All Things ANSYS 012 – Live From New Mexico: A Look at What’s New in ANSYS 19

 

Published on: January 30, 2018
With: David Mastel, Joe Woodword, Manoj Mahendran, Matt Sutton, Michael Griesi, Tom Chadwick, Ted Harris, Eric Miller
Description: In this episode your host and Co-Founder of PADT, Eric Miller is joined by PADT’s David Mastel, Joe Woodword, Manoj Mahendran, Matt Sutton, Michael Griesi, Tom Chadwick, and Ted Harris, for a discussion on what is new and improved in the recently released ANSYS 19.
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Getting to Know PADT: Simulation Services

This is the fourth installment in our review of all the different products and services PADT offers our customers. As we add more, they will be available here.  As always, if you have any questions don’t hesitate to reach out to info@padtinc.com or give us a call at 1-800-293-PADT.

The A in PADT actually stands for Analysis.  Back in 1994 when the company was started, computer modeling for mechanical engineering was called Analysis. It was such an important part of what we wanted to achieve that we put it in the name.  Unfortunately, Analysis was a bit to generic so the industry switched to Numerical Simulation, or simply simulation. In the 23 years since we started, analysis… sorry, simulation, has been not just a foundation for what PADT does for our customers, it has become a defacto tool in product development.  Through it all there has been a dedicated group here that is focused on providing the best simulation as a service to customers around the world.

Driving Designs with Simulation

Many companies know about PADT with regards to simulation because we are an ANSYS Elite Channel Partner – selling and supporting the entire suite of ANSYS simulation tools in the Southwestern US. The success of simulation in the design and development of physical products is a direct result of the fact that these fantastic tools from ANSYS can be used to drive the design of products.  This can be done in-house by companies designing the products, or outsourced to experts. And that is where PADT has come in for hundreds of customers around the world.  The expertise we use to support and train on ANSYS products derives directly from our real world experience providing CFD, structural, thermal, electromagnetic, and multiphysics simulations to help those customers drive their product development.

For those not familiar with simulation, or who only use the basic tools embedded in CAD software as a quick check, understanding why it is so important hinges on understand what it really is. Numerical Simulation is a methodology where a physical product is converted into a computer model that represents its physical behavior.  This behavior can be many different physics: stresses, vibration, fluid flow, temperature flow, high frequency electromagnetic radiation, sloshing of liquids, deformation during impact, piezoelectric response, heating from static electromagnetic waves, cooling from air flow. The list goes on and on. Pretty much anything you studied in physics can be modeled using a numerical simulation.

The process of doing the simulation consists of taking the physical object and breaking it into discrete chunks, often very small relative to the size of the object, so that equations can easily be written for each chunk that describes the physical behavior of that chunk relative to the chunks around it.  Imagine writing equations for the fluid flow in a complicated valve housing, very hard to do. But if you break it up into about one million small polyhedrons, you can write an equation for flow in and out of each polyhedron. These equations are then assembled into a giant matrix and solved using linear algebra.  That is why we need such large computers.  We mostly use the world’s leading software for this, from ANSYS, Inc.

More than Building and Running Models

Knowing how to build and run finite element and CFD models is key to providing simulation as a service. PADT’s team averages over 18 years of experience and few people come close to their knowledge on geometry preparation, meshing, setting up loads and boundary conditions, leveraging the advantages of each solver, and post processing. That is a good starting point. But what really sets PADT apart is the understanding of how the simulation fits into product development, and how the information gathered from simulation can and should be used.  Instead of providing a number or a plot, PADT’s experienced engineers deliver insight into the behavior of the products being simulated.

How each project is conducted is also something that customers keep coming back for.  Nothing is ever “thrown over the wall” our passed through a “black box.” From quote through delivery of final report, PADT’s engineers work closely with the customer’s engineers to understand requirements, get to the heart of what the customer is looking for, and deliver useful and actionable information.  And if you have your own in-house simulation team, we will work closely with them to help them understand what we did so they can add it to their capabilities. In fact, one of the most popular simulation services offered by PADT is automation of the simulation process with software tools written on top of ANSYS products.  This is a fantastic way to leverage PADT’s experience and knowledge to make your engineers more efficient and capable.

Unparalleled Breadth and Depth

Based on feedback from our customers, the other area where PADT really stands out is in the incredible breadth and depth of capability offered.  Whereas most service providers specialize in one type of simulation or a single industry, more than twenty years of delivering high-end simulation to evaluate hundreds of products has given PADT’s team a unique and special level of understanding and expertise. From fluid flow in aerospace cooling systems to electromagnetics for an antenna in a smart toy, a strong theoretical understanding is combined with knowledge about the software tools to apply the right approach to each unique problem.

No where is this breadth and depth exemplified than with PADT’s relationship with ANSYS, Inc. Since the company was founded, PADT engineers have worked closely with ANSYS development and product management to understand these powerful tools better and to offer their advice on how to make them better.  And each time ANSYS, Inc. develops or acquires a new capability, that same team steps up and digs deep into the functionality that has been added. And when necessary, adding new engineers to the team to offer our customers the same expert access to these new tools.

 

The best way to understand why hundreds of companies, many of them large corporations that are leaders in their industry, come to PADT from around the world for their simulation services needs is to talk to us about your simulation services needs. Regardless of the industry or the physics, our team is ready to help you drive your product development with simulation. Contact us now to start the discussion.

 

Combining ANSYS Simulation with HPC

Engineering simulation has become much more prevalent in engineering organizations than it was even 5 years ago.  Commercial tools have gotten significantly easier to use whether you are looking at tools embedded within CAD programs or the standalone flagship analysis tools.  The driving force behind these changes are to ultimately let engineers and companies understand their design quicker with more fidelity than before.

Engineering simulation is one of those cliché items where everyone says “We want more!”  Engineers want to analyze bigger problems, more complex problems and even do large scale design of experiments with hundreds of design variations – and they want these results instantaneously.   They want to be able to quickly understand their designs and design trends and be able to make changes accordingly so then can get their products optimized and to the market quicker.

ANSYS, Inc. spends a significant amount of R&D in helping customers get their results quicker and a large component of that development is High Performance Computing, or HPC.  This technology allows engineers to solve their structural, fluid and/or electromagnetic analyses across multiple processors and even across multiple computing machines.  Engineers can leverage HPC on laptops, workstations, clusters and even full data centers.

PADT is fortunate to be working with Nimbix, a High Performance Computing Platform that easily allowed us to quickly iterate through different models with various cores specified.  It was seamless, easy to use, and FAST!

Let’s take a look at four problems: Rubber Seal FEA, Large Tractor Axle Model, Quadrocopter CFD model and a Large Exhaust CFD model.  These problems cover a nice spectrum of analysis size and complexity. The CAD files are included in the link below.

Click here to download geometry files that were used in the following benchmarks

TRACTOR AXLE FEA

This model has several parts all with contact defined and has 51 bolts that have pretension defined.  A very large but not overly complex FEA problem.  As you can see from the results, even by utilizing 8 cores you can triple your analysis throughput for a work day.  This leads to more designs being analyzed and validated which gives engineers the results they need quicker.

SUMMARY

  • 58 Parts
  • 51 x Bolts with Pretension
  • Gaskets
  • 928K Elements, 1.6M Nodes

Cores

Elapsed Time
[s]

Estimated Models Per 8 [hours]

2

14,525

2

4

9,710

3

8

5,233

6

16 4,009

7

 

RUBBER SEAL FEA

The rubber seal is actually a relatively small size problem, but quite complex.  Not only does it need full hyperelastic material properties defined with large strain effects included, it also includes a leakage test.  This will pressurize any exposed areas of the seal.  This will of course cause some deformation which will lead to more leaked surfaces and so on.  It basically because a pressure advancing solution.

From the results, again you can see the number of models that can be analyzed in the same time frame is signifcantly more.  This model was already under an hour, even with the large nonlinearity, and with HPC it was down to less than half an hour.

SUMMARY

  • 6 Parts
  • Mooney Rivlin Hyperelastic Material
  • Seal Leakage with Advancing Pressure Load
  • Frictional Contact
  • Large Deformation
  • 42K Elements, 58K Nodes

Cores

Elapsed Time
[s]
Estimated Models Per 8 [hours]

2

3,353

9

4

2,489

12

8 1,795

16

 


QUADROCOPTER DRONE CFD

The drone model is a half symmetry model that includes 2 rotating domains to account for the propellers.  This was ran as a steady state simulation using ANSYS Fluent.  Simply utilizing 8 cores will let you solve 3 designs versus 1.

SUMMARY

  • Multiple Rotating Domains
  • 2M Elements, 1.4M Nodes

Cores

Elapsed Time
[hours]
Speedup

2

2.1

1

4

1.2

1.8

6

0.8

2.6

8 0.7

3

 

EXHAUST CFD

The exhaust model is a huge model with 33 million elements with several complicated flow passages and turbulence.  This is a model that would take over a week to run using 1 core but with HPC on a decent workstation you can get that down to 1 day.  Leveraging more HPC hardware resources such as a cluster or using a cloud computing platform like Nimbix will see that drop to 3 hours.  Imagine getting results that used to take over 1 week that now will only take a few hours.  You’ll notice that this model scaled linearly up to 128 cores.  In many CFD simulations the more hardware resources and HPC technology you throw at it, the faster it will run.

SUMMARY

  • K-omega SST Turbulence
  • Multi-Domain
  • 33M Elements, 7M Nodes

Cores

Elapsed Time
[hours]
Speedup

16

26.8

1

32

13.0

2.1

64

6.8

3.9

96

4.3

6.2

128 3.3

8.2

As seen from the results leveraging HPC technology can be hugely advantageous.  Many simulation tools out there do not fully leverage solving on multiple computing machines or even multiple cores.  ANSYS does and the value is easily a given.  HPC makes large complex simulation more practical as a part of the design process timeline.  It allows for greater throughput of design investigations leading to better fidelity and more information to the engineer to develop an optimized part quicker.

If you’re interested in learning more about how ANSYS leverages HPC or if you’d like to know more about NIMIBX, the cloud computing platform that PADT leverages, please reach out to me at manoj@padtinc.com

 

When the going gets tough, the tough use ANSYS for CFD Meshing

If you do CFD simulations then you know the struggle that is involved in meshing. It is a fine balance of accuracy, speed, and ease of set up. If you have complex geometry, large assemblies, or any difficulty meshing then this blog article is for you.

Why should I spend time making a good mesh?

The mesh is arguably one of the most important parts of any simulation set up. A good mesh can solve significantly faster and provide more accurate results. Conversely, a poor mesh can make the simulation have inaccurate results and be slow to converge or not converge at all. If you have done any simulation then you know that hitting the solve button can feel like rolling the dice if you don’t have a robust meshing tool.

When is it going to matter?

A good mesh is going to matter on a Friday afternoon when you need to get the simulation started before you leave for the weekend because it takes two days to run and you need to deliver results on Monday but you are up against the clock because you have to get to your kid’s soccer game by 5pm and the mesh keeps crashing.

A poor mesh can do more than just reorganizing you’re social agenda. A poor mesh can drastically change results like pressure drop in an internal flow passage or drag over a body. If you go into that meeting on Monday and tell your boss that the new design is going to perform 10% better than the previous design – you need to be confident that the design is 10% better not 10% worse.

What should I do when I need to create a good mesh?

If you’re the poor soul reading this on a Friday afternoon because you are trying to frantically fix you’re mesh so you can get your simulation running before the weekend – I pity you. Continue reading for my proprietary step by step approach titled “How to get you’re CFD mesh back on track!” (Patent pending).

Step 1) Know your tools

ANSYS has been developing its meshing technology since the beginning of time (not really but almost) – it’s no surprise that its meshing algorithms are the best in the business. In ANSYS you have a large number of tools at your disposal, know how to use them.

The first tool in your toolbox is the ANSYS automatic meshing technology. It is able to predictively apply settings for your part to get the most accurate automatic mesh possible. It has gotten so good that the automatic mesh is a great place to start for any preliminary simulations. If you want to get into the details, ANSYS meshing has two main groups of mesh settings – Global Meshing Parameters and Local Meshing Parameters. Global mesh parameters are great for getting a good mesh on the entire model without going into detailed mesh settings for each part.

But when you do have to add detailed meshing settings on a part by part basis then local mesh settings won’t let you down.

Step 2) Know your physics

What is your primary result of interest? Drag? Pressure drop? Max velocity? Stagnation? If you can quantify what you are most interested in then you can work to refine the mesh in that region so as to capture the physics accurately. ANSYS allows you set local sizing parameters on bodies, faces, lines, and regions which allow you to get the most accurate mesh possible but without having to use a fine mesh on the entire part.

Step 3) Know your mesh quality statistics

Mesh quality statistics can be a good way to gauge the health of your mesh. They are not a foolproof method for creating a mesh that will be accurate but you will be able to get an idea of how well it will converge. In ANSYS meshing there is a number of mesh quality statistics at your fingertips. A quick and easy way to check your mesh is to look at the Minimum Orthogonal Quality statistic and make sure it is greater than 0.1 and Maximum Skewness is less than 0.95.

Step 4) Know your uncertainty

Every test, simulation, design, process etc… has uncertainty. The goal of engineering is to reduce that uncertainty. In simulation meshing is always a source of uncertainty but it can be minimized by creating high quality meshes that accurately model the actual physical process. To reduce the uncertainty in meshing we can perform what is called a mesh refinement study. Using the concept of limits we can say that in the limit of the mesh elements getting infinitely small than the results will asymptotically approach the exact solution. In the graph below it can be seen that as the number of elements in the model are increased from 500 – 1.5million the result of interest approached the dotted line which we can assume is close to the exact solution.

By completing a mesh refinement study as shown above you can be confident that the mesh you have created is accurately capturing the physics you are modeling because you can quantify the uncertainty.

If you currently just skip over the meshing part of your CFD analysis thinking that it’s good enough or if your current meshing tool doesn’t give you any more details than just a green check mark or a red X then it’s time dig into the details of meshing and start creating high quality meshes that you can count on.

For more info about advanced meshing techniques in ANSYS – see this PDF presentation that is a compilation of ANSYS training material on the meshing subject.

Advanced Techniques in ANSYS Meshing_Blog

If you still haven’t figured out how to get your mesh to solve and its 5pm on Friday see below*

*Common pitfalls and mistakes for CFD meshing:

  • Choose your turbulence model wisely and make sure your mesh meets the quality metrics for that model.
  • Make sure you don’t have boundary conditions near an area of flow recirculation. If you are getting reverse flows at the boundary then you need to move your boundary conditions further away from the feature that’s causing the flow to swirl in and out of the boundary.

Phoenix Business Journal: ​How do you get value out of Big Data? Simulation!

It’s all the rage. “Big Data!” fixes everything. There is a lot of hype around the value of knowing so much about so many things. The problem is very few people have figured out what to do with that data.  But leading technology companies like GE are using a proven tool to get value from all that great data.  In “How do you get value out of Big Data? Simulation!” I look at how numerical simulation can be used to create digital twins of what your products are doing in the real world, delivering huge benefits today.

ANSYS 17.2 Executable Paths on Linux


ansys-linux-penguin-1When running on a machine with a Linux operating system, it is not uncommon for users to want to run from the command line or with a shell script. To do this you need to know where the actual executable files are located. Based on a request from a customer, we have tried to coalesce the major ANSYS product executables that can be run via command line on Linux into a single list:

ANSYS Workbench (Includes ANSYS Mechanical, Fluent, CFX, Polyflow, Icepak, Autodyn, Composite PrepPost, DesignXplorer, DesignModeler, etc.):

/ansys_inc/v172/Framework/bin/Linux64/runwb2

ANSYS Mechanical APDL, a.k.a. ANSYS ‘classic’:

/ansys_inc/v172/ansys/bin/launcher172 (brings up the MAPDL launcher menu)
/ansys_inc/v172/ansys/bin/mapdl (launches ANSYS MAPDL)

CFX Standalone:

/ansys_inc/v172/CFX/bin/cfx5

Autodyn Standalone:

/ansys_inc/v172/autodyn/bin/autodyn172

Note: A required argument for Autodyn is –I {ident-name}

Fluent Standalone (Fluent Launcher):

/ansys_inc/v172/fluent/bin/fluent

Icepak Standalone:

/ansys_inc/v172/Icepak/bin/icepak

Polyflow Standalone:

/ansys_inc/v172/polyflow/bin/polyflow/polyflow < my.dat

Chemkin:

/ansys_inc/v172/reaction/chemkinpro.linuxx8664/bin/chemkinpro_setup.ksh

Forte:

/ansys_inc/v172/reaction/forte.linuxx8664/bin/forte.sh

TGRID:

/ansys_inc/v172/tgrid/bin/tgrid

ANSYS Electronics Desktop (for Ansoft tools, e.g. Maxwell, HFSS)

/ansys_inc/v172/AnsysEM/AnsysEM17.2/Linux64/ansysedt

SIWave:

/ansys_inc/v172/AnsysEM/AnsysEM17.2/Linux64/siwave

Simulation Driven Product Development with Free Form Fabrication

am-topo-prezo-titleJoining Two of PADT’s Favorite Things: Simulation and 3D Printing

Recent advances in Additive Manufacturing (3D Printing) have removed barriers to manufacturing certain geometry because of constraints in traditional manufacturing methods. Although you can make almost any shape, how do you figure out what shape to make. Using ANSYS products you can apply topological optimization to come up with a free-form shape that best meets your needs, and that can be made with Additive Manufacturing.

A few months ago we presented some background information on how to drive the design of this type of part using ANSYS tools to a few of our customers.  It was a well received so we cleaned it up a bit (no guarantee there all the typos are gone) and recorded the presentation.  Here it is on YouTube

Let us know what you think and if you have any questions or comments, please contact us.

Video Tips: Fluid Volume Extraction

This video shows a really quick and easy way to extract a fluid domain from a structural model without having to do any Boolean subtract operations.

CoresOnDemand: Helping Engineers Do Their Magic

CoresOnDemand-Logo-120hEngineers Do Magic

In the world of simulation there are two facts of life. First, the deadline of “yesterday would be good” is not too uncommon. Funding deadlines, product roll-out dates, as well as unexpected project requirements are all reliable sources for last minute changes. Engineers are required to do quality work and deliver reliable results in limited time and resources. In essence perform sorcery.

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Second, the size and complexity of models can vary wildly. Anything from fasteners and gaskets to complete systems or structures can be in the pipeline. Engineers can be looking at any combination of hundreds of variables that impact the resources required for a successful simulation.

Required CPU cores, RAM per core, interconnect speeds, available disk space, operating system and ANSYS version all vary depending on the model files, simulation type, size, run-time and target date for the results.

Engineers usually do magic. But sometimes limited time or resources that are out of reach can delay on-time delivery of project tasks.

At PADT, We Can Help

PADT Inc. has been nostrils deep in engineering services and simulation products for over 20 years. We know engineering, we know how to simulate engineering and we know ANSYS very well. To address the challenges our customers are facing, in 2015 PADT introduced CoresOnDemand to the engineering community.

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CoresOnDemand offers the combination of our proven CUBE cluster, ANSYS simulation tools and the PADT experience and support as an on demand simulation resource. By focusing on the specific needs of ANSYS users, CoresOnDemand was built to deliver performance and flexibility for the full range of applications. Specifics about the clusters and their configurations can be found at CoresOnDemand.com.

CoresOnDemand is a high performance computing environment purpose built to help customers address numerical simulation needs that require compute power that isn’t available or that is needed on a temporary basis.

Call Us We’re Nice

CoresOnDemand is a new service in the world of on-demand computing. Prospective customers just need to give us a call or send us an inquiry here to get all of their questions answered. The engineers behind CoresOnDemand have a deep understanding of the ANSYS tools and distributed computing and are able to asses and properly size a compute environment that matches the needed resources.

Call us we’re nice!

Two Halves of the Nutshell

The process for executing a lease on a CoresOnDemand cluster is quite straight forward. There are two parts to a lease:

PART 1: How many cores & how long is the lease for?

By working with the PADT engineers – and possibly benchmarking their models – customers can set a realistic estimate on how many cores are required and how long their models need to run on the CoresOnDemand clusters. Normally, leases are in one-week blocks with incentives for longer or regular lease requirements.

Clusters are leased in one-week blocks, but we’re flexible.

Part 2: How will ANSYS be licensed?

An ANSYS license is required in order to run on the CoresOnDemand environment.  A license lease can be generated by contacting any ANSYS channel partner. PADT can generate license leases in Arizona, Colorado, New Mexico, Utah & Nevada. Licenses can also be borrowed from the customer’s existing license pool.

An ANSYS license may be leased from an ANSYS channel partner or borrowed from customer’s existing license pool.

Using the Cluster

Once the CoresOnDemand team has completed the cluster setup and user creation (takes a couple of hours for most cases), customers can login and begin using the cluster. The CoresOnDemand clusters allow customers to use the connection method they are comfortable with. All connections to CoresOnDemand are encrypted and are protected by a firewall and an isolated network environment.

Step 1: Transfer files to the cluster:

Files can be transferred to the cluster using Secure Copy Protocol which creates an encrypted tunnel for copying files. A graphical tool is also available for Windows users (& it’s freeJ). Also, larger files can be loaded to the cluster manually by sending a DVD, Blu-ray disk or external storage device to PADT. The CoresOnDemand team will mount the volume and can assist in the copying of data.

Step 2: Connect to the cluster and start jobs

Customers can connect to the cluster through an SSH connection. This is the most basic interface where users can launch interactive or batch processing jobs on the cluster. SSH is secure, fast and very stable. The downside of SSH is that is has limited graphical capabilities.

Another option is to use the Nice Software Desktop Cloud Visualization (DCV) interface. DCV provides enhanced interactive 2D/3D access over a standard network. It enables users to access the cluster from anywhere on virtually any device with a screen and an internet connection. The main advantage of DCV is the ability to start interactive ANSYS jobs and monitor them without the need for a continuous connection. For example, a user can connect from his laptop to launch the job and later use his iPad to monitor the progress.

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Figure 1. 12 Million cell model simulated on CoresOnDemand

The CoresOnDemand environment also has the Torque resource manager implemented where customers can submit multiple jobs to a job queue and run them in sequence without any manual intervention.

Customers can use SCP or ship external storage to get data on the cluster. SSH or DCV can be used to access the cluster. Batch, interactive or Torque scheduler can be used to submit and monitor jobs.

All Done?

Once the simulation runs are completed customers usually choose one of two methods to transfer data back. First is to download the results over the internet using SCP (mentioned earlier) or have external media shipped back (External media can be encrypted if needed).

After the customer receives the data and confirms that all useful data was recovered from the cluster, CoresOnDemand engineers re-image the cluster to remove all user data, user accounts and logs. This marks the end of the lease engagement and customers can rest assured that CoresOnDemand is available to help…and it’s pretty fast too.

At the end of the lease customers can download their data or have it shipped on external media. The cluster is later re-imaged and all user data, accounts & logs are also deleted in preparation for the next customer.

CoresOnDemand-Advert-Rect-360w

Five Ways CoresOnDemand is Different than the Cloud

CoresOnDemand-Logo-120hIn a recent press release, PADT Inc. announced the launch of CoresOnDemand.com. CoresOnDemand offers CUBE simulation clusters for customers’ ANSYS numerical simulation needs. The clusters are designed from the ground up for running ANSYS numerical simulation codes and are tested and proven to deliver performance results.

CoresOnDemand_CFD-Valve-1

POWERFUL CLUSTER INFRASTRUCTURE

The current clusters available as part of the CoresOnDemand offering are:
1- CoresOnDemand – Paris:

80-Core Intel based cluster. Based on the Intel Xeon E5-2667 v.2 3.30GHz CPU’s, the cluster utilizes a 56Gbps InfiniBand Interconnect and is running a modified version of CentOS 6.6.

CoresOnDemand-Paris-Cluster-Figure

2- CoresOnDemand – Athena:

544-Core AMD based cluster. Based on the AMD Opteron 6380 2.50GHz CPU’s the cluster utilizes a 40Gbps InfiniBand Interconnect and is running a modified version of CentOS 6.6.

CoresOnDemand-Athena-Cluster-Figure

Five Key Differentiators

The things that make CoresOnDemand different than most other cloud computing providers are:

  1. CoresOnDemand is a non-traditional cloud. It is not an instance based cluster. There is no hypervisor or any virtualization layer. Users know what resources are assigned exclusively to them every time. No layers, no emulation, no delay and no surprises.
  2. CoresOnDemand utilizes all of the standard software designed to maximize the full use of hardware features and interconnect. There are no layers between the hardware and operating system.
  3. CoresOnDemand utilizes hardware that is purpose built and benchmarked to maximize performance of simulation tools instead of a general purpose server on caffeine.
  4. CoresOnDemand provides the ability to complete high performance runs on the compute specialized nodes and later performing post processing on a post-processing appropriate node.
  5. CoresOnDemand is a way to lease compute nodes completely and exclusively for the specified duration including software licenses, compute power and hardware interconnect.

CoresOnDemand is backed up by over 20 years of PADT Inc. experience and engineering know-how. Looking at the differentiating features of CoresOnDemand, it becomes apparent that the performance and flexibility of this solution are great advantages for addressing numerical simulation requirements of any type.

To learn more visit www.coresondemand.com or fill out our request form.

Or contact our experts at coresondemand@padtinc.com or 480.813.4884 to schedule a demo or to discuss your requirements.

CoresOnDemand-ANSYS-CUBE-PADT-1

Announcing CoresOnDemand.com – Dedicated Compute Power when you Need It

CoresOnDemand-Logo-120hWe are pleased to announce a new service that we feel is remote solving for FEA and CFD done right: CoresOnDemand.com.  We have taken our   proven CUBE Simulation Computers and built a cluster that users can simply rent.  So you get fast hardware, you get it all to your self, and you receive fantastic support from the ANSYS experts at PADT.

It is not a time share system, it is not a true "cloud" solution.  You tell us how many nodes you need and for how long and we rent them to you. You can submit batch or you can configure the machines however you need them.  Submit on the command line, through a batch scheduler, or run interactive. And when you are done, you do not have to send your files back to your desktop. We've loaded NICE DCV so you can do graphics intense pre- and post-processing from work or home, over the internet to our head nodes.  You can even work through your iPad.

CUBE-HVPC-512-core-closeup3-1000h

If you visit our Blog page a lot, you may have noticed the gray cloud logo with a big question mark next to it. If you guessed that was a hint that we were working on a cloud solution for ANSYS users, you were correct. We've had it up and running for a while but we kept "testing" it with  benchmarks for people buying CUBE computers. Plus we kept tweaking the setup to get the best user experience possible.  With today's announcement we are going live.

We created this service for a simple reason. Customers kept calling or emailing and asking if they could rent time on our machines.  We got started with the hardware but also started surveying and talking to users. Everyone is talking about the cloud and HPC, but we found few providers understood how to deliver the horsepower people needed in a usable way, and that users were frustrated with the offerings they had available. So we took our time and built a service that we would want to use, a service we would find considerable value in.

simulation-hardware ansys-expertise dependability

You can learn more by visiting www.CoresOnDemand.com. Or by reading the official press release included below. To get your started, here are some key facts you should know:

  1. We are running PADT CUBE computers, hooked together with infiniband. They are fast, they are loaded with RAM, and they have a ton of disk space. Since we do this type of solving all the time, we know what is needed
  2. This is a Bring Your Own License (BYOL) service. You will need to lease the licenses you need from whoever you get your ANSYS from.  As an ANSYS Channel partner we can help that process go smoothly.
  3. You do not share the hardware.  If you reserve a node, it is your node. No one else but your company can log in.  You can rent by the week, or the day.
  4. When you are done, we save the data you want us to save and then wipe the machines.  If you want us to save your "image" we can do that for a fee so next time you use the service, we can restore it to right where you were last time.
  5. Right now we are focused on ANSYS software products only. We feel strongly about focusing on what we know and maximizing value to the customers.
  6. This service is backed by PADT's technical support and IT staff. You would be hard pressed to find any other HPC provider out there who knows more about how to run ANSYS Mechanical, ANSYS Mechanical APDL, ANSYS FLUENT, ANSYS CFX, ANSYS HFSS, ANSYS MAXWELL, ANSYS LS-DYNA, ANSYS AUTODYN, ICEM CFD, and much more.

To talk to our team about running your next big job on CoresOnDemand.com contact us at 480-813-4884 or email cod@padtinc.com

CoresOnDemand-ANSYS-CUBE-PADT-1

See the official Press Release here

Press Release:

CoresOnDemand.com Launches as Dedicated ANSYS Simulation
High Performance Cloud Compute Resource 

PADT launches CoresOnDemand.com, a dedicated resource for users who need to run ANSYS simulation software in the cloud on optimized high performance computers.

Tempe, AZ – April 29, 2015 – Phoenix Analysis & Design Technologies, Inc. (PADT), the Southwest’s largest provider of simulation, product development, and 3D Printing services and products, is pleased to announce the launch of a new dedicated high performance compute resource for users of ANSYS simulation software – CoresOnDemand.com.  The team at PADT used their own experience, and the experience of their customers, to develop this unique cloud-based solution that delivers exceptional performance and a superior user experience. Unlike most cloud solutions, CoresOnDemand.com does not use virtual machines, nor do users share compute nodes. With CoresOnDemand.com users reserve one or more nodes for a set amount of time, giving them exclusive access to the hardware, while allowing them to work interactively and to set up the environment the way they want it.

The cluster behind CoresOnDemand.com is built by PADT’s IT experts using their own CUBE Simulation Computers (http://www.padtinc.com/cube), systems that are optimized for solving numerical simulation problems quickly and efficiently. This advantage is coupled with support from PADT’s experienced team, recognized technical experts in all things ANSYS. As a certified ANSYS channel partner, PADT understands the product and licensing needs of users, a significant advantage over most cloud HPC solutions.

“We kept getting calls from people asking if they could rent time on our in-house cluster. So we took a look at what was out there and talked to users about their experiences with trying to do high-end simulation in the cloud,” commented Eric Miller, Co-Owner of PADT. “What we found was that almost everyone was disappointed with the pay-per-cpu-second model, with the lack of product understanding on the part of the providers, and mediocre performance.  They also complained about having to bring large files back to their desktops to post-process. We designed CoresOnDemand.com to solve those problems.”

In addition to exclusive nodes, great hardware, and ANSYS expertise, CoresOnDemand.com adds another advantage by leveraging NICE Desktop Cloud Visualization (https://www.nice-software.com/products/dcv) to allow users to have true interactive connections to the cluster with real-time 3D graphics.  This avoids the need to download huge files or running blind in batch mode to review results. And as you would expect, the network connection and file transfer protocols available are industry standards and encrypted.

The initial cluster is configured with Intel and AMD-based CUBE Simulation nodes, connected through a high-speed Infiniband interconnect.  Each compute node has enough RAM and disk space to handle the most challenging FEA or CFD solves.  All ANSYS solvers and prep/post tools are available for use including: ANSYS Mechanical, ANSYS Mechanical APDL, ANSYS FLUENT, ANSYS CFX, ANSYS HFSS, ANSYS MAXWELL, ANSYS LS-DYNA, ANSYS AUTODYN, ICEM CFD, and much more. Users can serve their own licenses to CoresOnDemand.com or obtain a short-term lease, and PADT’s experts are on hand to help design the most effective licensing solution.

Pre-launch testing by PADT’s customers has shown that this model for remote on-demand solving works well.  Users were able to log in, configure their environment from their desktop at work or home, mesh, solve, and review results as if they had the same horsepower sitting right next to their desk.

To learn more about the CoresOnDemand: visit http://www.coresondemand.com, email cod@padtinc.com, or contact PADT at 480.813.4884. 

About Phoenix Analysis and Design Technologies

Phoenix Analysis and Design Technologies, Inc. (PADT) is an engineering product and services company that focuses on helping customers who develop physical products by providing Numerical Simulation, Product Development, and Rapid Prototyping solutions. PADT’s worldwide reputation for technical excellence and experienced staff is based on its proven record of building long term win-win partnerships with vendors and customers. Since its establishment in 1994, companies have relied on PADT because “We Make Innovation Work. “  With over 75 employees, PADT services customers from its headquarters at the Arizona State University Research Park in Tempe, Arizona, and from offices in Littleton, Colorado, Albuquerque, New Mexico, and Murray, Utah, as well as through staff members located around the country. More information on PADT can be found at http://www.PADTINC.com.

You will be Surprised Where Sneeze Germs Travel in an Airplane

sneezing-in-airplane-300x279Ever been on a flight, hear someone sneeze, and then sit in fear as you imagine millions of tiny infectiousness germs laughing historically as they spread through the cabin of the plane?  In my imagination they are green and drip mucus. In reality they are small liquid particles and instead of going everywhere, it appears they fall on just a few unlucky people. 

ANSYS, Inc.  put out a very cool video showing the results of an in-cabin CFD run done by Purdue University that tracks the pathogens as they leave the sick persons mouth, get caught in the climate control system’s air stream, and waft right on the people next to and behind them.  The study was done for the FAA Center for Excellence for Airliner Cabin Environment Research.   

Here is the video, check it out and share with your friends. Especially if you have a friend that doesn’t sneezes out into the open air:

Visit the ANSYS Blog to learn even more.

#betterlivingthroughsimulation

Getting to know ANSYS – Icepak

As part of our “Getting to know ANSYS” video series, this video is an introduction to ANSYS Icepak – an electronics thermal analysis package in the ANSYS Product Suite.
 

Part 2: ANSYS FLUENT Performance Comparison: AMD Opteron vs. Intel XEON

AMD Opteron 6308, INTEL XEON e5-2690 & INTEL XEON e5-2667V2 Comparison using ANSYS FLUENT 14.5.7

Note: The information and data contained in this article was complied and generated on September 12, 2013 by PADT, Inc. on CUBE HVPC hardware using FLUEN 14.5.7.  Please remember that hardware and software change with new releases and you should always try to run your own benchmarks, on your own typical problems, to understand how performance will impact you.

By David Mastel

Due to the response to the original article on this subject,  I thought it would be good to do a quick follow-up using one of our latest CUBE HVPC builds. Again, the ANSYS Fluent standard benchmarks were used in garnering the stats on this dual socket INTEL XEON e5-2667V2 configuration.

CUBE HVPC Test configurations (Same as in last comparison)

  • Server 1: CUBE HVPC c16
  • CPU: 4, AMD Opteron 6308 @ 3.5GHz (Quad Core)
  • Memory: 256GB (32x8G) DDR3-1600 ECC Reg. RAM (1600MHz)
  • Hardware RAID Controller: Supermicro AOC-S2208L-H8iR 6Gbps, PCI-e x 8 Gen3
  • Hard Drives: Supermicro HDD-A0600-HUS156060VLS60 – Hitachi 600G SAS2.0 15K RPM 3.5″
  •  OS: Linux 64-bit / Kernel 2.6.32-358.18.1.e16.x86_64
  • App: ANSYS FLUENT 14.5.7
  • MPI: Platform MPI
  • HCA: SMC AOC-UIBQ-M2 – QDR Infiniband
    • The IB card installed however solves were run distributed locally
  • Switch: MELLANOX IS5023 Non-Blocking 18-port switch

Server 2: CUBE HVPC c16i (Intel server from last comparison)

  • CPU: 2, INTEL XEON e5-2690 @ 2.9GHz (Octa Core)
  • Memory: 128GB (16x8G) DDR3-1600 ECC Reg. RAM (1600MHz)
  • RAID Controller: Supermicro AOC-S2208L-H8iR 6Gbps, PCI-e x 8 Gen3
  • Hard Drives: Supermicro HDD-A0600-HUS156060VLS60 – Hitachi 600G SAS2.0 15K RPM 3.5″
  • OS: Windows 7 Professional 64-bit
  • App: ANSYS FLUENT 14.5.7
  • MPI: Platform MPI

Server 3: CUBE HVPC c16ivy (New “Ivy” based Intel server)

  • CPU: 2, INTEL XEON e5-2667V2 @ 3.3 (Octa Core)
  • Memory: 128GB (16x8G) DDR3-1600 ECC Reg. RAM (1600MHz)
  • RAID Controller: Supermicro AOC-S2208L-H8iR 6Gbps, PCI-e x 8 Gen3
  • Hard Drives: Supermicro HDD-A0600-HUS156060VLS60 – Hitachi 600G SAS2.0 15K RPM 3.5″
  • OS: Linux 64-bit / Kernel 2.6.32-358.18.1.e16.x86_64
  • App: ANSYS FLUENT 14.5.7
  • MPI: Platform MPI
  • HCA: SMC – QDR Infiniband
    • The IB card installed however solves were run distributed locally

ANSYS FLUENT 14.5.7 Performance using the ANSYS FLUENT Benchmark suite provided by ANSYS, Inc.

ANSYS Fluent Benchmark page link:http://www.ansys.com/Support/Platform+Support/Benchmarks+Overview/ANSYS+Fluent+Benchmarks

Release ANSYS FLUENT 14.5.7 Test Cases
(20 Iterations each)

  • Reacting Flow with Eddy Dissipation Model (eddy_417k)
  • Single-stage Turbomachinery Flow (turbo_500k)
  • External Flow Over an Aircraft Wing (aircraft_2m)
  • External Flow Over a Passenger Sedan (sedan_4m)
  • External Flow Over a Truck Body with a Polyhedral Mesh (truck_poly_14m)
  • External Flow Over a Truck Body 14m (truck_14m)

Here are the results for all three machines, total and average time:

Intel-AMD-Flunet-Part2-Chart1Intel-AMD-Flunet-Part2-Chart2

 

Summary: Are you sure? Part 2

So I didn’t have to have the “Are you sure?” question with Eric this time and I didn’t bother triple checking the results because indeed, the Ivy Bridge-EP Socket 2011 is one fast CPU! That combined with a 0.022 micron manufacturing process  the data speaks for itself. For example, lets re-dig into the data for the External Flow Over a Truck Body with a Polyhedral Mesh (truck_poly_14m) benchmark and see what we find:

Intel-AMD-FLUENT-Details

 

 

 

 

 

 

 

 

 

 

 

Intel-AMD-FLUENT-summary

 

 

 

 

 

 

 

 

 

 

 

Current Pricing of INTEL® and AMD® CPU’s

Here is the up to the minute pricing for each CPU’s. I took these prices off of NewEgg and IngramMicro’s website. The date of the monetary values was captured on October 4, 2013.

Note AMD’s price per CPU went up and the INTEL XEON e5-2690 went down. Again, these prices based on today’s pricing, October 4, 2013.

AMD Opteron 6308 Abu Dhabi 3.5GHz 4MB L2 Cache 16MB L3 Cache Socket G34 115W Quad-Core Server Processor OS6308WKT4GHKWOF

  •  $501 x 4 = $2004.00

Intel Xeon E5-2690 2.90 GHz Processor – Socket LGA-2011, L2 Cache 2MB, L3 Cache 20 MB, 8 GT/s QPI

  • $1986.48 x 2 = $3972.96

Intel Xeon E5-2667V2 3.3 GHz Processor – Socket LGA-2011, L2 Cache 2MB, L3 Cache 25 MB, 8 GT/s QPI,

  • $1933.88 x 2 = $3867.76

REFERENCES:
http://www.ingrammicro.com
http://www.newegg.com

INTEL XEON e5-2667V2
http://ark.intel.com/products/75273/Intel-Xeon-Processor-E5-2667-v2-25M-Cache-3_30-GHz

INTEL XEON e5-2690
http://ark.intel.com/products/64596/

AMD Opteron 6308
http://www.amd.com/us/Documents/Opteron_6300_QRG.pdf

http://en.wikipedia.org/wiki/Double-precision_floating-point_format

http://en.wikipedia.org/wiki/Central_processing_unit#Integer_range

http://en.wikipedia.org/wiki/Floating_point

STEP OUT OF THE BOX, STEP INTO A CUBE

PADT offers a line of high performance computing (HPC) systems specifically designed for CFD and FEA number crunching aimed at a balance between cost and performance. We call this concept High Value Performance Computing, or HVPC. These systems have allowed PADT and our customers to carry out larger simulations, with greater accuracy, in less time, at a lower cost than name-brand solutions. This leaves you more cash to buy more hardware or software.

Let CUBE HVPC by PADT, Inc. quote you a configuration today!

 

ANSYS FLUENT Performance Comparison: AMD Opteron vs. Intel XEON

AMD Opteron 6308 & INTEL XEON e5-2690 Comparison using ANSYS FLUENT 14.5.7

Note: The information and data contained in this article was complied and generated on September 12, 2013 by PADT, Inc. on CUBE HVPC hardware using FLUEN 14.5.7.  Please remember that hardware and software change with new releases and you should always try to run your own benchmarks, on your own typical problems, to understand how performance will impact you.

A potential customer of ours was interested in a CUBE HVPC mini-cluster. They requested that I run benchmarks and garner some data on a two CPU’s. The CPU’s were benchmarked on two of our CUBE HVPC systems. One mini-cluster has dual INTEL® XEON e5-2690 CPU’s and another mini-cluster has quad AMD® Opteron 8308 CPU’s. The benchmarking was only run on a single server using a total of 16 cores on each machine. The same DDR3-1600 ECC Reg RAM, Supermicro LSI 2208 RAID Controller and Hitachi SAS2 15k RPM hard drives were used on each system.

clip_image002clip_image004clip_image006clip_image008

CUBE HVPC Test configurations:

Server 1: CUBE HVPC c16
  • CPU: 4, AMD Opteron 6308 @ 3.5GHz (Quad Core)
  • Memory: 256GB (32x8G) DDR3-1600 ECC Reg. RAM (1600MHz)
  • Hardware RAID Controller: Supermicro AOC-S2208L-H8iR 6Gbps, PCI-e x 8 Gen3
  • Hard Drives: Supermicro HDD-A0600-HUS156060VLS60 – Hitachi 600G SAS2.0 15K RPM 3.5″
  • OS: Linux 64-bit / Kernel 2.6.32-358.18.1.e16.x86_64
  • App: ANSYS FLUENT 14.5.7
  • MPI: Platform MPI
  • HCA: SMC AOC-UIBQ-M2 – QDR Infiniband
    • The IB card installed however solves were run distributed locally
  • Stack: RDMA 3.6-1.el6
  • Switch: MELLANOX IS5023 Non-Blocking 18-port switch
Server 2: CUBE HVPC c16i
  • CPU: 2, INTEL XEON e5-2690 @ 2.9GHz (Octa Core)
  • Memory: 128GB (16x8G) DDR3-1600 ECC Reg. RAM (1600MHz)
  • RAID Controller: Supermicro AOC-S2208L-H8iR 6Gbps, PCI-e x 8 Gen3
  • Hard Drives: Supermicro HDD-A0600-HUS156060VLS60 – Hitachi 600G SAS2.0 15K RPM 3.5″
  • OS: Windows 7 Professional 64-bit
  • App: ANSYS FLUENT 14.5.7
  • MPI: Platform MPI

ANSYS FLUENT 14.6.7 Performance using the ANSYS FLUENT Benchmark suite provided by ANSYS, Inc.

The models we used can be downloaded from the ANSYS Fluent Benchmark page link: http://www.ansys.com/Support/Platform+Support/Benchmarks+Overview/ANSYS+Fluent+Benchmarks

Release ANSYS FLUENT 14.5.7 Test Cases  (20 Iterations each):
  • Reacting Flow with Eddy Dissipation Model (eddy_417k)
  • Single-stage Turbomachinery Flow (turbo_500k)
  • External Flow Over an Aircraft Wing (aircraft_2m)
  • External Flow Over a Passenger Sedan (sedan_4m)
  • External Flow Over a Truck Body with a Polyhedral Mesh (truck_poly_14m)
  • External Flow Over a Truck Body 14m (truck_14m)
Chart 1: Total Wall Clock Time in seconds: (smaller bar is better)

clip_image011

Chart 2: Average wall-clock time per iteration in seconds: (smaller bar is better)

clip_image015

 

Summary:

Are you sure?

That was the question Eric proposed to me after he reviewed the data and read this blog article before posting. I told him “yes I am sure data is data, and I even triple checked.” I basically re-ran several of the benchmarks to see if the solve times came out the same on these two CUBE HVPC workstations. I went on to tell Eric , “For example, lets dig into the data for the External Flow Over a Truck Body with a Polyhedral Mesh (truck_poly_14m) benchmark and see what we find.”

Quad socket Supermicro motherboard

4 x 4c AMD Opteron 6308 @3.5GHz

Dual socket Supermicro motherboard

2 x 8c INTEL e5-2690 @2.9GHz

clip_image002[1] clip_image004[1]

The INTEL XEON e5-2690 INTEL CPU dual socket motherboard is impressive; it may have been on the Top500 list of some of the fastest computers in the world ten years ago. Anyways, so after each solve I captured the solve data and as you can see below. The AMD Opteron wall clock time was faster than the INTEL XEON wall clock time.

So why did the AMD Opteron 6308 CPU pull away from the INTEL for the ANSYS FLUENT solve times? Lets take a look at couple of reasons why this happened. I will let you make your own conclusions.

  • Clock Speed, but would a 10.4GHz difference in total CPU speed make a 100% speedup in ANSYS Fluent wall-clock times?
  • Theoretical total of:
  • AMD® OPTERON 6308 = 16 x 3.5GHz = 56.0 GH
  • INTEL® XEON e5-2690 = 16 x 2.9GHz – 46.4 GHz
  • The floating point argument? The tic and tock of the great CPU saga continues.
  • At this moment in eternity, it is a known fact that the AMD Opteron 6308 and many of its brothers, have one floating point unit per two integer cores. INTEL has one integer core per one floating point core. However what this means to ANSYS CFD users in my MIS/IT simpleton terms is the AMD CPU was simply able to handle and process more data in this example.
  • It’s possible that there were more integer calculations required than floating point? If that is the case then the AMD CPU would have had eight pipelines for integer calculations. The AMD Opteron is able to process four floating point pipelines. While the INTEL CPU can process eight floating point pipelines.

Let us look at the details of what is on the motherboards as well.  4 data paths vs 2 can make a difference:

Dual socket Supermicro motherboard

2 x 8c INTEL e5-2690 @2.9GHz

Quad socket Supermicro motherboard

4 x 4c AMD Opteron 6308 @3.5GHz

Processor Technology 32-Naometer 32-Naometer SOI (silicon-on-insulator) technology
HyperTransport™ Technology Links

Quick Path Interconnect Links

Two links at up to 8GT/s per link up to 16 GB/s direction peak bandwidth per port Four x16 links at up to 6.4GT/s per link
Memory Integrated DDR3 memory controller – Up to 51.2 GB/s memory bandwidth per socket
Number of Channels and Types of Memory Four links at up to 51.2GB/s per link Four x16 links at up to 6.4GT/s per link
Number of Channels and Types of Memory Quad channel support Quad channel support
Packaging LGA2011-0 Socket G34 – 1944-pin organic Land Grid Array (LGA)
Current pricing of the CPU’s

Here is the up to the minute pricing for each CPU’s. I took these prices off of NewEgg and IngramMicro’s website. The date of the monetary values was captured on September 12, 2013.

  • AMD Opteron 6308 Abu Dhabi 3.5GHz 4MB L2 Cache 16MB L3 Cache Socket G34 115W Quad-Core Server Processor OS6308WKT4GHKWOF
    • $499.99 x 4 = $1999.96
  • Intel Xeon E5-2690 2.90 GHz Processor – Socket LGA-2011, L2 Cache 2MB, L3 Cache 20 MB, 8 GT/s QPI,
    • $2010.02 x 2 = $4020.40

STEP OUT OF THE BOX,
STEP INTO A CUBE

PADT offers a line of high performance computing (HPC) systems specifically designed for CFD and FEA number crunching aimed at a balance between cost and performance. We call this concept High Value Performance Computing, or HVPC. These systems have allowed PADT and our customers to carry out larger simulations, with greater accuracy, in less time, at a lower cost than name-brand solutions. This leaves you more cash to buy more hardware or software.

Let CUBE HVPC by PADT, Inc. quote you a configuration today!