Entries filed under “Applied HPC”

Applications of HPC which are interesting because they enabled discoveries, represent new or uncommon domains for high end computation, or because they are, um, interesting.

NSF funds Ga Tech to develop petascale tools for study of genomic evolution

Georgia Tech announced today that the NSF, using money from the American Recovery and Reinvestment Act of 2009, has funded a four year, $1M effort to develop new petascale tools for genomic sequencing

Even on today’s fastest parallel computers, it could take centuries to analyze genome rearrangements for large, complex organisms. That is why the research team — which also includes Jijun Tang, an associate professor in the Department of Computer Science and Engineering at the University of South Carolina; and Stephen Schaeffer, an associate professor of biology at Penn State — is focusing on future generations of petascale machines, which will be able to process more than a thousand trillion, or 10^15, calculations per second. Today, most personal computers can only process a few hundred thousand calculations per second.

The researchers plan to develop new algorithms in an open-source software framework that will utilize the capabilities of parallel, petascale computing platforms to infer ancestral rearrangement events. The starting point for developing these new algorithms will be GRAPPA, an open-source code co-developed by Bader and initially released in 2000 that reconstructed the evolutionary relatedness among species.


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First-time exhibitor Tycrid aims GPU technology at bioinformatics market

insideHPC sat down with Chris Heier, president of Tycrid Platform Technologies, a first-time SC09 exhibitor based in Canada, to learn more about their purpose built GPU-based solutions and their focus on the Bioinformatics space.

insideHPC: First of all Chris, welcome to SC09. It’s great to see so many first-time exhibitors — including Tycrid of course. Why don’t we start off with some background for our readers. When was Tycrid founded and why? What opportunity did the founders see that brought you to this particular solution?

Tycrid CEO Chris HeierChris Heier: Tim Davies, our co-founder, and myself founded Tycrid in September of 2007. Our backgrounds over the past seven years of working together have been in synthetic aperture imaging and real-time seismic image processing. Working in technical disciplines like these, you find really quickly that there are major limitations in normal computing architectures. Not enough processing power, bandwidth, etc. We had developed some pretty innovative solutions around FPGAs, but these came with the issues of time and expertise required to utilize them.

We decided to do something that we thought would be really cool — attempt to build the most powerful workstation in the world. For years prior to incorporating our business, we had looked deeply into GPU computing, working with companies like PeakStream (now owned by Google), as well as Rapidmind to push into multi-GPU computing. It was difficult at the time, and utilizing multiple GPUs seemed to be very difficult from an end-user perspective. Fast forward to CUDA when the GeForce 8 series rolled out, and suddenly multi-GPU started to look very feasible and seamless to end users.

We had built a workstation using 6 GPUs, originally GeForce, but eventually moved to Tesla. It was tough at first as the BIOS we were working with would fail to boot with more than 4 GPUs, but time and effort prevailed. When we got it working, we had benchmarked with VMD, and had a 58x speedup over what would have been considered a top of the line workstation at the time.

I guess as a summary, we started the company with the desire to bring technology to market that could have a significant impact on scientific discovery. With myself liking fast hardware, and Tim being involved with some of the most computationally intensive sciences, we saw this as a great opportunity to not just supply researchers, but to collaborate with them for the advancement of science. We saw the GPU as a technology that could make this a reality — in an acceptable timeframe.

insideHPC: So is that still your direction, or how has that vision changed over the past year?

Heier: There has definitely been some change in how we intend to move forward. Narrowing our focus has really been the big thing. On one hand, you have a great technology that can be applied to so many things, and on the other, a team that has many great ideas as to how to use it.

Bioinformatics is an area where we feel this technology can really have a positive impact. It is a research area that I believe has true potential in making a big difference in the world. Genomics in particular is where I really see some fantastic new science coming into play. GPU based computing platforms will have a big impact in shaping the future of genomics.

Moving forward, our vision is to build the right team, and develop the right purpose built appliances to establish Tycrid as the leading custom solutions provider in this domain.

insideHPC: So, here in the final months of 2009, this industry seems to have GPU fever. I have to ask you this one: Is Tycrid just one of many new companies trying to find a niche for GPU-based computing?

Heier: No. While we are one of the few companies that decided to focus solely on GPU computing, it is still simply selling commodity hardware. We have the skills to put together some very innovative solutions, but when more well-established companies are getting heavily involved in the space, it doesn’t make sense for us to be just another GPU company.

Our focus is what sets us apart. I love hardware. Always will. But there is really a bigger problem. Anyone can make and sell commodity hardware. Few companies really make it easy for the potential end customer, and even fewer wish to take the initiative to advance science in a very specific direction. We’re not simply talking about hardware anymore, but a complete philosophy that drives everything we do at Tycrid. By developing a strong community with a singular goal, I feel that we can begin to intimately understand the needs of the genomics community, and really create something truly unique that solves many of the domain challenges in the upcoming future.

We see GPUs as being the next evolution in computing technology, a disruptive force, that will allow for the enablement of upcoming science that needs to happen. In genomics, sequencers are going to be coming online that process the genome at unprecedented speeds. The GPU has provided a great opportunity to begin to meet these future demands.

insideHPC: What is Tycrid doing that other companies are not doing with the Tesla GPU? And will your strategy keep you tightly aligned with Nvidia?

Heier: What we are choosing not to do is to take the easy way out. Selling white boxes and trying to be everything to everyone. That is not our game. It is also an approach that I see as counterintuitive to what actually needs to be happening. NVIDIA is doing an excellent job in really pushing GPUs as a computational engine, and that is something that we have been on-board with before CUDA. Without them, I don’t think the landscape on accelerator technologies would be as intriguing as it is today. It is truly a disruptive technology.

Our strategy moving forward is 80% collaboration and 20% integration. By collaborating closely with the research community, we can better serve their needs with a purpose built turnkey solution. Our focus on the genomics sector is critical. There is simply too much that needs to be done, and not enough of a collective effort to drive the development of a proper solution to address the future market need. It’s more of a long term strategy, but I believe the efforts we put in to making this a reality will pay off in the end.

insideHPC: How long has Tycrid been shipping systems — and who are some of your customers?

Heier: We started shipping systems earlier this year. We have about a dozen systems installed at some leading research and academic institutions, but at this time, we are not at liberty to discuss the applications they have been working on. I can say that throughout the next year, we will begin the development of a truly revolutionary platform that will be available on the CANARIE research network. There are also several very exciting collaborations we will be entering into for applications porting and algorithm development.

insideHPC: So what is the next big thing for Tycrid?

Heier: We have quite a few activities and milestones coming up this next year so I think I can confidently say you will be hearing quite a bit about us in 2010. I’m very excited about our founding role in the Prometheus Alliance which was just announced this past week. The Alliance is something I truly feel will evolve into something else. Seriously. I’m a young guy, and being able to spearhead an alliance as important as I believe Prometheus will be is something I will always look back on with pride. It is something that has to happen, and now is the right time to make it happen. There are just so many great things happening in genomics that will affect all of our lives for the better, and the alliance will be the vehicle to drive the innovation needed to make these things happen.

Also posted in Events, Featured Stories, GPUs, HPC Hardware | 3 Comments

Pico announces bioinformatics results on FPGA cluster

Pico Computing announced performance results for its FPGA-accelerated computing platform on a dot plot algorithm

Pico Computing…announced that it has achieved greater than 5000X acceleration of a bioinformatics sequence analysis and dot plot algorithm using a cluster of 112 commodity FPGA devices. The FPGA computing platform consumes less than 300 Watts of power and fits into a standard 4U server case.

A dot plot provides a way to understand the relationship between two DNA sequences; Greg Edvenson, a Senior Software Engineer at Pico Computing, developed on a single local FPGA before running on a larger system

Edvenson used a single FPGA device during initial algorithm development. The FPGA was encapsulated in a Pico Computing E-17 card attached directly to a laptop computer via an ExpressCard interface. After the algorithm was tested and working as a single hardware process, Edvenson then scaled up and replicated the algorithm for deployment on the FPGA cluster. C-to-FPGA tools provided by Impulse Accelerated Technologies were used during the development of the algorithms, reducing the need to write low-level HDL code.

There isn’t a customer involved here — the development and demonstration is all in-house. Still, it’s a interesting data point for the technology. More information about the demonstration in the press release [PDF].

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Metagenomics and the computing challenges of microbes

Quick stat from the latest post at the CCC blog: there are estimated to be ten times as many microbial cells in and on your body at cells that make up you. Ewww.

The post is about the challenges of studying and identifying, let alone understanding, the many many different organisms which share the planet with us

Metagenomics is a relatively new field that seeks to understand the structure and function of the shockingly large number of microorganisms on our planet. New technologies permit us to now sequence samples taken from their environment rather than only those that are cultivated in the lab. For example, Craig Ventner’s Global Ocean Sampling Expedition has collected water throughout the world’s oceans, captured organisms, and sequenced their DNA. In the initial pilot study alone, nearly 150 new bacteria were discovered through this process.

The science and computing challenges are huge. A single gram of soil contains approximately one trillion base pairs of DNA….Sequencing and making sense of these data introduces new computational problems, not merely slight extensions of existing ones.

Whither the computational problem?

Complete DNA sequences of thousands of organisms are piling up in databases because of the efficiency of DNA sequencing technologies. Most of this remains unanalyzed for several reasons. We don’t yet know the right biological questions to ask. We don’t have all the clever programs that would actually ask these questions of the computer. And there is now so much data that many questions totally overwhelm even existing high performance computers.

More in the post.

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Climate Modeling Research at Argonne National Laboratory

Argonne National Laboratory is one of the U.S. Department of Energy’s oldest and largest national laboratories for science and engineering research. Managed by UChicago Argonne, LLC, for the U.S. Department of Energy’s Office of Science, Argonne supports over 200 research projects in the areas of energy, biological and environmental systems, and national security and operates major experimental and computational facilities for the nation.

“Understanding climate change is an interdisciplinary effort that combines many Argonne research areas,” observes Rick Stevens, associate laboratory director of Computing, Environment, and Life Sciences (CELS) at Argonne. “We are creating the scientific understanding and computational tools required first to understand and then to respond to global climate change at a regional level.”

Climate modeling research at Argonne has three main thrusts. Continue reading »


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Real-time ray tracing engine available free

NVIDIA announced on their blog today that the OptiX ray tracing engine is now available for download on their website. Why, oh why, might you care? Unlike NVIDIA’s recent RealityServer announcement which also included news of an interactive GPU-accelerated ray tracer (iray), as a more general solution OptiX has lots of applications in computationally-intensive tasks where ray tracing plays an important role, like acoustic design and radar signature prediction.

nVidia logoJeff Brown, NVIDIA’s GM for Professional Solutions, explains why OptiX is invaluable: “This opens the door to a new level of interactive realism. Ray tracing’s inherent parallelism makes it a perfect fit for GPU computing. The OptiX engine makes it easy for developers to exploit that power to create an exciting new class of applications. It enables critical design tasks — such as examining reflections, refractions and shadow – to be performed now in real-time.”

The OptiX engine, which has been beta tested for the past six months, drastically shortens the development time required to create ray tracing apps by supplying state-of-the-art acceleration approaches that allow developers to concentrate on compelling features – not just performance.

And it’s free.

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NVIDIA Launches Search for Next Great GPU Research Projects

nVidia logoNVIDIA announced this morning that they are now accepting applications for its ninth annual NVIDIA Fellowship Program.  The program will help fund work that helps to solve complex visual computing challenges.  Grants of $25,000 will be given to selected projects in the Spring of 2010. The program is open to applicants worldwide beginning today and running through February 3, 2010.  Applicants must have completed their first year of studies in the areas of computer architecture, computer science, electrical engineering, high-performance computing, scientific computing, or a related area.  Applicants must also be a member of an active research team.

The Fellowship Program aims to provide funding to Ph.D. students who are researching topics that will lead to major advances in the graphics and high-performance computing industries,” said Bill Dally, chief scientist at NVIDIA. “Award recipients will not only receive crucial funding for their research. They will also be able to conduct groundbreaking work with access to NVIDIA products, technology and some of the most talented minds in the field.”

The program has awarded more than $1.8 million in funding to over 75 Ph.D. research students since its inception in 2002.  For more info, read their full release here or check out the NVIDIA Research page here.


Also posted in Computing Research, GPUs, HPC Hardware | 4 Comments

Argonne scientists win prize for theoretical physics work on supercomputers

Argonne announced late last week that two of their scientists have won the Bonner Prize in nuclear physics.

ANL logoSteven Pieper and Robert Wiringa, senior scientists at the U.S. Department of Energy’s (DOE) Argonne National Laboratory, have won the 2010 Tom W. Bonner Prize in nuclear physics. The award will be presented by the American Physical Society in Washington, D.C., in February 2010.

The Prize is typically awarded for experimental work, but according to ANL it can go to experimental work in “special circumstances.”

Pieper and Wiringa have been pioneers in developing models of these forces. Wiringa and his collaborators at Jefferson Lab and elsewhere developed the Argonne v18 potential, a model of nucleon-nucleon interactions that has become a de facto standard in the nuclear structure community. The ability to conduct computations of ever larger nuclei required advances in computers and the algorithms used—issues that Pieper has been addressing over the past dozen years with a state-of-the-art quantum Monte Carlo program. This program enabled Pieper and Wiringa, together with collaborators from the University of Illinois at Urbana-Champaign and Los Alamos National Laboratory, to develop several models of three-nucleon forces.

…Recently, in collaboration with researchers in Argonne’s Mathematics and Computer Science Division, Pieper has enhanced the quantum Monte Carlo program to model nuclear states up to carbon-12.  This work, funded by a DOE Scientific Discovery through Advanced Computing (SciDAC) grant, resulted in a novel subroutine library for using massive parallel computers. Key to this effort has been access to the IBM Blue Gene/P supercomputer in the Argonne Leadership Computing Facility.


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State of the Art Climate Modeling Research at NERSC

The National Energy Research Scientific Computing Center (NERSC) is the scientific computing facility for the Office of Science in the U.S. Department of Energy. As one of the largest facilities in the world devoted to providing computational resources and expertise for basic research, NERSC is a world leader in accelerating scientific discovery through computation. NERSC is located at Lawrence Berkeley National Laboratory in Berkeley, California and currently provides supercomputing resources to more than 3,000 users at universities and national labs. Access to NERSC systems is awarded based on scientific need and computational requirements of a particular problem.

NERSC has long been meeting the complex demands of the climate modeling community, hosting a variety of projects involving researchers from DOE laboratories, universities, and other climate modeling laboratories such as the National Center for Atmospheric Research (NCAR), Scripps Institution of Oceanography, and the Geophysical Fluid Dynamics Laboratory. These projects have spanned a wide range of activities that include medium- and high-resolution production global climate simulations, ocean modeling, validation of climate models, comparisons of various climate and weather models, creation and testing of climate codes, and reconstruction of 3-D weather data for the last 150 years from sparse 2-D observational data.

NERSC Director Kathy Yelick is particularly proud of the services that NERSC has offered climate modeling researchers and of the importance of the work to the public at large.

Yelick states, “Simulations are essential to understanding global climate change and supercomputers are vital because of the complexity of the computations. The 2007 Nobel Peace prize that was awarded to the Intergovernmental Panel on Climate Change (IPCC) is recognition of the importance of this work.” Many of the simulations for the IPCC Fourth Assessment Report were carried out at NERSC and researchers are planning runs at NERSC in support of the upcoming Fifth Assessment Report.

Continue reading »

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RoadRunner aids in genetic mapping, search for HIV vaccine

We love HPC applications that directly touch everyday life, and you can’t get much closer than using a super to improve the lives of the tens of millions of HIV-infected people around the world (estimates vary, but are somewhere in the 30 million range).

News-Medical.net is reporting that scientists are using LANL’s RoadRunner super (currently ranked #1 on the Top500) in search for an HIV vaccine

Supporting Los Alamos National Laboratory’s role in the international Center for HIV/AIDS Vaccine Immunology (CHAVI) consortium, researchers are using the Roadrunner supercomputer to analyze vast quantities of genetic sequences from HIV infected people in the hope of zeroing in on possible vaccine target areas.

In the study samples from more than 400 HIV-infected patients were analyzed to create an evolutionary genetic family tree of the virus in the hope that they can cross-reference that with information about which patients are acutely ill to find pathways for a new vaccine

The idea, according to Korber, is to identify common features of the transmitted virus, and attempt to create a vaccine that enables recognition the original transmitted virus before the body’s immune response causes the virus to react and mutate.

…”The petascale supercomputer gives us the capacity to look for similarities across whole populations of acute patients,” said Bhattacharya. “At this scale we can begin to figure out the relationships between chronic and acute infections using statistics to determine the interconnecting branches – and it is these interconnections where a specially-designed vaccine might be most effective.


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Acceleware Delivers Enhanced Processing Capabilities for RTM

accelewareAcceleware announced today a new version of AxRTM for Reverse Time Migration.  This release allows seismic data users of any use to process RTM on existing x86 clustered platforms or within heterogeneous computing environments using GPUs.  They have also added Tilted Transverse Isotropy [TTI] support in this release of AxRTM.  TTI provides enhanced accuracy for imaging required to make better informed drilling decisions within areas of complex folded geology.

In folded and faulted geologic settings, dipping anisotropic strata above exploration targets blur and misposition seismic reflectors. In my experience, correcting for these TTI anisotropic effects–rather than ignoring them–aids the model-building process and produces a far more accurate depth image,” said Rob Vestrum, PhD, CTO of Thrust Belt Imaging.

This release of AxRTM adds the following features:

  • TTI anisotropic support
  • VTI anisotropic support
  • Perfectly matched layer boundaries
  • Domain decomposition – MPI or TCP sockets
  • High-Quality Imaging Condition
  • Support for offset gathers

The value of RTM is its ability to produce enhanced images, especially in certain complex geologies, but generating those images can require a lot of computation,” said Ryan Schneider, CTO of Acceleware. “With AxRTM, major computational bottlenecks are effectively removed, delivering a production-ready solution that is accessible to a broad spectrum of customers.”

If you happen to be at SEG this week, check out Acceleware in Booth #2855.  Otherwise, read the full release here.

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UCAR’s Community Climate System Model and Research

UCAR logoThe University Corporation for Atmospheric Research (UCAR) was created in the late 1950s by faculty from 14 leading universities to support and nourish the atmospheric sciences. These visionaries recognized the need for community observational and computational facilities and a world-class research staff, which together would allow the community to carry out complex, long-term scientific programs beyond the reach of individual universities. In partnership with the National Science Foundation (NSF), they established the National Center for Atmospheric Research (NCAR). Since its inception UCAR has managed NCAR, on behalf of NSF, to address pressing scientific and societal needs involving the atmosphere and its interactions with the oceans, land, and Sun—what is now called Earth system science. UCAR now comprises 73 member universities, 21 affiliates and 48 international affiliates.

The Community Climate System Model (CCSM)

UCAR developed and maintains the Community Climate System Model (CCSM), a global climate model developed with funding from the National Science Foundation, Department of Energy (DOE), and NASA. The CCSM provides physical/dynamical/biogeochemical model components of the climate system. Specifically, the components include an atmospheric model (Community Atmosphere Model), a land-surface model (Community Land Model), an ocean model (Parallel Ocean Program), and a sea ice model (Community Sea Ice Model). The CCSM model is available online to anyone in the world. There are various versions of the Climate Model that run on major systems like Cray, IBM, Linux, NEC, Unix but the model developed to run on supercomputer systems.

Dr. Warren Washington, UCAR Senior Scientist, indicates that Community Climate System Model (CCSM) includes a variety of working groups and many university and DOE Laboratory scientists work on the model. There is large CCSM conference each year where as many as 350 people attend from universities, national labs, and government groups. The working groups also meet as needed each year.

“Clearly we have made great progress on climate modeling in the last four decades. This is the time scale that I became involved…starting in 1964. In the early days, the models were quite simple and did not include the complex set of processes that are in present day models. I believe the models are producing simulations that include most of the major features of the climate system such change of seasons, monsoons, jet stream structures, major regional temperature and precipitation patterns and storm systems in both the tropics and higher latitudes. They also the important El Nino and La Nina patterns. This was not the case in the earlier versions of the models…substantial progress has been made in the science of climate modeling” states Washington.

Continue reading »

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UK adds $20M to HPC pot for physics and astronomy computation

Yesterday the Science and Technology Facilities Council (STFC) announced that they had received   £12.32 million (about 20.5M USD) from the UK’s Large Facilities Capital Fund to support new HPC aimed at helping particle physicists and astronomers. And they got Stephen Hawking in the release

Stephen HawkingProfessor Stephen Hawking, principal investigator of the COSMOS consortium, welcomed the news and said, “This is an exciting time in astronomy, particle physics and cosmology with the UK heavily involved in world-leading terrestrial and space-based experiments. These STFC supercomputer funds will ensure that calculations from our theories keep pace and are tested against the observations now flooding in. I am confident these resources will help UK scientists answer some of the biggest questions about our Universe.”

Stephen Hawking, baby! (For those keeping count, my personal Hawking Post Count now stands at two for October.) The release is choc-full of great quotes on the value of HPC for science like this one

Professor Keith Mason, chief executive of the Science and Technology Facilities Council (STFC), said, “This new investment will ensure that UK researchers can continue using novel computing solutions to enable cutting-edge research in astronomy, cosmology and particle physics and, at the same time, contribute to long-term economic recovery through training young scientists in the most powerful computing techniques of the 21st century. HPC is an invaluable tool for our science community and is helping us advance in many fields of science.”

Credit to HPCwire for the story.

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The U.S. Department of Energy’s Role in Climate Research

Climate research looks at weather patterns and evaluates the interaction of elements such as atmosphere, land surface, ocean and sea ice systems. Climate modeling research uses sophisticated mathematical algorithms and complex calculations on high-performance supercomputers to gain a better understanding of weather patterns and to predict changes in the Earth’s climate.

The U.S. Department of Energy (DOE) is at the forefront of climate research and climate modeling. DOE has a Climate Modeling Program whose mission is to improve climate change projections using state-of-the-science coupled climate and earth system models, on time scales of decades to centuries and spatial scales of global to regional. DOE plays a vital and unique role in the climate modeling enterprise in the U.S., primarily through two offices within DOE’s Office of Science:  the Office of Biological and Environmental Research (BER) as well as the Office of Advanced Scientific Computing Research (ASCR).

Climate Modeling at DOE

The climate modeling program in the DOE Office of Science sponsors projects that develop, test, and apply state-of-the-science coupled climate and earth system models, based on theoretical climate change science foundations. According to Anjuli Bamzai DOE Program Manager, Climate Change Prediction Program, Climate and Environmental Sciences Division, “In order to enable sound decision-making on issues pertaining to future energy use and technology options, credible high-resolution climate change simulations are required at a regional scale. To achieve such high-resolution simulations, both the accuracy and throughput need to be dramatically increased; thus the climate modeling activity takes advantage of emerging high performance computing (HPC) and information technologies. An example of climate modeling using HPC and supercomputers can be found in the DOE Leadership-class Computing Facility.”

Why Climate Modeling is Important

Continue reading »

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Recap of HP’s 20th computer aided engineering symposium

HP’s 20th Annual CAE Symposium was held in Detroit on Oct 1, 2009. We didn’t make it, but got a pointer by email to an HP blog post recapping the event

HP logoFor our 20th anniversary event, we chose to return to Detroit… the locale of so many successful CAE events with anchored by several key CAE automotive customers. It’s been quite a climb for these customers during these many months of a difficult economy, but after meeting with customers at the event, I was convinced that Detroit has the perseverance and drive to recover and return to a leading center of innovative product design and development.  The discussions that I had with key customers confirmed their belief in CAE simulations and recent HP CAE investments by these customers prove that they realize the criticality of CAE to ensure their growth and success for the US automotive industry.  One customer told me that even though times are difficult, cuts in CAE simulations would be ill advised because lack of investment today would result in lack of competitive product offering when the economy fully recovers.

If you couldn’t make it either you might be interested in the slides as well.

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