • ISC 2014 Work package breakdown UK (lead), AU (CSIRO…), NL (ASTRON…) South Africa SKA, Industry (Intel, IBM…) UK (lead), AU (CSIRO…), NL (ASTRON…) South Africa SKA, Industry (Intel, IBM…) 1. System 2. Science 3. Maintenance and support /Operations Plan 4. Site preparation 5. Dishes 6. Aperture arrays 7. Signal transport 8. Data networks 9. Signal processing 10. Science Data Processor 11. Monitor and Control 12. Power SPO
    • ISC 2014 SDP = Streaming data processor challenge • The SDP consortium led by Paul Alexander University of Cambridge • 3 year design phase has now started (as of November 2013) • To deliver SKA ICT infrastructure need a strong multi-disciplinary team • Radio astronomy expertise • HPC expertise (scalable software implementations; management) • HPC hardware (heterogeneous processors; interconnects; storage) • Delivery of data to users (cloud; UI …) • Building a broad global consortium: • 11 countries: UK, USA, AUS, NZ, Canada, NL, Germany, China, France, Spain, South Korea • Radio astronomy observatories; HPC centres; Multi-national ICT companies; sub-contractors
    • ISC 2014 SDP consortium members Management Groupings Workshare (%) University of Cambridge (Astrophysics & HPFCS) 9.15 Netherlands Institute for Radio Astronomy 9.25 International Centre for Radio Astronomy Research 8.35 SKA South Africa / CHPC 8.15 STFC Laboratories 4.05 Non-Imaging Processing Team 6.95 University of Manchester Max-Planck-Institut für Radioastronomie University of Oxford (Physics) University of Oxford (OeRC) 4.85 Chinese Universities Collaboration 5.85 New Zealand Universities Collaboration 3.55 Canadian Collaboration 13.65 Forschungszentrum Jülich 2.95 Centre for High Performance Computing South Africa 3.95 iVEC Australia (Pawsey) 1.85 Centro Nacional de Supercomputación 2.25 Fundación Centro de Supercomputación de Castilla y León 1.85 Instituto de Telecomunicações 3.95 University of Southampton 2.35 University College London 2.35 University of Melbourne 1.85 French Universities Collaboration 1.85 Universidad de Chile 1.85
    • ISC 2014 SDP –strong industrial partnership • Discussions under way with • DelI, NVIDIA, Intel, HP IBM, SGI, l, ARM, Microsoft Research • Xyratex, Mellanox, Cray, DDN • NAG, Cambridge Consultants, Parallel Scientific • Amazon, Bull, AMD, Altera, Solar flare, Geomerics, Samsung, CISCO • Apologies to those I’ve forgotten to list
    • ISC 2014 SKA data rates .. Sparse AA Dense AA .. Central Processing Facility - CPF User interface via Internet ... To 250 AA Stations DSP ... DSP To 1200 Dishes ...15m Dishes 16 Tb/s 10 Gb/s Data Time Control 70-450 MHz Wide FoV 0.4-1.4 GHz Wide FoV 1.2-10 GHz WB-Single Pixel feeds Tile & Station Processing Optical Data links ... AA slice ... AA slice ... AA slice ...Dish&AA+DishCorrelation ProcessorBuffer ProcessorBuffer ProcessorBuffer ProcessorBuffer ProcessorBuffer ProcessorBuffer ProcessorBuffer ProcessorBuffer ProcessorBuffer ProcessorBuffer ProcessorBuffer ProcessorBuffer ProcessorBuffer ProcessorBuffer ProcessorBuffer ProcessorBuffer ProcessorBuffer ProcessorBuffer ProcessorBuffer ProcessorBuffer ProcessorBuffer ProcessorBuffer Dataswitch ...... Data Archive Science Processors Tb/s Gb/s Gb/s ... ... Time Standard ImagingProcessors Control Processors & User interface Pb/s Correlator UV Processors Image formation Archive Aperture Array Station 16 Tb/s 4 Pb/s 24 Tb/s 20 Gb/s 20 Gb/s 1000Tb/s
    • ISC 2014 SKA conceptual data flow
    • ISC 2014 Science data processor pipeline 10 Pflop 1 Eflop 100 Pflop Software complexity 10 Tb/s 200 Pflop 10 Eflop … Incoming Data from collectors Switch Bufferstore Switch Bufferstore BulkStoreBulkStore Correlator Beamformer UV Processor Imaging: Non-Imaging: Corner Turning Course Delays Fine F-step/ Correlation Visibility Steering Observation Buffer Gridding Visibilities Imaging Image Storage Corner Turning Course Delays Beamforming/ De-dispersion Beam Steering Observation Buffer Time-series Searching Search analysis Object/timing Storage HPCscienceHPCscience processingprocessing Image Processor 1000Tb/s 1 Eflop10 EB/ySKA 2 SKA 1 1 EB/y50 PB 2.5 EB
    • ISC 2014 SDP processing rack – feasibility model Host processor Multi-core X86 M-Core->10TFLOP/s M-Core->10TFLOP/s To rack switches Disk 1 ≥1TB 56Gb/s PCI Bus Disk 2 ≥1TB Disk 3 ≥1TB Disk 4 ≥1TB Processing blade 1 Processing blade 2 Processing blade 3 Processing blade 4 Processing blade 5 Processing blade 6 Processing blade 7 Processing blade 8 Processing blade 9 Processing blade 10 Processing blade 11 Processing blade 12 Processing blade 13 Processing blade 14 Processing blade 15 Processing blade 16 Processing blade 17 Processing blade 18 Processing blade 19 Processing blade 20 Leaf Switch-1 56Gb/s Leaf Switch-2 56Gb/s 42U Rack Processing Blade: GGPU, MIC,…? GGPU, MIC,…? Blade SpecificationBlade Specification
    • ISC 2014 SKA feasibility model … … … … … … … … … … …… AA-low Data 1 1 280 AA-low Data 2 1 280 Dishes Data 4 1 2 16 … 1 3 N … HPCHPC BulkBulk StoreStore 2 SwitchSwitch Correlator/ UV processor Further UV processors Imaging Processor Corner Turner switches 56Gb/s each … … AA-low Data 3 1 280 1 250 ……
    • ISC 2014 SKA conceptual software stack
    • ISC 2014 • Create a critical mass of HPC & astronomy knowledge combined with HPC equipment and lab staff to produce a shared resource to drive SKA system development studies and SDP prototyping – Strong coordination of all activities with COMP • Provide a coordinated engagement mechanism with Industry to drive SKA platform development studies Dedicated OAL project manager • Benchmarking • Perform standardised benchmarking across range different vendor solutions • Undertake a consistent analysis of benchmark systems and report into COMP • Manage a number of industry contracts driving system studies • Low level software RAID / Lustre performance testing • Large scale archives • Software defined networking • Openstack in HPC environment • SLUM as a telescope scheduler Open Architecture Lab function
    • ISC 2014 • Build prototype systems under direction from COMP • Undertaken system studies directed from COMP to investigate particular system aspects Dedicated HPC engineer being hired to drive studies • Act as managed Lab for COMP and wider SDP work packages., build systems, perform technical studies, make systems accessible. Dedicated Lab engineer to service LAB Open Architecture Lab function
    • ISC 2014 • Emphasis on testing scalable components in terms of hardware and software • Key considerations in architectural studies will be:- • Energy efficient architectures • Scalable cost effective storage • Interconnects • Scalable system software • Operations Open Architecture Lab function
    • ISC 2014 •Act as interface with industry providing coordinated engagement with SDP • Benchmark study papers • Roadmap papers • Discussion digests •Industrial system study contracts • Design papers • Benchmark papers •Build target test platform • Design papers • benchmark papers •Managed lab providing a service to SDP consortium • Service function is output Open Architecture Lab – Outputs
    • ISC 2014 • Coordinated by Cambridge jointly run HPCS (Cambridge) and CHPC (SA) – Dedicated PM – Dedicated HPC engineer – Dedicated lab engineer • Collaborate and coordinate with distributed labs • Cambridge • CHPC • Astron • Julich • Oxford Open Architecture Lab – Organisation
    • ISC 2014 •Large scale systems • 600 node (9600 core) full non blocking Mellanox FDR IB 2,6 GHz sandy bridge (200 TF) one of the fastest Intel clusters in he UK • SKA GPU test bed -128 node 256 card NVIDIA K20 GPU • GPU test bed built extensive testing underway – good understanding of GPU – GPU RDMA functionality - GPU focused engineer in place • Good understanding of current best practise in energy efficient computing and data build and design •4 PB storage – Lustre parallel file system 50GB/s Cambridge test beds
    • ISC 2014 • Small scale CPU test beds • Phi – Installed last week – larger cluster being designed • Arm – evaluating solutions • Atom – evaluating solutions • Agreed Intel Radio Astronomy IPPC 2 head count to be put in place looking at PHI • Storage test beds • Lustre on commodity hardware – H/W RAID - Installed • Lustre on commodity hardware – SW RAID – under test • Lustre on proprietary hardware – discussions with vendors • Lustre on ZFS – under test • Ceph – under test • Archive test bed –discussions with vendors • Distributed file system flash accelerated - in design • Strong storage test programme underway – head count of 4 in place driving the programme Cambridge test beds
    • ISC 2014 • Networking • Use current production system as large scale test bed • Dedicated equipment to be ordered • IB • Ethernet • Software defined networks • RDMA data transfers co-p to co-p • Networking SOW being constructed – 1FTE to be hired • Slurm test bed at Cambridge & CHPC • Headcount at Cambridge CHPC • Openstack test bed under construction – • Openstack development in CHPC/HPCS • SDP operations – OAL to feed into operation WP • Data centre issues Cambridge test beds
    • ISC 2014 • The SKA SDP compute facility will be at the time of deployment one of the largest HPC systems in existence • Operational management of large HPC systems is challenging at the best of times - When HPC systems are housed in well established research centres with good IT logistics and experienced Linux HPC staff • The SKA SDP could be housed in a desert location with little surrounding IT infrastructure, with poor IT logistics and little prior HPC history at the site • Potential SKA SDP exascale systems are likely to consist of 100,000 nodes occupy 800 cabinets and consume 20 MW. This is very large – around 5 times the physical size of Titan Cray at Oakridge national labs. • The SKA SDP HPC operations will be very challenging but tractable SKA Exascale computing in the desert
    • ISC 2014 • We can describe the operational aspects by functional element Machine room requirements ** SDP data connectivity requirements SDP workflow requirements System service level requirements System management software requirements** Commissioning & acceptance test procedures System administration procedure User access procedures Security procedure Maintenance & logistical procedures ** Refresh procedure System staffing & training procedures ** SKA HPC operations – functional elements
    • ISC 2014 • Machine room infrastructure for exascale HPC facilities is challenging • 800 racks, 1600M squared • 30MW IT load • ~40 Kw of heat per rack • Cooling efficiency and heat density management is vital • Machine infrastructure at this scale is both costly and time consuming • The power cost alone at todays cost is 10’s of millions (£) per year • Desert location presents particular problems for data centre • Hot ambient temperature - difficult for compressor less cooling • Lack of water - difficult for compressor less cooling • Very dry air - difficult for humidification • Remote location - difficult for DC maintenance Machine room requirements
    • ISC 2014 • System management software is the vital element in HPC operations • System management software today does not scale to exascale • Worldwide coordinated effort to develop system management software for exascale in HPC community • We are very interested in leveraging Openstack technologies from non HPC communities System management software
    • ISC 2014 • Current HPC technology MBTF for hardware and system software result in failure rates of ~ 2 nodes per week on a cluster a ~600 nodes. • It is expected that SKA exascale systems could contain ~100,000 nodes • Thus expected failure rates of 300 nodes per week could be realistic • During system commissioning this will be 3 or 4 X • Fixing nodes quickly is vital otherwise the system will soon degrade into a non functional state • The manual engineering processes for fault detection and diagnosis on 600 will not scale to 100,000 nodes. This needs to be automated by the system software layer • Vendor hardware replacement logistics need to cope with high turn around rates Maintenance logistics
    • ISC 2014 • Providing functional staffing levels and experience at remote desert location will be challenging • Its hard enough finding good HPC staff to run small scale HPC systems in Cambridge – finding orders of magnitude more staff to run much more complicated systems in a remote desert location will be very Challenging • Operational procedures using a combination of remote system administration staff and DC smart hands will be needed. • HPC training programmes need to be implemented to skill up way in advance Staffing levels and training
    • ISC 2014 Early Cambridge SKA solution - EDSAC 1 Maurice Wilkes