Innovating In the Cloud

By Nicole Hemsoth

December 3, 2012

By Dale Dunlap and Ravi Kunju

Altair HWOD Cloud Data CenterComputer-Aided Engineering (CAE) has traditionally required significant investment in computing infrastructure. This includes high-end workstations for modeling and visualization (pre- and post-processing) and high-performance compute nodes to solve increasingly more complex problems. This investment can create a barrier for smaller organizations to fully exploit the advantages simulation offers; for larger organizations, it can translate into a struggle to balance CAE workflow efficiency against rising IT costs associated with software, hardware, maintenance and support.

To address these business challenges, companies are turning to cloud computing, a rapidly evolving technology that augments and complements an organization’s overall IT strategy. In general, cloud computing refers to providers delivering hosted services over the Internet on a pay-per-use basis. These services can be in the form of servers (Infrastructure as a Service, IaaS), servers and system software (Platform as a Service, PaaS), or applications and databases (Software as a Service, SaaS). Such a solution is typically available in the form of a private cloud, which is a proprietary network operated by or on behalf of a single organization, or a public cloud, which has shared resources that are managed and operated by a provider outside of an organization’s firewall.

A key driver for cloud computing includes simplifying access to a high-performance computing (HPC) infrastructure, allowing engineers to focus on problem-solving versus how and where their jobs are executed. Cloud computing also allows businesses to forego the IT expense of scaling and supporting internal HPC resources to meet a fluctuating, peak operational demand (much like a utility company).

Altair has innovatively empowered its customers to explore the benefits of CAE cloud computing directly through its HyperWorks engineering software platform. HyperWorks On-Demand™ (HWOD) allows customers to leverage their investment in Altair’s patented licensing system – HyperWorks Units (HWUs) – to run HyperWorks software on a hosted, modern HPC infrastructure via a secure, web-based portal. Launched directly from a standard web browser, HWOD enables engineers to burst to the cloud to run massive simulations so that organizations can easily scale resources to meet growing compute demand.

A Conduit to the Cloud
Today, Altair’s HWU software licensing model enables enterprise-wide access to more than 50 design, engineering, on-demand computing and analytics software titles. With every new software addition to the HWU licensing system, the value of a client’s investment in HWUs increases. As with the introduction of the HyperWorks Partner Alliance Program in 2008, in which Altair partner technologies can be accessed on-demand using HWUs, HWOD is an unprecedented move in the industry to apply a client’s investment in software towards leveraging high-performance cloud computing resources – dramatically increasing the value of their software investment.

HWOD is a multi-tenant service, where each customer (tenant) gains access to dedicated resources within a secure environment. It utilizes the HyperWorks Enterprise Solutions infrastructure, which provides users with an intuitive and powerful interface.

The process is simple and not unlike current CAE workflow processes. Users first generate models for desired simulation events on their desktops. This information is then uploaded through an application-aware web portal. The HWOD portal streamlines the entire job submission process while securely scheduling and efficiently executing compute workload on Altair’s cloud. Automated alerts notify end-users of completed analysis runs for web-based results visualization. Project workloads can be submitted, monitored and reviewed anytime, anywhere.
Promoting Design Innovation

Exploration in the virtual world is broadly dependent on three factors:

  • Creativity of the engineers (the domain experts)
  • Availability of software and compute resources
  • Efficiency of engineering workflow processes

HWOD maximizes creativity and innovation by eliminating the last two barriers. Availability is provided through a secure web portal that automates the scheduling and allocation of HPC resources to run Altair’s world-class solvers for optimization, crashworthiness, NVH studies and multi-body dynamics.

Efficiency of engineering workflow processes is greatly enhanced by eliminating non-value-add tasks associated with job scheduling and monitoring, as well as faster analysis turn-around — allowing more time for design exploration, innovation and optimization.

HWOD currently provides software-as-a-service (SaaS) access to the following solutions:

Additional solutions, including those from Altair’s HyperWorks CAE platform and Partner Alliance program, will be added in the future.

The Power of the Payback

HWOD offers companies an automated way to maximize the flexibility of their computing resources. Scaling up hardware capacity to meet peaks can potentially lead to unused resources and increased cost, while scaling down may increase the risk of program delays. HWOD balances this trade-off offering flexibility and affordability.

More importantly, shorter CAE workflows translate to additional time for engineering departments to create, explore and problem solve, which can result in design patents, cost-saving proposals, and launching on time and within budget. This is the real payback of HWOD for manufacturers.

Just ask Rajiv Menon, director of R&D, Advanced Technologies & CAE, Dorel Juvenile Group, who has experienced Altair’s cloud computing solution. He says, “Altair HyperWorks On-Demand is an excellent solution to Dorel’s growing computational requirements. It provides immediate access to high-performance computing resources at an attractive rate. HyperWorks On-Demand and RADIOSS have become standard tools for product design and validation at Dorel.”

Contact Altair today to learn how we can assist you to meet your growing compute demands.


Footnote: As originally published in Altair’s Concept to Reality magazine’s 2012 Summer/Fall issue.  Dale Dunlap is Director, HPC/Cloud Technology and Ravi Kunju is Managing Director, Enterprise Computing Solutions, Altair.

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

Hedge Funds (with Supercomputing help) Rank First Among Investors

May 22, 2017

In case you didn’t know, The Quants Run Wall Street Now, or so says a headline in today’s Wall Street Journal. Quant-run hedge funds now control the largest Read more…

By John Russell

IBM, D-Wave Report Quantum Computing Advances

May 18, 2017

IBM said this week it has built and tested a pair of quantum computing processors, including a prototype of a commercial version. That progress follows an an Read more…

By George Leopold

PRACEdays 2017 Wraps Up in Barcelona

May 18, 2017

Barcelona has been absolutely lovely; the weather, the food, the people. I am, sadly, finishing my last day at PRACEdays 2017 with two sessions: an in-depth loo Read more…

By Kim McMahon

US, Europe, Japan Deepen Research Computing Partnership

May 18, 2017

On May 17, 2017, a ceremony was held during the PRACEdays 2017 conference in Barcelona to announce the memorandum of understanding (MOU) between PRACE in Europe Read more…

By Tiffany Trader

HPE Extreme Performance Solutions

Exploring the Three Models of Remote Visualization

The explosion of data and advancement of digital technologies are dramatically changing the way many companies do business. With the help of high performance computing (HPC) solutions and data analytics platforms, manufacturers are developing products faster, healthcare providers are improving patient care, and energy companies are improving planning, exploration, and production. Read more…

NSF, IARPA, and SRC Push into “Semiconductor Synthetic Biology” Computing

May 18, 2017

Research into how biological systems might be fashioned into computational technology has a long history with various DNA-based computing approaches explored. N Read more…

By John Russell

DOE’s HPC4Mfg Leads to Paper Manufacturing Improvement

May 17, 2017

Papermaking ranks third behind only petroleum refining and chemical production in terms of energy consumption. Recently, simulations made possible by the U.S. D Read more…

By John Russell

PRACEdays 2017: The start of a beautiful week in Barcelona

May 17, 2017

Touching down in Barcelona on Saturday afternoon, it was warm, sunny, and oh so Spanish. I was greeted at my hotel with a glass of Cava to sip and treated to a Read more…

By Kim McMahon

NSF Issues $60M RFP for “Towards a Leadership-Class” System

May 16, 2017

In case you missed it, the National Science Foundation issued the request for proposals (RFP) for the next ‘Towards a Leadership-Class Computing Facility – Read more…

By John Russell

Cray Offers Supercomputing as a Service, Targets Biotechs First

May 16, 2017

Leading supercomputer vendor Cray and datacenter/cloud provider the Markley Group today announced plans to jointly deliver supercomputing as a service. The init Read more…

By John Russell

HPE’s Memory-centric The Machine Coming into View, Opens ARMs to 3rd-party Developers

May 16, 2017

Announced three years ago, HPE’s The Machine is said to be the largest R&D program in the venerable company’s history, one that could be progressing tow Read more…

By Doug Black

What’s Up with Hyperion as It Transitions From IDC?

May 15, 2017

If you’re wondering what’s happening with Hyperion Research – formerly the IDC HPC group – apparently you are not alone, says Steve Conway, now senior V Read more…

By John Russell

Nvidia’s Mammoth Volta GPU Aims High for AI, HPC

May 10, 2017

At Nvidia's GPU Technology Conference (GTC17) in San Jose, Calif., this morning, CEO Jensen Huang announced the company's much-anticipated Volta architecture a Read more…

By Tiffany Trader

HPE Launches Servers, Services, and Collaboration at GTC

May 10, 2017

Hewlett Packard Enterprise (HPE) today launched a new liquid cooled GPU-driven Apollo platform based on SGI ICE architecture, a new collaboration with NVIDIA, a Read more…

By John Russell

IBM PowerAI Tools Aim to Ease Deep Learning Data Prep, Shorten Training 

May 10, 2017

A new set of GPU-powered AI software announced by IBM today brings automation to many of the tedious, time consuming and complex aspects of AI project on-rampin Read more…

By Doug Black

Bright Computing 8.0 Adds Azure, Expands Machine Learning Support

May 9, 2017

Bright Computing, long a prominent provider of cluster management tools for HPC, today released version 8.0 of Bright Cluster Manager and Bright OpenStack. The Read more…

By John Russell

Microsoft Azure Will Debut Pascal GPU Instances This Year

May 8, 2017

As Nvidia's GPU Technology Conference gets underway in San Jose, Calif., Microsoft today revealed plans to add Pascal-generation GPU horsepower to its Azure clo Read more…

By Tiffany Trader

Quantum Bits: D-Wave and VW; Google Quantum Lab; IBM Expands Access

March 21, 2017

For a technology that’s usually characterized as far off and in a distant galaxy, quantum computing has been steadily picking up steam. Just how close real-wo Read more…

By John Russell

Google Pulls Back the Covers on Its First Machine Learning Chip

April 6, 2017

This week Google released a report detailing the design and performance characteristics of the Tensor Processing Unit (TPU), its custom ASIC for the inference Read more…

By Tiffany Trader

Trump Budget Targets NIH, DOE, and EPA; No Mention of NSF

March 16, 2017

President Trump’s proposed U.S. fiscal 2018 budget issued today sharply cuts science spending while bolstering military spending as he promised during the cam Read more…

By John Russell

HPC Compiler Company PathScale Seeks Life Raft

March 23, 2017

HPCwire has learned that HPC compiler company PathScale has fallen on difficult times and is asking the community for help or actively seeking a buyer for its a Read more…

By Tiffany Trader

Nvidia Responds to Google TPU Benchmarking

April 10, 2017

Last week, Google reported that its custom ASIC Tensor Processing Unit (TPU) was 15-30x faster for inferencing workloads than Nvidia's K80 GPU (see our coverage Read more…

By Tiffany Trader

CPU-based Visualization Positions for Exascale Supercomputing

March 16, 2017

Since our first formal product releases of OSPRay and OpenSWR libraries in 2016, CPU-based Software Defined Visualization (SDVis) has achieved wide-spread adopt Read more…

By Jim Jeffers, Principal Engineer and Engineering Leader, Intel

TSUBAME3.0 Points to Future HPE Pascal-NVLink-OPA Server

February 17, 2017

Since our initial coverage of the TSUBAME3.0 supercomputer yesterday, more details have come to light on this innovative project. Of particular interest is a ne Read more…

By Tiffany Trader

Facebook Open Sources Caffe2; Nvidia, Intel Rush to Optimize

April 18, 2017

From its F8 developer conference in San Jose, Calif., today, Facebook announced Caffe2, a new open-source, cross-platform framework for deep learning. Caffe2 is Read more…

By Tiffany Trader

Leading Solution Providers

Nvidia’s Mammoth Volta GPU Aims High for AI, HPC

May 10, 2017

At Nvidia's GPU Technology Conference (GTC17) in San Jose, Calif., this morning, CEO Jensen Huang announced the company's much-anticipated Volta architecture a Read more…

By Tiffany Trader

Tokyo Tech’s TSUBAME3.0 Will Be First HPE-SGI Super

February 16, 2017

In a press event Friday afternoon local time in Japan, Tokyo Institute of Technology (Tokyo Tech) announced its plans for the TSUBAME3.0 supercomputer, which w Read more…

By Tiffany Trader

Is Liquid Cooling Ready to Go Mainstream?

February 13, 2017

Lost in the frenzy of SC16 was a substantial rise in the number of vendors showing server oriented liquid cooling technologies. Three decades ago liquid cooling Read more…

By Steve Campbell

MIT Mathematician Spins Up 220,000-Core Google Compute Cluster

April 21, 2017

On Thursday, Google announced that MIT math professor and computational number theorist Andrew V. Sutherland had set a record for the largest Google Compute Eng Read more…

By Tiffany Trader

IBM Wants to be “Red Hat” of Deep Learning

January 26, 2017

IBM today announced the addition of TensorFlow and Chainer deep learning frameworks to its PowerAI suite of deep learning tools, which already includes popular Read more…

By John Russell

HPC Technique Propels Deep Learning at Scale

February 21, 2017

Researchers from Baidu's Silicon Valley AI Lab (SVAIL) have adapted a well-known HPC communication technique to boost the speed and scale of their neural networ Read more…

By Tiffany Trader

US Supercomputing Leaders Tackle the China Question

March 15, 2017

As China continues to prove its supercomputing mettle via the Top500 list and the forward march of its ambitious plans to stand up an exascale machine by 2020, Read more…

By Tiffany Trader

DOE Supercomputer Achieves Record 45-Qubit Quantum Simulation

April 13, 2017

In order to simulate larger and larger quantum systems and usher in an age of "quantum supremacy," researchers are stretching the limits of today's most advance Read more…

By Tiffany Trader

  • arrow
  • Click Here for More Headlines
  • arrow
Share This