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Appro Xtreme-X Supercomputers

Appro Xtreme-X Supercomputers. A P P R O I N T E R N A T I O N A L I N C. Company Overview. :: Corporate Snapshot. Leading developer of high performance servers, clusters and supercomputers Established in 1991 Headquartered in Milpitas, CA Sales & Service office in Houston, TX

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Appro Xtreme-X Supercomputers

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  1. Appro Xtreme-X Supercomputers A P P R O I N T E R N A T I O N A L I N C

  2. Company Overview :: Corporate Snapshot • Leading developer of high performance servers, clusters and supercomputers • Established in 1991 • Headquartered in Milpitas, CA • Sales & Service office in Houston, TX • Manufacturing Hardware in Asia • Global Presence via Strategic and Channel Partners • 72% Profitable CAGR over past 3 years • Deployed the second largest Supercomputer in Japan • Six top ranked computing systems listed in the Top 500 • Delivering balanced architecture for scalable performance • Target Markets • Financial Services • Government / Defense • Manufacturing • Oil & Gas

  3. Strategic Partnership :: Appro & NEC Join Forces in HPC Market • NEC has a strong presence in the EMEA HPC Market with over 20 years of experience • This is a breakthrough for Appro’s entry into the EMEA HPC market • Provides sustainable competitive advantages enabling both companies to participate in this growing market segment • Appro and NEC look forward to working together to offer powerful, flexible and reliable solutions to EMEA HPC markets Formal Press Announcement will go out on Tuesday, 9/16/08

  4. HPC Experience :: Past Performance History 2006. 9 2006. 11 LLNL Atlas Cluster NOAA Cluster • 9,216 Cores • 18.4TB System Memory • 44 TFlops • 1,424 Cores • 2.8TB System Memory • 15 TFlops 2007. 6 2008. 2 DE Shaw Research Cluster LLNL Minos Cluster • 6,912 Cores • 13.8TB System Memory • 33 TFlops • 4,608 Cores • 9.2 TB System Memory • 49 TFlops

  5. HPC Experience :: Past Performance History 2008. 4 2008. 6 TLCC Cluster Tsukuba University Cluster • 48,384 Cores • LLNL, LANL, SNL • 426 TFlops • 10,784 Cores • Quad-rail IB • 95 TFlops 2008. 8 2008. 7 LLNL Hera Cluster Renault F1 CFD Cluster • 4,000 Cores • Dual-rail IB • 38 TFlops • 13,824 Cores • 120 TFlops

  6. HPC Challenges :: Changes in the Industry • Petascale deployments (4000+ node deployment) • Balanced Systems (CPU/Memory/Network) • Scalability (SW & Network) • Reliability (Real RAS: Network, Node, SW) • Facilities (Space, Power & Cooling) • Integrated exotics (GPU cluster) • Solutions still being evaluated

  7. Petascale Deployments Global File System Mgmt Node N GbE 2x GbE : InfiniBand for Computing : GbE Operation : GbE Management : 10GbE Operation Operation Network (10GbE) Mgmt Network (GbE) IO Node IO Node IO Node IO Node I/O Node I/O Node I/O Node I/O Node 2x GbE 2x 10GbE GbE or 10GbE External Network Firewall Router Compute Node Compute Node Compute Node Compute Node Compute Node Compute Node Compute Node Compute Node Compute Node Compute Node Compute Node Compute Node 2x 10GbE Operation Network (GbE) Operation Network (GbE) Operation Network (GbE) Operation Network (GbE) Compute Server Group 2x GbE per node Parallel File System 4x IB FC or GbE InfiniBand Network 4X IB Servers or Bridge Storage Server Storage Controllers Storage Server Storage Controllers :: Based on a Scalable Multi-Tier Architecture

  8. Petascale Deployments :: Scalable cluster management software 3D Torus Network Topology Support Stateless Operation Job Scheduling Dual Rail Networks BIOS Synchronization ACE Instant SW Provisioning Middle Ware-Hooks Virtual Cluster Manager Failover & Recovery IB-Subnet Manager Standard Linux OS Support Remote Lights out Management “Appro Cluster Engine™ software turns a cluster of Servers into a,” functional, usable, reliable and available computing system” Jim Ballew, CTO Appro

  9. Petascale Deployments :: Innovative Cooling and Density needed Top View • Up to 30% Improvement in Density with Greater Cooling Efficiency • Delivers Cold Air directly to the equipment for optimum cooling efficiency. • Delivers comfortable air temperature to the room for return to Chillers • Back-to-Back Rack configuration saves floor space in the datacenter and encloses the Cold isles inside the racks • FRU and maintenance is done from the front side of the rack cabinet

  10. Petascale Deployments .... :: Path to PetaFLOP Computing Appro Xtreme-X Supercomputer - Modular Scalable Performance Number of Racks 1 2 8 48 96 192 Number of Processors 128 256 1024 5,952 11,904 23,808 Number of Cores 512 1,024 4096 23,808 47,616 95,232 Peak Performance 6TF/s 12TF/s 49TF/s 279TF/s 558TF/s 1.1PF/s Memory Capacity 1.5TB 3TB 12TB 72TB 143TB 286TB Memory BW Ration GB/s per GF/s - 0.68GB/s per GF/s Memory Capacity Ratio GB per GF/s - 0.26GB per GF/s IO Fabric Interconnect – Dual-Rail QDR IO BW Ratio GB/sec per GF/s - 0.17GB/s per GF/s Usable Node-Node BW GB/s - 6.4GB/sNode-Node Latency - <2us Performance Numbers are Based on 2.93GHz Intel Nehalem Processors and Includes only Compute Nodes

  11. Xtreme-X Supercomputer :: Possible Path to PetaFLOP GPU Computing GPU Computing Cluster – Solution still being evaluated Number of Racks 3 5 10 18 34 Number of Blades 64 128 256 512 1024 Number of GPUs 32 64 128 256 512 Peak GPU Performance 128TF 256TF 512TF 1PF 2PF Peak CPU Performance 6TF 12TF 24TF 48TF 96TF Max Memory Capacity 1.6TB 3.2TB 6.4TB 13TB 26TB Bandwidth to GPU – 6.4GB/sec Node Memory Bandwidth – 32GB/sec Max IO Bandwidth (2 QDR X4 IB) - 6.4GB/sec Node to Node Latency – 2us ....

  12. Appro Xtreme-X Supercomputers Thank youQuestions? A P P R O I N T E R N A T I O N A L I N C

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