Remote Visualization and Collaborative Design for CAE Applications

Transcription

1 Remote Visualization and Collaborative Design for CAE Applications Giorgio Richelli IBM

2 What is Visualization? Visualization is a method of representing large amounts of complex data in ways that are easier to understand, analyze and support decision making. Humans perceive visual patterns Visualization and Collaboration enables better decisions because insight into complex information provides a richer decision context. 2

3 Background The Need for Speed Demands Visualization Computational Needs of Technical, Scientific, Digital Media & Business Applications Approach or Exceed the Petaflops/s Range M-OSRP Seismic 4.5 x 10e15 FLOPS CFD Wing Simulation 2.1 x 10e14 FLOPS Source: AGM, LGC, M-OSRP Intelligent Oilfield 1.7 x 10e21 FLOPS Source: A. Jameson, et al CFD Full Plane Simulation 8.7 x 10e24 FLOPS Digital Movies & Special Effects 2.7 x 10e19 FLOPS Spare Parts Inventory Planning 2.4 x 10e15 FLOPS Source: Pixar Source: B. Dietrich, IBM Modeling the optimized deployment of 10,000 part 3

4 Consider the traditional engineering deployment An aging solution. Time for an update 4

5 The traditional engineering deployment not a shareable resource not a collaborative resource not a scaleable resource not an economical resource not a secure resource IBM 5100 Portable circa 1975 IBM 5150 PC circa 1981 IBM 6150 RT PC circa 1986 IBM IntelliStation circa

6 Deskside deployments are complex and costly and defy consolidation strategies Data Network Network Data SW SW Network Network Data Networks Data SW Data SW SW Data Center Users Est. TCO: $2000/month per workstation 6

7 The Virtualized 3D Client Infrastructure for science, engineering & design Network Networks Data SW Apps Data Center Complete consolidation & provisioning with compute, data, & remote visualization Users 7

8 and virtual client infrastructures enable collaborative teaming WAN Networks Data SW Apps Data Center Complete consolidation & provisioning with compute, data, & remote visualization Users 8

9 Collaborative Design Graphics Servers Pixels over IP Thin client Thin client Remote Visual Networking : RVN 9

10 Remote Visual Networking: RVN Long-haul application delivery over networks Data generated on a remote supercomputer and stored on a SAN Collaborator #1 Researcher SAN The Network Collaborator #2 DCV Cluster 10 Image courtesy of Janssen Pharmaceuticals

11 Remote Visual Networking: RVN Long-haul application delivery over networks X Utilize end-station for access to a remotely executed and rendered OpenGL application Enables re-location or consolidation of Linux workstations X X X commands X events Compressed images DCV cluster managed like a pool of workstation resources Can be used for multi-user collaboration of a single application session Collaborators can join and detach from a collaborative session arbitrarily X ThinkPad with both installed applications and remote applications 11

12 12

13 Visual Systems Transforms Data into Insight... Visual Systems EVA High-end, immersive Workstation Remote, thin clients Secure Interactions Insight, Interactions, Decisions Graphics Render DCV Build Visual Representations Access Data Graphics is a component of visualization This is some text Tabular Scientific Multi-media Net Sensors Unstructured text 13

14 NICE EnginFrame integrated with IBM DCV (Deep Computing Visualization) IBM DCV 14

15 IBM DCV and Cisco TelePresence Share high resolution 3D applications within an immersive, face-to-face conferencing environment Thin Client w/ DCV Software Enterprise Network with QoS enabled Thin Client w/ DCV Software Cisco TelePresence UI Cisco TelePresence UI Cisco CallManager Site 1 Site 2 IBM DCV Application Node 15

16 Zebra can create precise, lifelike,holographic models from any kind of digital data (Catia,...) Deep Computing Visualization can send images to installed Zebra printers anywhere in the world, so teams can efficiently collaborate on visualization data and images from remote locations. 16

17 DCV: Scalable Visual Networking (SVN) Pixels over DVI Sync Pixels over DVI InfiniBand 4x OpenGL over MPI Pixels over DVI Pixels over DVI Application host SVN Features Available for Linux No re-engineering of code required All nodes are x86-64 IntelliStations Transparently scales/displays OpenGL windows Console access to application UI Scale resolution and number of displays 17

18 What is Scalable Visual Networking (SVN)? Enables large format, multi-headed, immersive visualization targeted for design reviews and collaborative visual interpretation. Landmark Visualization Lab at MUN Partnerships with various display vendors Flexible display configuration through wall files Stereographic capable Selectable OpenGL window on display UI on console or on wall (using DMX) 18

19 DCV: Collaborative Visual Networking (CVN) InfiniBand 4x Sync OpenGL over MPI Pixels over DVI Application host SVN/RVN sender Pixels over DVI Pixels over IP Features Application host can be an SMP server w/out gfx Application host can be Linux pseries server Multiple display walls from same host SVN and RVN can interoperate User extensibility through OpenGL overloads Windows XP supported for Endstations More flexible & secure RVN connections UI optionally available on display wall WAN WAN u u Endstation Endstation 19

20 Visual Computing Server Systems HC10 Blade + NVIDIA 1600M RVN Medium memory application host Processor Dual-Core Intel Core 2 Duo up to 2.66 GHz Memory(RAM) Up to 8 GB internal storage 60 GB 5400rpm SATA hard disk drive Network Gigabit Ethernet Graphics NVIDIA Quadro FX 1600M Advanced 3D Graphics adapter 20

21 Visual Computing Server Systems IBM Opteron Server (x3755) NVIDIA FX QUADRO 5600 Solution bundles being prepared: RVN large memory application host Graphics enabled server SVN large memory application host 21

22 A More Intelligent Approach Traditional Rack Servers 40 servers per rack 4 network leaf switches 2 enterprise racks 138% better density 50% less floor space Internet-Scale idataplex 66% less power consumption $10,148 energy savings per rack Ships complete, ready to deploy DataPlex price is 30% lower 22

23 Increases Density for Space Savings 42U Enterprise Rack 1 42U Enterprise Rack 2 Top-down view Optional Rear Door Heat exchanger Full-fan air depth Typical Enterprise Rack idataplex Half-fan air depth Optimized rack design more than doubles server density per rack Air flow efficiency equals power savings of up to 20% and 30-40% lower airflow impedance IBM Rear Door Heat exchanger provides the ultimate in cooling savings 23

24 idpx Rack Exhaust w/o RDHx idpx Rack Exhaust with RDHx idataplex idataplex with RDHX Number of Servers Room Temperature 25C/77F 25C/77F Server heat output 48,000 BTU 48,000 BTU Heat output to datacenter 48,000 BTU 0 BTU Temperature output to datacenter 33C/91F 17C/62F* *The Rear Door Heat Exchanger can actually remove more heat than the servers create up to 100,000 BTU 24

25 DCV SUCCESS STORIES 25

26 Remote Visualization and Collaborative Design for CAE Applications THANK YOU Giorgio Richelli IBM