Dell - HPC: Soluzioni applicate al mondo della Ricerca

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Dell - HPC: Soluzioni applicate al mondo della Ricerca

  1. 1. Cambridge Solution CentreHPC: Soluzioni applicate almondo della RicercaCome Dell aiuta i suoi clienti a semplificare l’High-Performance computing Marco Verardi | Solution Consultant | Dell
  2. 2. What is the HPC Solution Centre?• It is a Dell - Cambridge HPC Centre of Excellence based out of the Cambridge HPC service in Cambridge UK• It is jointly managed by Dell & Cambridge with technical input from Dell, Cambridge & a range of HPC technology partners• The Centre also contains one of the largest production HPC systems in the UK & a fully equipped & staffed HPC & Storage Solution Lab2 Pisa, November 24, 2010
  3. 3. How does the HPC Service work?• The Cambridge HPC Service is run as a pay at point of use cloud computing business. –4 years development in creating service provision models & software tools to enable such an operation –The whole design & running of the HPC service has been optimised for the cloud computing model, –Transitioned from 100% subsidised to 100% self sustained• This determines the design, usage model & funding profile of the Service3 Pisa, November 24, 2010
  4. 4. • Provides HPC resources & support to 60 research groupsCambridge 350 users across 12HPC Users departments of the University • Growing external research organisations & industry users! • Broad range of application types, usage modes, job sizes & CPU to data ratio’s. • Common requirement, flexible access, fast turn around & high technical support capability. • The Cambridge HPC cloud user base is one of the largest & most demanding any where in the world with world leading application knowledge
  5. 5. What Does the Centre offer Dell?• It will produce targeted HPC solutions & POC’s to meet real life customer requirements, these designs can then be used in the sales process• It provides large benchmarking & test facilities• It provides a centre for multiple technologies with a broad range of Dell & 3rd Party HPC equipment acting as an HPC compute & storage Lab for creation of new solution stacks & performance data – Lustre parallel file systems, storage design, implementation and operation – GPU Clusters – CUDA programming and GPU cluster system integration – Scientific visualisation – commodity 3D Visualisation and remote visualisation – Commodity shared memory solutions – ScaleMP – multi user HPC configurations, testing, benchmarking best practises – Application optimisation and benchmarking, MPI profiling – Resource management and scheduling – HPC Cloud provisioning5 Pisa, November 24, 2010
  6. 6. Technical Solutions To Date During the first quarter of the Solution Centre operation a number of technical solutions have been designed, built & tested: –Dell MD3000 Lustre brick –Dell MD3000 NFS – IPoIB –Remote visualization –GPU cluster6 Pisa, November 24, 2010
  7. 7. Dell-LHC Team Enabling researchers to have more compute power and storage space7 Pisa, November 24, 2010
  8. 8. Dell ATLAS Test Site Research• Compilers (Intel vs.. gcc) for ATLAS codes• BIOS settings – Logical processor (hyper-threading) › How many ATLAS jobs can I run at once? – Turbo-mode – C-states• Memory configurations• SRM (BeStMan, StoRM) on Lustre• Data aware scheduling• ATLAS codes running in VMs8 DELL CONFIDENTIAL
  9. 9. Tiers of Storage for ResearchComputing Lustre, dCache, GPFS CASTOR, SAM, NFS Stornext9 Pisa, November 24, 2010
  10. 10. Scalable Storage Building Block for LHC• Redundant storage pairs: – 240TB raw, 200TB Raided storage (2LUNs per array, Raid 5 5+1) per pair (no file system overhead included in calculation) – 3.4GBps raw write BW, 5.2GBps raw read BW per pairPowerVault MD1200, SAS, 12 Bay, Dual Controller12 2TB, NLSAS 6Gb, 7.2K, 3.5 HDD MD1200 MD1200 MD1200 MD1200 MD1200 MD1200 MD1200 MD1200 MD3200 MD3200PowerVault MD3200, SAS, 12 Bay, Dual Controller12 2TB, NLSAS 6Gb, 7.2K, 3.5 HDD,License Key High Performance Tier R710 R710 Dual Intel® Xeon® E5620 2.4Ghz, 12M Cache,Turbo, HT, 1066MHz Max Mem 24GB Memory (6x4GB), 1333MHz Dual Ranked RDIMMs Dual 300GB 15K RPM Serial-Attach SCSI 6Gbps 3.5in Hotplug Hard Drive (RAID 1) Dual SAS HBA Qlogic QLE7340 Single Port QDR Infiniband10 Pisa, November 24, 2010
  11. 11. PowerEdge C6100Dell’s cluster optimized, shared infrastructure server High Density Compute • Four 2S servers in 2u = 20% denser than blades • Tylersburg, 12xDDR3 w/QR • 24 x 2.5” or 12 x 3.5” HDD • 24x GbE, 1 x16 Gen II, 1 x8 daughter card • IPMI 2.0 management only • iKVM, PXE support • Hot plug motherboards & HDD • Redundant 1400W power supplies11 Pisa, November 24, 2010
  12. 12. PowerEdge C410x PCIe Expansion ChassisMaximizing space, weight, energy and cost efficiency, with unprecedentedflexibility PCIe EXPANSION CHASSIS CONNECTING 1-8 HOSTS TO 1-16 PCIe Great for: HPC including universities, oil & gas, biomed research, design, simulation, mapping, visualization, rendering, and gaming • 3U chassis, 19” wide, 143 pounds • Thermals: high-efficiency 92mm fans; N + 1 • PCI express modules: 10 front, 6 rear fan redundancy • PCI form factors: HH/HL and FH/HL • Management: On-board BMC; IPMI 2.0; • Up to 225W per module dedicated management port • PCIe inputs: 8PCIe x16 IPASS ports • Power supplies: 4 x 1400W hot-plug, high • PCI fan out options: x16 to 1 slot, x16 to 2 slot, efficiency PSUs; N+1 power redundancy x16 to 3 slot, x16 to 4 slot • Services vary by region: IT Consulting, Server • GPUs supported: NVIDIA M1060, M2050, and Storage Deployment, Rack Integration (US M2070 (TBD) only), Support Services12 Pisa, November 24, 2010
  13. 13. Flexibility of the PowerEdge C410x• Enabling HPC applications to optimize cost / performance equation off single x16 1 GPU / x16 8GPU/7U 2 GPU / x16 16GPU/7U x16 PCI x16 x16 PCI x16Host HIC Switch GPU Host HIC Switch GPU x16C6100 C410x C6100 GPU C410x iPass cable 7U = (1) C410x + (2) C6100 iPass cable 7U = (1) C410x + (2) C6100 3 GPU / x16 12GPU/5U 4 GPU / x16 16GPU/5U x16 x16 x16 x16 PCI PCIHost HIC Switch GPU Host HIC Switch GPUC6100 x16 x16 GPU C6100 GPU x16 x16 iPass cable GPU iPass cable GPU C410x x16 C410x GPU 5U = (1) C410x + (1) C6100 5U = (1) C410x + (1) C6100 GPU/U ratios assume PowerEdge C6100 host with 4 servers per 2U chassis13 Confidential
  14. 14. Introducing the PowerEdge M610x • Full-height blade server coupled to a uniquely capable PCIe expansion module. • Dual x16 Gen2 PCIe expansion slots accommodate any standard full length or full height PCIe card. • Supplemental power connectors allow utilization of up to 2 x 250W or 1 x 350W PCIe cards (including GPGPUs).14 Pisa, November 24, 2010
  15. 15. Cosa facciamo in Italia – Federico II, Telespazio, General Electric, INAF, CIRA, ASI, Politecnico MI, INFN, CNAF – Ci avvaliamo del supporto di Partner locali quali: Altair Engineering e DoIT15 Confidential
  16. 16. Summary• Come vi aiutiamo a semplificare l’HPC – Attraverso Partnership con Istituzioni Leader nel settore, e con Partner locali in grado di erogare i servizi necessari – Creando un framework abilitante di soluzioni e tecnologie (Cambridge, Atlas) – Investendo in R&D per la produzione di hardware dedicato a soluzioni specifiche (C410x, M610x) – Sviluppando Tailored Solutions 16 Confidential
  17. 17. Q&A Questions?17 Pisa, November 24, 2010
  18. 18. Thank you.

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