Engineering with Excellence: CAE Solutions for Manufacturing

By Bill Mannel, VP & GM, HPC Segment Solutions and Apollo Servers, Data Center Infrastructure Group, Hewlett Packard Enterprise

March 26, 2018

High performance computing (HPC) has opened the door to a new age of speed and productivity. Particularly in the manufacturing and engineering space, HPC capabilities are driving improvements to operational efficiencies and business outcomes. Yet as technologies and economic climates shift, companies must innovate rapidly in order to succeed. Escalating demands and a highly competitive marketplace are posing major challenges to today’s manufacturers—such as complying with increasing regulations, operating faster and more effectively while mitigating costs, and maintaining a competitive edge, all to maximize Total Value of Ownership (TVO), or (Total Benefits – Total Costs).

Computer-aided engineering (CAE) is a breakthrough development that is helping manufacturers create higher-quality products and accelerate time-to-market, while lowering overall costs and risks. The economic benefit of CAE is enormous, often delivering hundreds of percent in ROI. And backed by robust HPC solutions for manufacturing, companies can leverage CAE to optimize their TVO.

Hewlett Packard Enterprise (HPE) is a market-leading CAE platform vendor who offers key technologies to maximize TVO and fuel digital transformation. With powerful HPE Apollo servers and Intel® components, the HPE CAE solutions portfolio is purpose-built to reduce complexity and harness extreme performance at scale in order to streamline CAE workflows and turbocharge time-to-value.

Improving TVO and business success

CAE is becoming an increasingly vital investment for manufacturers, as innovations continue to slash production time and optimize designs. As CAE workloads continue to escalate, companies are striving to create a highly reliable infrastructure that can boost employee productivity, from engineers to suppliers, and promote a high-performing and cost-effective business operation.

The TVO framework breaks down four cost and value drivers that are foundational to CAE—total cost of ownership (TCO), productivity and quality, revenues, and risks. Along the horizontal axis, the drivers are arranged based on whether they are primarily Technology or Business drivers. Along the vertical axis, drivers are arranged based on ease of measurability: Direct or Derived. The size of the drivers—depicted as circles—indicates the importance of each driver on a manufacturing client’s TVO.

Source: High Value CAE Solutions from Hewlett Packard Enterprise, 2018

Cost and value drivers have a game-changing impact on a company’s TVO. By improving in each area, manufacturers stand to gain valuable competitive advantage and position themselves as disruptors in their field:

  •      Lower TCO – Typical expenses include one-time acquisition costs for hardware and deployment, annual software fees, maintenance fees, and operational costs. CAE enables greater performance with a similar or smaller data center footprint, which lowers data center power and cooling costs. Additionally, CAE solutions increase system reliability and simplicity, requiring fewer administrators to manage the environment and potentially lowering CAE software licensing costs.
  •      Improved Productivity/Quality – According to the TVO Framework, productivity is directly linked to product quality. CAE can improve the efficiency and effectiveness of engineers by streamlining processes, automating critical bottlenecks, minimize downtime, and much more. Investing in a turnkey HPC infrastructure with integrated compute, storage, networking, and software dramatically simplifies setup, deployment, and maintenance, and frees engineers to focus on delivering high-quality products.
  •      Higher Revenue/Growth – In this competitive marketplace, greater innovation is essential to drive profits and business growth. With faster time-to-value and a more comprehensive, better-optimized CAE ecosystem, manufacturers can propel their companies into the future.
  •      Mitigated Risk – Uptime, quality, consistency, and security are paramount for manufacturers. To mitigate risk and keep their operations up and running, companies are investing in the latest CAE and HPC technologies to accelerate processes and reduce system downtime. These tools can also streamline collaboration across the supply chain as well as ensure peak data quality, security, and performance by keeping it safe in the data center.

Creating the ideal CAE environment

With a combination of industry-leading platforms, services, and deep technical collaborations, HPE is committed to helping manufacturers innovate and succeed. HPE CAE solutions are designed to enhance cost savings, productivity/quality, revenues, and risk management to maximize TVO.

Leading the HPC systems market with 36.8% market share, HPE delivers unified compute and storage capabilities to simplify system and data management, reduce costs and complexity, and scale to deliver superior performance. Anchored on HPE Apollo servers with Intel® Xeon® Scalable Processors and Intel® Omni-Path Architecture, these solutions deliver the world’s best performance for compute and data-intensive workloads. HPE Apollo Gen10 servers are expertly engineered with density, energy efficiency, and memory in mind to optimize workflows with up to 4X more performance per square foot than white box rack servers. Now, companies can choose from small (HPE Apollo 2000) to medium (HPE Apollo 6000) to large supercomputers (HPE SGI 8600) to fit their needs.

Companies who invest in these technologies will realize major advantages:

  •      Faster time-to-value with pre-configured CAE and other software installed prior to shipping
  •      Greater productivity with lower job completion times, higher throughput, and less downtime
  •      More new product ideas and innovation derived from solving complex CAE/analytics problems with greater accuracy
  •      Better collaboration with enhanced data quality, consistency, and security by utilizing remote visualization capabilities and keeping data within the data center
  •       Easy integrating with other HPE manufacturing solutions (incl. edge, IoT, machine learning, etc.)

Better reliability, availability, and serviceability (RAS) and security features in HPE systems for CAE are in place to contain downtime and security expenses. HPE Pointnext services are offered to help companies easily and cost-effectively expand and manage their HPC deployments. Whether companies need advisory and transformation services or insight into consumption-based IT, HPE experts are available to help. And for those who need further assistance, HPE Centers of Excellence and 24/7 support services are available to help companies operate continuously.

To learn more about the incredible benefits of CAE for manufacturing, I invite you to follow me on Twitter at @Bill_Mannel. You can also visit @HPE_HPC for more information on HPC solutions that are transforming business operations.

HPE Resources

Follow @HPE_HPC

HPE on Facebook

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!

AI-Focused ‘Genius’ Supercomputer Installed at KU Leuven

April 24, 2018

Hewlett Packard Enterprise has deployed a new approximately half-petaflops supercomputer, named Genius, at Flemish research university KU Leuven. The system is built to run artificial intelligence (AI) workloads and, as Read more…

By Tiffany Trader

New Exascale System for Earth Simulation Introduced

April 23, 2018

After four years of development, the Energy Exascale Earth System Model (E3SM) will be unveiled today and released to the broader scientific community this month. The E3SM project is supported by the Department of Energy Read more…

By Staff

RSC Reports 500Tflops, Hot Water Cooled System Deployed at JINR

April 18, 2018

RSC, developer of supercomputers and advanced HPC systems based in Russia, today reported deployment of “the world's first 100% ‘hot water’ liquid cooled supercomputer” at Joint Institute for Nuclear Research (JI Read more…

By Staff

HPE Extreme Performance Solutions

Hybrid HPC is Speeding Time to Insight and Revolutionizing Medicine

High performance computing (HPC) is a key driver of success in many verticals today, and health and life science industries are extensively leveraging these capabilities. Read more…

New Device Spots Quantum Particle ‘Fingerprint’

April 18, 2018

Majorana particles have been observed by university researchers employing a device consisting of layers of magnetic insulators on a superconducting material. The advance opens the door to controlling the elusive particle Read more…

By George Leopold

AI-Focused ‘Genius’ Supercomputer Installed at KU Leuven

April 24, 2018

Hewlett Packard Enterprise has deployed a new approximately half-petaflops supercomputer, named Genius, at Flemish research university KU Leuven. The system is Read more…

By Tiffany Trader

Cray Rolls Out AMD-Based CS500; More to Follow?

April 18, 2018

Cray was the latest OEM to bring AMD back into the fold with introduction today of a CS500 option based on AMD’s Epyc processor line. The move follows Cray’ Read more…

By John Russell

IBM: Software Ecosystem for OpenPOWER is Ready for Prime Time

April 16, 2018

With key pieces of the IBM/OpenPOWER versus Intel/x86 gambit settling into place – e.g., the arrival of Power9 chips and Power9-based systems, hyperscaler sup Read more…

By John Russell

US Plans $1.8 Billion Spend on DOE Exascale Supercomputing

April 11, 2018

On Monday, the United States Department of Energy announced its intention to procure up to three exascale supercomputers at a cost of up to $1.8 billion with th Read more…

By Tiffany Trader

Cloud-Readiness and Looking Beyond Application Scaling

April 11, 2018

There are two aspects to consider when determining if an application is suitable for running in the cloud. The first, which we will discuss here under the title Read more…

By Chris Downing

Transitioning from Big Data to Discovery: Data Management as a Keystone Analytics Strategy

April 9, 2018

The past 10-15 years has seen a stark rise in the density, size, and diversity of scientific data being generated in every scientific discipline in the world. Key among the sciences has been the explosion of laboratory technologies that generate large amounts of data in life-sciences and healthcare research. Large amounts of data are now being stored in very large storage name spaces, with little to no organization and a general unease about how to approach analyzing it. Read more…

By Ari Berman, BioTeam, Inc.

IBM Expands Quantum Computing Network

April 5, 2018

IBM is positioning itself as a first mover in establishing the era of commercial quantum computing. The company believes in order for quantum to work, taming qu Read more…

By Tiffany Trader

FY18 Budget & CORAL-2 – Exascale USA Continues to Move Ahead

April 2, 2018

It was not pretty. However, despite some twists and turns, the federal government’s Fiscal Year 2018 (FY18) budget is complete and ended with some very positi Read more…

By Alex R. Larzelere

Inventor Claims to Have Solved Floating Point Error Problem

January 17, 2018

"The decades-old floating point error problem has been solved," proclaims a press release from inventor Alan Jorgensen. The computer scientist has filed for and Read more…

By Tiffany Trader

Researchers Measure Impact of ‘Meltdown’ and ‘Spectre’ Patches on HPC Workloads

January 17, 2018

Computer scientists from the Center for Computational Research, State University of New York (SUNY), University at Buffalo have examined the effect of Meltdown Read more…

By Tiffany Trader

Russian Nuclear Engineers Caught Cryptomining on Lab Supercomputer

February 12, 2018

Nuclear scientists working at the All-Russian Research Institute of Experimental Physics (RFNC-VNIIEF) have been arrested for using lab supercomputing resources to mine crypto-currency, according to a report in Russia’s Interfax News Agency. Read more…

By Tiffany Trader

How the Cloud Is Falling Short for HPC

March 15, 2018

The last couple of years have seen cloud computing gradually build some legitimacy within the HPC world, but still the HPC industry lies far behind enterprise I Read more…

By Chris Downing

Chip Flaws ‘Meltdown’ and ‘Spectre’ Loom Large

January 4, 2018

The HPC and wider tech community have been abuzz this week over the discovery of critical design flaws that impact virtually all contemporary microprocessors. T Read more…

By Tiffany Trader

How Meltdown and Spectre Patches Will Affect HPC Workloads

January 10, 2018

There have been claims that the fixes for the Meltdown and Spectre security vulnerabilities, named the KPTI (aka KAISER) patches, are going to affect applicatio Read more…

By Rosemary Francis

Nvidia Responds to Google TPU Benchmarking

April 10, 2017

Nvidia highlights strengths of its newest GPU silicon in response to Google's report on the performance and energy advantages of its custom tensor processor. Read more…

By Tiffany Trader

Deep Learning at 15 PFlops Enables Training for Extreme Weather Identification at Scale

March 19, 2018

Petaflop per second deep learning training performance on the NERSC (National Energy Research Scientific Computing Center) Cori supercomputer has given climate Read more…

By Rob Farber

Leading Solution Providers

Fast Forward: Five HPC Predictions for 2018

December 21, 2017

What’s on your list of high (and low) lights for 2017? Volta 100’s arrival on the heels of the P100? Appearance, albeit late in the year, of IBM’s Power9? Read more…

By John Russell

Lenovo Unveils Warm Water Cooled ThinkSystem SD650 in Rampup to LRZ Install

February 22, 2018

This week Lenovo took the wraps off the ThinkSystem SD650 high-density server with third-generation direct water cooling technology developed in tandem with par Read more…

By Tiffany Trader

AI Cloud Competition Heats Up: Google’s TPUs, Amazon Building AI Chip

February 12, 2018

Competition in the white hot AI (and public cloud) market pits Google against Amazon this week, with Google offering AI hardware on its cloud platform intended Read more…

By Doug Black

HPC and AI – Two Communities Same Future

January 25, 2018

According to Al Gara (Intel Fellow, Data Center Group), high performance computing and artificial intelligence will increasingly intertwine as we transition to Read more…

By Rob Farber

New Blueprint for Converging HPC, Big Data

January 18, 2018

After five annual workshops on Big Data and Extreme-Scale Computing (BDEC), a group of international HPC heavyweights including Jack Dongarra (University of Te Read more…

By John Russell

US Plans $1.8 Billion Spend on DOE Exascale Supercomputing

April 11, 2018

On Monday, the United States Department of Energy announced its intention to procure up to three exascale supercomputers at a cost of up to $1.8 billion with th Read more…

By Tiffany Trader

Momentum Builds for US Exascale

January 9, 2018

2018 looks to be a great year for the U.S. exascale program. The last several months of 2017 revealed a number of important developments that help put the U.S. Read more…

By Alex R. Larzelere

Google Chases Quantum Supremacy with 72-Qubit Processor

March 7, 2018

Google pulled ahead of the pack this week in the race toward "quantum supremacy," with the introduction of a new 72-qubit quantum processor called Bristlecone. Read more…

By Tiffany Trader

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