High-Performance Cluster Configurations for ANSYS Fluid ... · IBM dx360 M3 (Intel Xeon x5670, 6C,...
Transcript of High-Performance Cluster Configurations for ANSYS Fluid ... · IBM dx360 M3 (Intel Xeon x5670, 6C,...
© 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 100’s 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
Today’s 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
© 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 <1K can be as high
as 80% on large networks ANSYS Fluent performance is comparable
on both 10-Gigibit and Infiniband for small clusters
– Use direct access (e.g., iWARP) protocols for 10-Gigabit networks
Infiniband will optimize application performance resulting in better scalability for larger clusters Recommendation
– Use 10G for small clusters – Infiniband for larger clusters
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 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 4
8
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
William Lu, Product Management, Platform Computing, an IBM Company
© 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 servers¹
• 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 TBR² 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 applications¹
• 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]
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
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Chicago June 14
Phoenix April 26
Salt Lake City May 4
San Diego May 8
Boston May 17
Houston June 20
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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 week’s 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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