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© 2012 ANSYS, Inc. April 26, 2012 1 High-Performance Cluster Configurations for ANSYS Fluid Dynamics ANSYS IT Solutions Webcast Series

High-Performance Cluster Configurations for ANSYS Fluid Dynamics

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High-Performance Cluster Configurations for ANSYS Fluid Dynamics

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  • 2012 ANSYS, Inc. April 26, 2012 1

    High-Performance Cluster Configurations for ANSYS Fluid Dynamics

    ANSYS IT Solutions Webcast Series

  • 2012 ANSYS, Inc. April 26, 2012 2

    2012 webcast series from ANSYS and our partners

    Our goal is to provide ANSYS customers with

    Recommendations on HW and system specification

    Best practice configuration, setup, management

    Roadmap and vision for planning

    Upcoming Topics

    Storage and Data Management

    Remote Access / Centralized HPC

    Workstation Refresh ROI

    Cloud, mobile platforms,

    IT Solutions for ANSYS - Webcast Series

    http://www.ansys.com/Support/Platform+Support/IT+Solutions+for+ANSYS+Webcast+Series+2012

  • 2012 ANSYS, Inc. April 26, 2012 3

    ANSYS Focus on IT Solutions

    IT is the enabler for more effective use of engineering simulation.

    High Fidelity Results

    Simulation allows engineering to know, not guess but only if IT can deliver infrastructure suited for ever larger mega-simulations

    Design Exploration / Optimization

    Product integrity requirements drive automated execution of 100s of simulations, with important implications for the IT infrastructure

    Average HPC infrastructure for

    ANSYS in our largest customers is

    well over 10,000 cores

    and growing very fast

  • 2012 ANSYS, Inc. April 26, 2012 4

    High-Performance Cluster Configurations for ANSYS Fluid Dynamics

    Todays Agenda and Speakers

    Best Practice Cluster System Specification Hari Reddy, Senior Technical Consultant, IBM

    IBM Solution Recommendations Guarav Chaudhry, X-Server WW Marketing, IBM William Lu, Product Management, Platform

    Computing, an IBM Company

    Question / Answer

  • 2012 ANSYS, Inc. April 26, 2012 5

    Best Practice Cluster System Specification

    Hari Reddy, Senior Technical Consultant, IBM

    [email protected]

  • 2012 ANSYS, Inc. April 26, 2012 6

    IBM IT Selection Guide for ANSYS Fluent

    Decision Points Cluster

    Collection of nodes Blade, Rack, High Density

    Network/Interconnect Interconnect type

    Processors/Socket/CPU Cores per socket

    CPU Cores Clock, TURBO, Hyper-Threading

    Memory (DIMMS, Channels) Size and distribution

    Storage Types of storage

    Resource Management Recommended Configurations

    Small, Medium, Large

  • 2012 ANSYS, Inc. April 26, 2012 7

    Impact of CPU Speed on ANSYS Fluent PerformanceProcessor: Xeon X5600 Series, 12 cores per node

    Hyper Threading: OFF, TURBO: ONModel: truck_14m

    (performance measure is improvement relative to CPU Clock 2.66 GHz)

    0.800.850.900.951.001.051.101.151.201.251.301.35

    Clock ratio 1 2 4

    Number of Nodes Allocated to a Single JobC

    lock

    Impr

    ovem

    ent

    rel

    to 2

    .67

    GH

    z

    2.66 GHz2.93 GHz3.47 GHz

    CPU Clock

    Decision point What CPU clock to use?

    Xeon X5600 clock range 2.67 GHz to 3.47 GHz (3.6 GHz)

    Always some improvement 5% to 10% well short of 30% or more clock

    ratio ANSYS Fluent specific

    Improves utilization of fixed number of licenses

    Recommendation Use Xeon X5675 (3.06 GHz, 95

    watt) Consider other parts of cluster for

    further investment before choosing fastest clock

    2012 IBM Corporation

  • 2012 ANSYS, Inc. April 26, 2012 8

    Turbo Boost Evaluation of TURBO Boost on ANSYS FLUENT 14.0

    Performance dx360 M3 (Intel Xeon x5670, 6 core, 2.93 GHz)

    Hyper Threading: OFF; Memory speed: 1333 MHz(performance measure is improvement relative to TURBO OFF)

    1.00

    1.02

    1.04

    1.06

    8 Cores (Quad core processor)

    12 Cores (6 core processor)

    Number of Cores Used in a Node

    TUR

    BO

    Boo

    st Im

    prov

    emen

    t .

    eddy_417K turbo_500K aircraft_2M sedan_4M truck_14M

    Evaluation of TURBO Boost on ANSYS FLUENT 14.0 Performance

    dx360 M3 (Intel Xeon x5670, 2.93 GHz) 4X QDR IBHyper Threading: OFF; Memory speed: 1333 MHz

    Model: Truck_14M(measurement is improvement relative to TURBO Boost OFF)

    100%

    102%

    104%

    106%

    1 2 4 8 16 32Number of Nodes Allocated to a single job

    TURB

    O Bo

    ost I

    mpr

    ovem

    ent

    .

    8 cores (quad core/processor)12 cores (6-cores/processor)

    Decision point TURN TURBO Boost ON or OFF?

    Intel Turbo Boost Technology 2.0 automatically allows processor cores to run faster than the base operating frequency if it is operating below power, current, and temperature specification limits

    More benefit when less cores are active the workloads are moderate

    TURBO gives Quad-core slightly more boost than 6-core

    In larger clusters, as the workload is spread over more nodes there are more opportunities for 6-core processors to achieve similar boost in performance as quad-core

    Recommendation Turbo Boost should always be turned

    on to get more performance

    2012 IBM Corporation

  • 2012 ANSYS, Inc. April 26, 2012 9

    Hyper-threading

    Evaluation of Hyperthreading on ANSYS Fluent 14.0 Performance

    iDataplex M3 (Intel Xeon x5670, 2.93 GHz)Networ: 4X QDR Infiniband

    TURBO BOOST: ON; Memory speed: 1333 MHzModel: Truck_14M

    80%

    85%

    90%

    95%

    100%

    105%

    110%

    115%

    120%

    1 2 4 8 16 32

    Number of Nodes Allocated to a Single job

    Impr

    ovem

    ent d

    ue to

    H

    yper

    thre

    adin

    g

    HT OFF (12 threads on 12 physical cores) HT ON (24 threads on 12 physical cores)

    Decision point Use Hyper-Threading or NOT?

    Intel Hyper-Threading (HT) Technology uses processor resources more efficiently, enabling two threads to run on each core App see twice the cores

    HT improves ANSYS Fluent performance by a small %

    Requires double the number of licenses Recommendation

    If the license configuration permits HT should be used to improve

    HW and SW utilization If the number of licenses is limited

    HT is not an efficient utilization of the licenses and is not recommended (HT may turned on but is used by ANSYS Fluent)

    2012 IBM Corporation

  • 2012 ANSYS, Inc. April 26, 2012 10

    ANSYS/FLUENT 14.0 Performance on Two-socket and 4-Sock2-Socket System: dx360 M3 (Intel Xeon x5670, 6C, 2.93 GHz)4-Socket System: System x3850 (Xeon E7-8837, 8C, 2.23 GHz)

    Hyperthreading: OFF, TURBO: ONModel: Truck_14m

    88

    188

    0

    20

    40

    60

    80

    100

    120

    140

    160

    180

    200

    2-socket (X5600) Node 4-Socket (E7-8837) NodeNumber of Sockets

    Flue

    nt R

    atin

    g (h

    ighe

    r is

    bette

    r)

    Number of Sockets

    Decision Point Use 2-socket or 4-socket systems?

    2-socket based system use X5600 series up to maximum of 12 cores per system

    4-socket systems use e7-8800 series up to a maximum of 40 cores per

    system; good scalability 32 cores (one 4-socket system) give

    performance equivalent to 24 cores (two 2-socket systems)

    Recommendation If the application can run within a single

    4-socket Use 4-socket based cluster No high-speed network is needed

    Otherwise use clusters made out of 2-socket based system

    High speed network needed

    Fluent Rating = Number of Benchmark jobs that can be run in 24 hours

    (higher values are better)

    2012 IBM Corporation

  • 2012 ANSYS, Inc. April 26, 2012 11

    ANSYS/FLUENT 14.0 Performance Quad-core vs. 6 Core Processors

    IBM dx360 M3 (Intel Xeon x5670, 6C, 2.93 GHz), 4X QDR IB Hyperthreading: OFF, TURBO: ON

    Cores per job: 96; Nodes are equally loadedModels: Sedan_4m

    6736

    8533

    4000

    5000

    6000

    7000

    8000

    9000

    6-core Processor (8 nodes)

    Quad-core Processor(12 nodes)

    Processor Density

    Flue

    nt R

    atin

    g (h

    ighe

    r is

    bette

    r)

    Processor Core Density Selection

    Decision Point Use quad-core or 6-core processors?

    Processors come in Quad and Hex cores Quad core processors have higher per core

    cache and memory bandwidth ANSYS Fluent runs 20% to 30% faster

    on quad-core based systems Improves productivity of fixed

    number of licenses Costs 50% more than 6-core based

    systems for the same total core count Recommendation

    If the primary goal is to improve productivity of licenses

    Used quad-core based systems If the total cluster cost is a primary

    consideration Use 6-core based systems

    Fluent Rating = Number of Benchmark jobs that can be run in 24 hours

    (higher values are better)

    2012 IBM Corporation

  • 2012 ANSYS, Inc. April 26, 2012 12

    Memory Configuration

    Impact of DIMM speed on ANSYS Fluent 14.0 Performance (Intel Xeon x5670, 6C, 2.93 GHz)

    Hyper Threading: OFF, TURBO: ONEach job uses all 12 cores

    80%

    85%

    90%

    95%

    100%

    105%

    110%

    115%

    120%

    eddy_417K turbo_500K aircraft_2M sedan_4M truck_14M

    ANSYS/FLUENT Model

    Impa

    ct o

    f Mem

    ory

    Spe

    ed

    1066 MHz1333 MHz

    Decision Point What it the most efficient memory config?

    Faster memory improves performance of ANSYS Fluent about 10%

    Xeon 5600 Series Processors/Memory can run at the maximum speed of 1333 MHz

    Memory should be configured properly Otherwise the memory may run at slower

    speeds of 1066 MHz or even at 800 MHz Recommendation

    To operate at maximum speed all memory channels in both processors should be populated with equal amounts of memory

    memory guidelines specify that total memory is in discrete amounts of 24 GB, 36 GB, 48 GB per node.

    24 GB memory per node is sufficient

    2012 IBM Corporation

  • 2012 ANSYS, Inc. April 26, 2012 13

    Networks

    Network Protocol Latency (micro sec)

    Bandwidth (Mbytes/sec)

    Gigabit TCP/IP 26 110

    10-Gigabit iWARP 8.4 1150

    4X QDR Infiniband

    VERBS or PSM

    1.6 3200

    ANSYS/FLUENT 14.0 Performance dx360 M3 (Intel Xeon x5670, 6C 2.93 GHz)

    Network: Gigabit, 10-Gigabit, 4X QDR Infiniband Hyperthreading: OFF, TURBO: ON

    Models: truck_14M

    0

    1000

    2000

    3000

    4000

    5000

    1 2 4 8 16 32 64Number of Nodes Allocated to a Single Job

    FLU

    ENT

    Rat

    ing

    4X QDR IB 10-Gigabit Gigabit

    Decision Point What network to use?

    Choices are 10 Gigabit and Infiniband Measures to evaluate

    Latency and bandwidth ANSYS Fluent is more sensitive to

    latency than bandwidth messages

  • 2012 ANSYS, Inc. April 26, 2012 14

    Infiniband Network

    12-Port Switch

    Link connecting switch elements

    Level 1

    Level 2

    24 Compute Servers

    Level 1

    Level 2

    24 Compute Servers

    2:1 Blocking Network

    1:1 Non-Blocking

    Link connecting server to switch

    Model Fluent Rating (Higher Values are better)

    Non-blocking 4:1 Blocking 8:1 Blocking

    Truck_14m

    329 327

    Eddy_417k 16255 16225

    Decision Point What type of Infiniband network?

    Several types of IB networks DDR, QDR, FDR so far, EDR next Bandwidth is the main differentiator

    Some improvement in latency ANSYS Fluent is more sensitive to

    latency than bandwidth Performance of FDR may not

    be commensurate with its cost

    ANSYS Fluent does not seem to be sensitive to blocking in Infiniband

    Recommendation Use 4X QDR Infiniband A blocking factor of 2:1 or even 4:1 PSM for qLogic/Intel VERBs for Voltaire/Mellanox

    Source: Intel/qLogic 2012 IBM Corporation

  • 2012 ANSYS, Inc. April 26, 2012 15

    ANSYS FLUENT Price Performance Analysis

    100%

    46%

    24%

    12%

    6% 2%3% 2%1 2 48

    16

    128

    32

    64

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    1 2 4 8 16 32 64 128Number of Nodes Allocated to a Single Job

    Tim

    e R

    el to

    1 N

    ode

    Run

    0

    16

    32

    48

    64

    80

    96

    112

    128

    Tota

    l Cos

    t rel

    to 1

    Nod

    e

    Time Rel to 1 Node Run HW Cost Rel to 1 Node

    Cluster Size (nodes)

    Feasible Performance-Price Spectrum

    Decision Point How to determine number of

    nodes in the cluster? Depends on a number of factors:

    Business value, budget Environment (space, power etc)

    Cluster size can be highly scalable but not feasible due to total cost and other factors

    Recommendation Determine the Feasible

    Performance-Price Spectrum Eliminating some obvious

    infeasible choices e.g. too big, too small,

    does not fit in the existing data center

    Conduct ROI Analysis on the promising candidates

    2012 IBM Corporation

  • 2012 ANSYS, Inc. April 26, 2012 16

    Storage Options

    ANSYS/FLEUNT I/O Performance on different storage solutions

    Cluster: dx360 M3 (Intel Xeon x5670, 2.93 GHz)Multiple simultaneous jobs - Each job using 96 cores

    20

    220

    420

    620

    820

    1020

    1220

    1420

    1620

    1 2 4Number of simultaneous jobs (each using 96 cores)

    Ave

    rage

    tota

    l I/O

    tim

    e (s

    ec)

    NFS (1Gbit)Local File SystemGPFS (Infiniband)

    The options are numerous Ranging from simple local disks to

    enterprise level storage Simple local file system to NFS to

    parallel file system (GPFS) One solution does not fit all NFS has some limitations but simple GPFS scalable and more complex A full webcast is planned to discuss the

    choices and recommendations Coming up in June

    2012 IBM Corporation

  • 2012 ANSYS, Inc. April 26, 2012 17

    Westmere/Sandy Bridge Comparison

    Westmere Sandy Bridge

    Processor X5600 series E5-2600 series

    Cores/processor 6 8

    Cores/system 12 16

    Specfp Rate (single system) 1.0 1.9

    Specint Rate (single system) 1.0 1.85

    Fluent (single system) 1.0 1.6

    Source: Intel.com

    2012 IBM Corporation

    Pack more compute power (performance) 32 nodes (12 cores each) of Westmere

    384 cores 32 nodes (16 cores each) Sandy bridge

    512 cores ~40 to 50% faster (estimate) More licenses

    Reduce the size of cluster (cost) 32 nodes (12 cores each) of Westmere

    384 cores 24 nodes (16 cores each) Sandy bridge

    384 cores ~10% to 20% faster (estimate) Same number of licenses

  • 2012 ANSYS, Inc. April 26, 2012 18

    Cluster Packaging

    2012 IBM Corporation

    Decision Point Rack, Blade, High Density server?

    ANSYS Fluent performance is not affected by what packaging you select

    Total freedom to choose the right packaging based on other factors Data center environment Budget

    A Recommendation For low entry point (one or two servers)

    Use rack server Small and Medium

    Use blade configuration Large

    Use high density configuration

    Capability Rack Blade High Density ANSYS Fluent Density (# servers/sq ft floor space)

    Low Medium High Not a factor

    Node Capabilities

    Lots of I/O options, memory

    Much less Much less Not a factor

    Processors speeds

    Top speed slightly more

    Little less Little less Not a factor

    Integration Less Moderate High Not a factor

  • 2012 ANSYS, Inc. April 26, 2012 19

    Recap

    2012 IBM Corporation

    Cluster Selection Concepts Decision points

    Best Practices Precise where possible Guidelines otherwise ANSYS Fluent specific

    Take other coexisting apps into consideration

    Technology Transition Intel Westmere Intel Sandy Bridge

    Next Steps Translate into real products Manage the cluster resources

  • 2012 ANSYS, Inc. April 26, 2012 20

    IBM System Recommendations

    Gaurav Chaudhry, System-X Worldwide Marketing, IBM

    [email protected]

    William Lu, Product Management, Platform Computing, an IBM Company

    [email protected]

  • 2012 ANSYS, Inc. April 26, 2012 21

    Recommended Configurations BladeCenter S

    Head Node/ File Server/ Compute Node1

    Compute Node 2 Compute Node 3 Compute Node 6

    Shared (NFS) BladeCenter S Storage

    SAS

    Conn

    ect

    Gig

    abit

    SMALL 2-Socket based Typical Users

    Several simultaneous single node jobs High speed interconnect is not required

    Size of each job under a few million cells Blade Center S (BC-S) with up to 6 HS22 blades

    HS22 - two Xeon X5675 3.06 GHz 6C - 48GB File System/Storage is through up to 12 SAS Drives in BC-S, NFS OS Support: RedHat, SuSe and Windows Access: through ANSYS Remote Simulation Manager, Platform LSF

    BladeCenter S

    Head Node/ File Server/ Compute Node1

    Compute Node 2 Compute Node 3

    Shared (NFS) BladeCenter S Storage

    SAS

    Conn

    ect

    Gig

    abit

    SMALL 4-Socket based Typical Users

    Several simultaneous larger single node jobs High speed interconnect is not required

    Size of each job up to ~10 million cells Blade Center S (BC-S) with up to 3 HX5 blades

    HX5 four Xeon E7-8837 3.06 GHz 8C - 128GB File System/Storage is through up to 12 SAS Drives in BC-S, NFS OS Support: RedHat, SuSe and Windows Access: through ANSYS Remote Simulation Manager, Platform LSF

    2012 IBM Corporation

  • 2012 ANSYS, Inc. April 26, 2012 22

    Recommended Configurations

    BladeCenter H

    Head Node/ File Server/ Compute Node1

    Compute Node 2 Compute Node 3 Compute Node 14

    (NFS) Storage DS3500

    SAS

    Gig

    abit

    10 G

    igab

    it

    Medium - 2-Socket based Typical Users

    Several simultaneous multi-node jobs Size of each job up to ~10 million cells

    Blade Center H (BC-H) with up to 14 HS22 blades (up to 168 cores)

    HS22 - two Xeon X5675 3.06 GHz 6C - 48GB Network: Gigabit, 10-Gigabit File System/Storage

    External DS3500 disk system with SAS connectivity NFS

    OS Support RedHat, SuSe and Windows

    Access: through ANSYS Remote Simulation Manager, Platform LSF

  • 2012 ANSYS, Inc. April 26, 2012 23

    Recommended Configurations

    iDataplex

    Head Node/ NFS File Server

    Compute Node 1 Compute Node 3 Compute Node 69

    SAS

    Gig

    abit

    GPFS Server 1 GPFS Server 2

    (NFS and GPFS) Storage DCS3700

    4X Q

    DR

    2:1

    bloc

    king

    Large - 2-Socket based Typical Users

    A large number of simultaneous multi-node ANSYS Fluent Solver Phase jobs

    One extreme-scale Solver Phase job using all nodes (using up to 828 cores)

    The size of each job can range from a few million to hundreds of millions

    iDataplex with up to 72 dx360 M3 nodes Dx360 M3 - two Xeon X5675 3.06 GHz 6C - 48GB

    Network: Gigabit, Infiniband File System/Storage

    External disk DCS3700 with SAS connectivity GPFS

    OS Support: RedHat, SuSe and Windows HPC Access: through ANSYS Remote Simulation Manager,

    Platform LSF

  • 2012 ANSYS, Inc. April 26, 2012 24

    Do more now in the datacenter you own today

    Key Features

    Integrated 10GbE Virtual Fabric for high speed networking

    Includes latest compute, network, and storage technology

    IBM FastSetup wizard tool for day 0 deployments

    Up to 18 networking ports of Ethernet, FCoE, and iSCSI

    Support for existing chassis infrastructure

    Benefits

    Lower cost Up to 30% savings for the solution3

    Enhanced performance4 62% more compute power, 20% more VMs

    Simple setup Accelerate time to value for deployment

    Breakthrough networking flexibility Built in support for multiple technologies

    Complete investment protection Add capability to existing investments

    3 Using integrated Virtual Fabric solution vs. separate components. 4 Source: Intel Corp.

    IBM BladeCenter HS23

  • 2012 ANSYS, Inc. April 26, 2012 25

    IBM System x3650 M4

    Benefits

    Performance Leadership in its class

    Business flexibility Optimize for performance and cost

    Advanced networking Optimize for performance and connectivity

    Reliable IT Highest level quality to safely run your business

    Key Features

    Up to 80% more performance5 for customers critical applications and top scores for SAP, OLTP and virtualization

    2.6x memory with up to 768 GB memory, full set of processors, 2.5 or 3.5 drives

    Twice the 1GbE ports and slotless 10GbE Virtual Fabric upgrade from multiple vendors and protocols

    #1 customer satisfaction from TBR6 due to features like Predictive Failure Analysis and Light Path Diagnostics

    Expandable 2U for business critical workloads

    5 Source: Intel Corp. 6 IBM has been ranked #1 in x86 server satisfaction from Technology Business Research for 10 straight quarters.

  • 2012 ANSYS, Inc. April 26, 2012 26

    IBM System x3550 M4

    Dense 1U for business critical workloads

    Key Features

    Up to 80% more performance for customers critical applications for up to 24:1 consolidation of 3 year old servers

    2.6x memory with up to 768 GB memory, full set of processors, 2.5 or 3.5 drives

    Twice the 1GbE ports and slotless 10GbE Virtual Fabric upgrade from multiple vendors and protocols

    #1 customer satisfaction from TBR due to features like Predictive Failure Analysis and Light Path Diagnostics

    Benefits

    High Performance Run more applications than ever before

    Business flexibility Optimize for performance and cost

    Advanced networking Optimize for performance and connectivity

    Reliable IT Leadership quality for distributed environments running critical workloads

    7 Source: Intel Corp. and the IBM Systems Consolidation Evaluation Tool. http://ibm.com/systems/x/resources/tools/sconevalltool_intel/index.html

  • 2012 ANSYS, Inc. April 26, 2012 27

    Ideal for distributed locations

    Key Features

    Up to 80% more performance for customers critical applications for up to 24:1 consolidation of 3 year old servers8

    4x memory with up to 768 GB memory, full set of processors, 2.5 or 3.5 drives

    Twice the 1GbE ports and 10GbE Virtual Fabric upgrade from mulitple vendors and protocols

    Up to 32 2.5 hard drives with flexible RAID in a tower or 5U rack design

    Benefits

    High Performance Run more applications than ever before

    Business flexibility Optimize for performance and cost

    Advanced networking Optimize for performance and connectivity

    Room to grow Massive internal storage and I/O for distributed environments

    8 Source: Intel Corp. and the IBM Systems Consolidation Evaluation Tool. http://ibm.com/systems/x/resources/tools/sconevalltool_intel/index.html

    IBM System x3500 M4

  • 2012 ANSYS, Inc. April 26, 2012 28

    High performance for power and cooling constrained environments

    Key Features

    Up to 120% more performance for HPC applications

    Up to 4 GPUs per chassis, 1.5x memory capacity, slotless InfiniBand networking

    Industry leading node level optional direct warm water cooling technology

    Available slotless InfiniBand or 10Gb Ethernet upgrade with a variety of vendors and protocols

    Benefits

    High Performance Run more applications than ever before

    Designed for HPC Outstanding performance for computationally intensive workloads

    High efficiency Up to 40% efficiency advantage over air cooled systems9

    Business flexibility Outstanding flexibility and performance for support of high performance solutions

    9 Compared with iDataPlex dx360 M4 systems without warm-water cooling.. 10 Source: Intel Corp.

    IBM System x iDataPlex dx360 M4

  • 2012 ANSYS, Inc. April 26, 2012 29

    IBM Intelligent Cluster

    Serv

    ers

    Inte

    rcon

    nect

    Ope

    rati

    ng

    Syst

    ems

    Man

    agem

    ent

    Soft

    war

    e

    Stor

    age

    IBM

    Ser

    vice

    s

    Intelligent cluster combines all haDavid G Walker/Raleigh/Contr/IBM@IBMUSrdware, software, services and support into a single integrated product offering, providing clients the benefit of a single point-of-contact for the entire cluster that is easily deployed and managed

    System x servers OEM IO Interconnects Storage Cabling Integration, configuration and testing Delivery, on-site setup and support

    Integrated Solution

    GPFS

    1/10/40Gb Eth QDR/FDR IB

  • 2012 ANSYS, Inc. April 26, 2012 30

    Management Software for System x Servers

    Fully integrated cluster management software for ease of deployment, ease of use, and ease of operation

  • 2012 ANSYS, Inc. April 26, 2012 31

    Integration with ANSYS applications

    ANSYS Remote Solver Manager Submit and manage ANSYS FLUENT jobs through ANSYS RSM with the integration of Platform LSF and Platform MPI

    Remote Visualization Integration Schedule and launch remote visualization sessions using Platform LSF and Platform Application Center

  • 2012 ANSYS, Inc. April 26, 2012 32

    Wrap Up / Next Steps

    Specifying a cluster for ANSYS simulation can be challenging; Let ANSYS and IBM help you succeed!

    Contact us: [email protected] [email protected] [email protected] [email protected]

    And look for our invitation to download the

    IBM IT Guide for ANSYS Fluent Customers

  • 2012 ANSYS, Inc. April 26, 2012 33

    Register Now:

    www.ansys.com/Confidence

    Confidence by Design Workshops

    Newark April 19

    Orlando May 2

    Minneapolis May 8

    Seattle May 15

    Chicago June 14

    Phoenix April 26

    Salt Lake City May 4

    San Diego May 8

    Boston May 17

    Houston June 20

    Denver May 2

    Baltimore May 7

    San Jose May 10

    Detroit June 5

  • 2012 ANSYS, Inc. April 26, 2012 34

    ANSYS Training

    Interested in Live Training Sessions with ANSYS Experts? Training classes are offered both locally and online. View the entire schedule at: http://www.ansys.com/Support/Training+Center Topics include: Introduction to ANSYS Mechanical Introduction to ANSYS DesignModeler Introduction to ANSYS FLUENT Introduction to ANSYS Icepak Introduction to ANSYS HFSS Introduction to ANSYS Explicit Dynamics Introduction to ANSYS ICEM CFD And Many More

  • 2012 ANSYS, Inc. April 26, 2012 35

    To Ask a Question:

    Click on the Q&A tab in the WebEx Toolbar

    Webinar Recording: Available in one weeks time in the

    ANSYS Resource Library at www.ansys.com/resource+library

  • 2012 ANSYS, Inc. April 26, 2012 36 2012 IBM Corporation

    System x

    36

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