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1 © 2014 ANSYS, Inc. May 22, 2014 ANSYS Confidential

Productivity Enabling Simulation Driven Product Development

Rodrigo Tasca Account Manager


Increasing Reliance on Simulations Today?

How Leaders Apply Technology

ANSYS Enabling Technologies

Comprehensive Simulation Solutions

Why?

Who?

How?

Examples

Predict with Confidence


Pre-Processing

Solving Performance

Post Solution

Workflow Automation

Where to Improve Productivity?


Pre-Processing

Solving Performance

Post Solution

Workflow Automation


CFD Meshes can be Categorized in 5 Classes

Class 1 Class 2 Class 3 Class 4 Class 5

Geometry Corruption Very High High Low Medium Medium

Geometry Complexity (# parts or bodies)

> 1,000 100 to 1,000 100 > 100 parts < 1,000

Typical Applications Automotive & Aerospace UTM

Any Any Any Aerospace, Turbo, Chemical

& Material Proc.

Customer Needs •Advanced and automated CAD cleanup •Rapid meshing

of large meshes •Mesh editing

capabilities

•Automated CAD cleanup • Meshing

automation • Fast meshing •Unstructured

hybrid mesh

•Automated and fast solution • Tet/prism

meshes

•Automated and fast solution • hex-dominant

meshes

•Mesh editing capabilities •High-quality

hex mesh

% of Applications


ANSYS Tools Span the Breadth of Meshing Requirements

Class 1 Class 2 Class 3 Class 4 Class 5

Geometry Corruption Very High High Low Medium Medium

Geometry Complexity (# parts or bodies)

> 1,000 100 to 1,000 100 > 100 parts < 1,000

Typical Applications Automotive & Aerospace UTM

Any Any Any Aerospace, Turbo, Chemical

& Material Proc.

% of Applications

Fluent Meshing

Workbench Meshing

ICEM CFD

SpaceClaim + Workbench Meshing


General-purpose meshing

• Enables Simulation Driven Product Development – Parametric, Persistent, Highly-

Automated, Flexible

• CAD-based meshing for moderately-complex geometries

Workbench Meshing


Shaping The Future: Process Compression

• Create 3D Models Quickly • Learn in Hours Instead Weeks • Modify All Popular CAD Formats • Optimize Designs Easily • Collaborate on Designs with Others


ANSYS SpaceClaim: Model Preparation for Analysis


Workbench Meshing : Faster & Leaner

0

1

2

14.5 15

Patch Conforming Tet Speed Memory

2x faster with 1/3 less memory

0

1

2

14.5 15

Sweep Speed

1.7x faster

0

1

2

14.5 15

Shell Speed Memory

1.4x faster with 60% less memory

0

1

2

14.5 15

MultiZone Speed

1.3x faster

Average of 10 real customer models


0

5

10

15

20

25

30

14.5

15 Serial

15 Parallel (12 Cores)

Workbench Part-by-Part Meshing Speed

Parallel Meshing : Fast & Scalable

Commercial Aircraft Engine (100 parts, 1000 bodies)

• 4x faster serial • 25x faster parallel

1 2

4

8

16

1 1.8

3.7

7.4

10.8

Spe

ed

up

CPU’s

Ideal

Fluent Meshing 15*

Fluent Distributed Parallel Meshing

Impressive parallel scalability


Pre-Processing

Solving Performance

Post Solution

Workflow Automation


HPC for Structural Mechanics


HDD vs. SSD

Maximizing Performance

The right combination of algorithms and hardware

leads to maximum efficiency

SMP vs. DMP

Interconnects Clusters

GPUs


• Adding More RAM and SSD

0.8x

2.9x 2.7x

5.9x 5.9x

0

1

2

3

4

5

6

7

2 cores, HDD 8 cores, HDD 8 cores, SSD

Re

lati

ve S

pe

ed

up

Benefits of SSD and RAM

16 GB RAM

128 GB RAM

• Turbine model • 2.1 million DOF • Nonlinear static analysis • Sparse solver (DMP) • Windows 7 workstation 16 Intel Xeon E5-2670 cores, one 10k rpm HDD, one SSD




• How to improve Performance

– First consider using newer, faster processors

• New CPU architecture and faster clock speeds always help

– Next consider using parallel processing (ANSYS HPC)

• DMP virtually always recommended over SMP! • More computations performed in parallel with DMP

• Significantly faster speedups achieved using DMP

• DMP can take advantage of all resources on a cluster

• Whole new class of problems can be solved!

– Consider using GPU acceleration

• Can help accelerate critical, time-consuming computations



• Turbine model • 2.1 million DOF • Nonlinear static analysis • Sparse solver (DMP) • Windows 7 workstation 16 Intel Xeon E5-2670 cores, 128 RAM, Tesla K20c

1.8x

4.0x

11.0x

0

2

4

6

8

10

12

2 cores 8 cores 8 cores, GPU

Re

lati

ve S

pe

ed

up

Benefits of DMP and GPU

Xeon x5675

Xeon E5-2670


2.6x

3.8x

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

4.5

2 cores 8 cores 8 cores

Re

lati

ve S

pe

ed

up

GPU Performance

(no GPU) (no GPU)

• 6.5 million DOF • Linear static analysis • Sparse solver (DMP) • 2 Intel Xeon E5-2670 (2.6 GHz, 16 cores total), 128 GB RAM, SSD, 4 Tesla C2075, Win7

• GPUs can offer significantly faster time to solution

(1 GPU)

Maximizing Performance GPU Acceleration Capability

Supported hardware: • NVIDIA Tesla 20-series (1U) cards • NVIDIA Tesla K10 and K20 series cards • NVIDIA Quadro 6000 card • NVIDIA Quadro K5000 • NVIDIA Quadro K6000


R15.0 GPU Acceleration Capability

• Intel Xeon Phi coprocessors are now supported! – Significant speedups can be achieved with single Xeon Phi card

3.3x

4.3x

5.1x

6.0x 6.8x

0

1

2

3

4

5

6

7

8

1 core 2 cores 4 cores 8 cores 16 cores

Spe

ed

up

Xeon Phi Acceleration (SMP)

CPU cores only

CPU cores + Xeon Phi

• Turbine model • 2.1 million DOF • SOLID187 elements • Nonlinear static analysis • Linux workstation (2 Intel Xeon E5-2670, 7120A Xeon Phi, 64 GB RAM)


0

10

20

30

40

50

60

8 cores 16 cores 32 cores 64 cores 128 cores

Rat

ing

(ru

ns/

day

)

Interconnect Performance

Gigabit Ethernet

DDR Infiniband

• Turbine model • 2.1 million DOF • SOLID187 elements • Nonlinear static analysis • Sparse solver (DMP) • Linux cluster (8 cores per node)

Maximizing Performance Distributed ANSYS Performance

• Need fast interconnects to feed fast processors


HPC for CFD


Take Advantage of the Latest Processors - ANSYS Fluent

Current processors are up to 2.49X faster

than processors that are 3 years old

Intel® Xeon® processor E5-2697v2 is up to 4.64X faster

than an entry-level workstation with a single processor


HPC Best Practice

Baseline Computing Hardware Configuration

Processors and Cores Memory GPUs Hard Disks

Dual Intel Xeon E5-2650 v2 (2.6 GHz) – 16 cores in total Turbo-boost ON Hyperthreading OFF

128 GB (8x16GB) Fastest memory (1866 MHz)

Graphics card: NVIDIA Quadro K600 For Fluent solver: NVIDIA Tesla K40 or NVIDIA Quadro K6000 For Mechanical: NVIDIA Tesla K20x

For CFD: 3x600GB 15K SAS RAID 0 For Mechanical: OS: 512GB SSD SATA Scratch: 2x512GB SSD RAID 0


Sedan Model

Sedan geometry

3.6M mixed cells

Steady, turbulent

External aerodynamics

Coupled PBNS, DP

CPU: Intel Xeon E5-2680;

8 cores

GPU: 2 X Tesla K40

CPU + GPU

Segregated solver

1.9x

Higher is

Better

Coupled solver

CPU only CPU only

15 Jobs/day

12 Jobs/day

27 Jobs/day

Convergence criteria: 10e-03 for all variables; No of iterations until convergence: segregated CPU-2798 iterations (7070 secs); coupled CPU-967 iterations (5900 secs); coupled 985 iterations (3150 secs)

NOTE: Times for total solution until convergence

ANSYS Fluent 15.0 - Faster Coupled Solver with GPUs


Take Advantage of HPC

Parallel Efficiency Improvements by Release

Continuous development effort to improve HPC scaling in Fluent

• Segregated implicit solver • Scalable at ~10K cells per core!

0

500

1000

1500

2000

2500

3000

3500

4000

0 2048 4096 6144 8192 10240 12288

Rat

ing

Number of Cores

13.0.0

14.0.0

15.0.0

Rating is jobs per day. A higher rating means faster performance.

Truck_111M Turbulent Flow

0

100

200

300

400

500

600

700

800

900

1000

0 2048 4096 6144 8192 10240 12288 14336

Rat

ing

Number of Cores

DLR_96M LES Combustion

R15.0

Ideal

• Pressure based coupled solver • Scalable at ~10K cells per core!

Scaling Improvements at 10,000+ Cores Yield Benefits for Smaller Jobs!


R&D effort to improve HPC scaling in CFX • Basic & physics specific scaling areas

• Significantly improved scalability

– Up to 89% efficiency at 2048 cores

– HPC improvements are “beta” level for R15.0

4X faster

Courtesy Siemens AG, Müllheim, Germany, Paper GT2013-94639

5X faster

• Six Stage Axial Compressor • 13M nodes • 14 domains, 12 mixing planes

• Duct case • 150M nodes

Take Advantage of HPC

Parallel Efficiency Improvements by Release


HPC Configuration - Easy to Set-up

ANSYS Mechanical ANSYS CFX ANSYS Fluent


HPC Scale-Up - A Typical HPC Growth Path

Cluster Users Desktop User Workstation and/or

Server Users

Cloud Solution


Desktop

RSM as a scheduler RSM as a transport mechanism

• Submits to RSM itself.

• Unit recognition: jobs (e.g. a run of a solver such as CFX, Fluent or Mechanical)

• Submits through RSM to a high-level scheduler such as LSF, PBS Pro, Windows HPC Server 2008 R2 / 2012, and Univa Grid Engine (at R15.0).

• Unit recognition: cores

Server Cluster (with 3rd party scheduler)

Take Advantage of Shared Compute Resources

ANSYS Remote Solve Manager (RSM)


Pre-Processing

Solving Performance

Post Solution

Workflow Automation


Users (Remote/Mobile)

Enterprise datacenter or cloud

Work in Progress data

Graphics server

Compute cluster Batch jobs

ANSYS EKM Web/Mobile UI

Browser access

Remote Display Interactive jobs

• Web & mobile UI • Interactive remote display

with 3D graphics • Detach/Re-attach • Open: ANSYS / non-ANSYS

applications

• Search & Retrieve • Light Weight Visualization • Security & Access Controls • PLM Integration • Open: ANSYS / non-ANSYS

applications

• Job submission templates • Access to interactive controls • Support for leading schedulers

and resource managers • Open: ANSYS / non-ANSYS

applications

Data Management Job Management Mobility & Remote Access

Take Advantage of Enterprise HPC Collaboration Platform

ANSYS EKM 15.0

FEW Words on EKM


Purpose Use Case

• Reuse • What if

Studies

User- Jack(Expert) saves WB project to central repository

Another Expert User • Want to reuse

Non-expert

• File Search • Collaboration • Remote Access

Few Words on EKM:

REMOTE


Purpose Use Case


Studies



Non-expert

• WB Project Navigation from Web Browser

Few Words on EKM:

REMOTE


Purpose Use Case


Studies



Non-expert

• User provides new inputs in the browser and executes the job

Few Words on EKM:

JOB SUBMISSION


Batch Launch of ANSYS/Non ANSYS Jobs

Define Job Name

Few Words on EKM:

JOB SUBMISSION



Define Job Settings

Remote graphics server

WIP Data

Datacenter

Compute cluster

Submit/Run Job

EKM

Few Words on EKM:

JOB SUBMISSION



Monitor Data And Job

Review transcript/log files

Check Status

Few Words on EKM:

MONITOR


Mobile Devices

Few Words on EKM:

MOBILITY


Remote Interactive Launch of ANSYS/Non ANSYS Applications

Remote graphics server

WIP Data

Datacenter

EKM

Compute cluster

Few Words on EKM:

REMOTE VISUALIZATION


Few Words on EKM:

REMOTE VISUALIZATION


Pre-Processing

Solving Performance

Post Solution

Workflow Automation


Illustration: ► Change the geometry ► Update the project ► Entire project updates in batch mode

ANSYS Workbench Enables… Automated Simulations


Parameters are defined in the applications; managed at the project level

Independent configurations are managed as “design points”

ANSYS Workbench Enables… Parametric Simulations

Automated and Intuitive Physics Coupling


• There are several types of parameters:

– Geometry (CAD) parameters

– Material properties

– Mesh controls

– Loads/Boundary conditions

– Output parameters

• Once set-up these parameters can be defined manually in the Design Point table (for “what-if” studies) or automatically driven by DesignXplorer for DOE and optimization studies

• All phases of the project can be updated automatically for each set of parameters with no need for scripting

ANSYS Workbench Enables… Parametric Simulations


Local updates of geometry Access to CAD, local failure control.

ANSYS Remote Solve Manager interfaces with commercial

job schedulers

ANSYS Workbench Parametric Design Point job handling capability • leverages our drag-and-drop, parametric platform • 12.0 – auto-update, sequential, single machine • 13.0 – auto-update, sequential, remote machine • 14.0 – auto-update, simultaneous, remote • 14.5 – simultaneous solve licensing!

License Checkout

Held

ANSYS Workbench Enables… Parametric Design Point Simulations


Number of Simultaneous Design Points Enabled

Scalable, like ANSYS HPC Packs

– Enhances the customer’s ability to include many design points as part of a single study

64

2

8

Number of HPC Parametric Pack Licenses

1

4

16

32

3 4 5

Amplifies complete workflow

– Allow users to run n design points simultaneously, multiplying the “base” license(s)

– Design points can include execution of multiple products (pre, meshing, solve, HPC, post)

Requirements

– Parameters need to be in ANSYS Workbench

– Sequential execution of geometry updates

ANSYS Workbench Enables… ANSYS HPC Parametric Pack Licensing at R14.5


Time to Insight

sequential execution

Example: simulation of 4 design points

Need Time!

License Costs

$ $

$

$

$

1 serial license

simultaneous execution

4 serial licenses

$

$

2 serial licenses

1 HPC Parametric Pack

1 serial license +

$

$

Shorten Time to Design Insight at Lower Costs!

ANSYS Workbench Enables… “Game Changing” Time to Design Insight


Time to Insight

sequential execution

Example: simulation of 4 design points License Costs

$ $

$

$

$

1 serial license

simultaneous execution

4 serial licenses

$

$

2 serial licenses

$

$

1 HPC Parametric Pack

1 serial license + HPC +

$

$

$

Add HPC and Reduce Time to Design Insight

Even More, at Lower Costs!

ANSYS Workbench Enables… “Game Changing” Time to Design Insight


Complete and Automated Workflow

DX

ANSYS Workbench

Solvers

Perfect Combination for Productivity

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