Machine Learning at HPC User Forum: Drilling into Specific Use Cases

By Arno Kolster

September 22, 2017

The 66th HPC User Forum held September 5-7, in Milwaukee, Wisconsin, at the elegant and historic Pfister Hotel, highlighting the 1893 Victorian décor and art of “The Grand Hotel Of The West,” contrasted nicely with presentations on the latest trends in modern computing – deep learning, machine learning and AI.

Over the course of two days of presentations, a couple common themes became obvious: First, that machine and deep learning are focused currently on specific rather than general use cases and second, that ML and DL need to be part of an integrated workflow to be effective.

This was exemplified by Dr. Maarten Sierhuis from Nissan Research Facility Silicon Valley with his presentation “Technologies for Making Self-Driving Vehicles the Norm.” One of the most engaging talks, Dr. Sierhuis’s multi-media presentation on the triumphs and challenges facing Nissan while developing its self-driving vehicle program showcased that machine and deep learning “drives” the autonomous vehicle revolution.

The challenge that Nissan and other deep learning practitioners face is that current deep learning algorithms are programmed to learn to do one thing extremely well – the specific use case: image recognition of stop signs for example. Once an algorithm learns to recognize stop signs, the same amount of discrete learning must apply for every other road sign a vehicle may encounter. To create a general-purpose “road sign learning algorithm”, not only do you need a massive amount of image data (in the tens of millions of varied images), but also the compute to power the learning effort.

Dr. Weng-Keen Wong from the NSF echoed much the same distinction between the specific and general case algorithm during his talk “Research in Deep Learning: A Perspective From NSF” and was also mentioned by Nvidia’s Dale Southard during the disruptive technology panel. Arno Kolster from Providentia Worldwide in his presentation “Machine and Deep Learning: Practical Deployments and Best Practices for the Next Two Years” claimed as well that general purpose learning algorithms are obviously the way to go, but are still some time out.

Nissans’s Dr. Sierhuis went on to highlight some challenges computers still face which human drivers take for granted. For example, what does an autonomous vehicle do when a road crew is blocking the road in front of it? As a human driver, we’d simply move into the opposite lane to “just go around”, but to algorithms, this breaks all the rules: Crossing a double line, checking the opposite lane for oncoming traffic, shoulder checking, ensuring no crossing pedestrians, etc. All need real-time re-programming for the encountering vehicle and other vehicles that arriving at the obstacle.

Nissan proposes an “FAA-like” control system, but the viability of such a system remains to be seen. Certainly, autonomous technologies are integrating slowly into new cars to augment human drivers but a complete self-driving vehicle won’t appear in the marketplace overnight -cars will continue to function in a hybrid mode for some time. Rest assured, many of today’s young folks likely will never learn how to drive (or ask their parents to borrow the car on Saturday night).

This algorithmic specificity spotlights the difficulty of integrating deep learning into an actual production workflow.

Tim Barr’s (Cray) “Perspectives on HPC-Enabled AI” showed how Cray’s HPC technologies can be leveraged for Machine and Deep Learning for vision, speech and language. Stating that it all starts with analytics, Mr. Barr illustrated how industries such as Daimler improve manufacturing processes and products by leveraging deep learning to curtail vehicle noise and reduce vibration in its newest vehicles. Nikunj Oza from NASA Ames gave examples of machine learning behind aviation safety and astronaut health maintenance in “NASA Perspective on Deep Learning.” Dr. Oza’s background in analytics brought a fresh perspective to the proceedings and showcased that machine learning from history has earned a real place alongside modeling for industrial best practices.

In the simulation space, a fascinating talk from the LLNL HPC4Mfg program was William Elmer’s (LLNL) discussion of Proctor & Gamble’s “Faster Turnaround for Multiscale Models of Paper Fiber Products.” Simulating various paper product textures and fibers greatly reduce the amount of energy from drying and compaction. Likewise, Shiloh Industries’ Hal Gerber described “High Pressure Casting for Structural Requirements and The Implications on Simulation.” Shiloh’s team leverages HPC for changing vehicle structure — especially in creating lighter components with composites like carbon fiber and mixed materials.

It’s clear from the discussion that machine learning and AI are set to be first class citizens alongside traditional simulation within the HPC community in short order. While still unproven and with a wide variety of new software implementations, HP Labs presented a first-of-its-kind analysis of ML benchmarking on HPC Platforms. Hewlett Packard Labs’ Natalia Vassilieva’s “Characterization and Benchmarking of Deep Learning” showcased the “Book of Recipes” HP Labs is developing with various hardware and software configurations. Fresh off their integration of SGI technology into their technology stack, the talk not only highlighted the newer software platforms which the learning systems leverage, but demonstrated that HPE’s portfolio of systems and experience in both HPC and hyper scale environments is impressive indeed.

Graham Anthony, CFO of BioVista spoke on the “Pursuit of Sustainable Healthcare Through Personalized Medicine With HPC.” Mr. Anthony was very passionate about the work BioVista is doing with HPE and how HPC and deep learning change the costs of healthcare by increased precision in treatment through deriving better insights from data. BioVista takes insight from deep learning and feeds that into simulations for better treatments – a true illustration that learning is here to stay, and works hand in hand with business process flows for traditional HPC.

In his talk entitled “Charliecloud: Containers are Good for More Than Serving Cat Pictures?” Reid Priedhorsky from LANL covered a wide range of topics including software stacks, design philosophy and demoed Charliecloud which enables execution of docker containers on supercomputers.

The tongue-in-cheek title about cat pictures being synonymous with deep learning image recognition is not by accident. Stand-alone image recognition is really cool, but as expounded upon above, the true benefit from deep learning is having an integrated workflow where data sources are ingested by a general purpose deep learning platform with outcomes that benefit business, industry and academia.

From the talks, it is also clear that Machine Learning, Deep Learning and AI are presently fueled more by industry than by academia. This could be due to strategic and competitive business drivers as well as the sheer amount of data that companies like Facebook, Baidu and Google have available to them driving AI research and deep learning-backed products. HPC might not be needed to push these disciplines forward and is likely why we see this trend becoming more prevalent in everyday news.

There was obvious concern from the audience about a future where machines rule the world. Ethical questions of companies knowingly replacing workers with robots or AI came up in a very lively discussion. Some argued that there is a place for both humans and AI — quieting the fear that tens of thousands of people would be replaced by algorithms and robots. Others see a more dismal human future with evil and malevolent robots taking control and little left for humans to do. These are, of course, difficult questions to answer and further debates will engage and entertain everyone as we keep moving toward an uncertain, technical future.

On a lighter note, Wednesday evening’s dinner featured a local volunteer docent, Dave Fehlauer, giving an enjoyable, informative talk on Captain Frederick Pabst: his family, his world and his well-known Milwaukee staple, The Pabst Brewing Company.

By all accounts, this was one of the most enjoyed HPC User Forums meetings. With a coherent theme and a dynamic range of presentations, the Forum kept everyone’s interest and showcased the realm of possibilities within this encouraging trend of computing, both from industry and academic research perspectives.

The next domestic HPC User Forum will be held April 16-18, 2018 at the Loews Ventana Canyon in Tucson, Arizona. See http://hpcuserforum.com for further information.

About the Author

Arno Kolster is Principal & Co-Founder of Providentia Worldwide, a technical consulting firm. Arno focuses on bridging enterprise and HPC architectures and was co-winner of IDC’s HPC Innovation Award with his partner Ryan Quick in 2012 and 2014. He was recipient of the Alan El Faye HPC Inspiration Award in 2016. Arno can be reached at [email protected].

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!

What’s New in HPC Research: Quantum Clouds, Interatomic Models, Genetic Algorithms & More

February 14, 2020

In this bimonthly feature, HPCwire highlights newly published research in the high-performance computing community and related domains. From parallel programming to exascale to quantum computing, the details are here. Read more…

By Oliver Peckham

The Massive GPU Cloudburst Experiment Plays a Smaller, More Productive Encore

February 13, 2020

In November, researchers at the San Diego Supercomputer Center (SDSC) and the IceCube Particle Astrophysics Center (WIPAC) set out to break the internet – or at least, pull off the cloud HPC equivalent. As part of thei Read more…

By Oliver Peckham

ORNL Team Develops AI-based Cancer Text Mining Tool on Summit

February 13, 2020

A group of Oak Ridge National Laboratory researchers working on the Summit supercomputer has developed a new neural network tool for fast extraction of information from cancer pathology reports to speed research and clin Read more…

By John Russell

Nature Serves up Another Challenge to Quantum Computing?

February 13, 2020

Just when you thought it was safe to assume quantum computing – though distant – would eventually succumb to clever technology, another potentially confounding factor pops up. It’s the Heisenberg Limit (HL), close Read more…

By John Russell

Researchers Enlist Three Supercomputers to Apply Deep Learning to Extreme Weather

February 12, 2020

When it comes to extreme weather, an errant forecast can have serious effects. While advance warning can give people time to prepare for the weather as it did with the polar vortex last year, the absence of accurate adva Read more…

By Oliver Peckham

AWS Solution Channel

Challenging the barriers to High Performance Computing in the Cloud

Cloud computing helps democratize High Performance Computing by placing powerful computational capabilities in the hands of more researchers, engineers, and organizations who may lack access to sufficient on-premises infrastructure. Read more…

IBM Accelerated Insights

Intelligent HPC – Keeping Hard Work at Bay(es)

Since the dawn of time, humans have looked for ways to make their lives easier. Over the centuries human ingenuity has given us inventions such as the wheel and simple machines – which help greatly with tasks that would otherwise be extremely laborious. Read more…

Eni to Retake Industry HPC Crown with Launch of HPC5

February 12, 2020

With the launch of its Dell-built HPC5 system, Italian energy company Eni regains its position atop the industrial supercomputing leaderboard. At 52-petaflops peak, HPC5 should easily crack the top ten fold of the next T Read more…

By Tiffany Trader

The Massive GPU Cloudburst Experiment Plays a Smaller, More Productive Encore

February 13, 2020

In November, researchers at the San Diego Supercomputer Center (SDSC) and the IceCube Particle Astrophysics Center (WIPAC) set out to break the internet – or Read more…

By Oliver Peckham

Eni to Retake Industry HPC Crown with Launch of HPC5

February 12, 2020

With the launch of its Dell-built HPC5 system, Italian energy company Eni regains its position atop the industrial supercomputing leaderboard. At 52-petaflops p Read more…

By Tiffany Trader

Trump Budget Proposal Again Slashes Science Spending

February 11, 2020

President Donald Trump’s FY2021 U.S. Budget, submitted to Congress this week, again slashes science spending. It’s a $4.8 trillion statement of priorities, Read more…

By John Russell

Policy: Republicans Eye Bigger Science Budgets; NSF Celebrates 70th, Names Idea Machine Winners

February 5, 2020

It’s a busy week for science policy. Yesterday, the National Science Foundation announced winners of its 2026 Idea Machine contest seeking directions for futu Read more…

By John Russell

Fujitsu A64FX Supercomputer to Be Deployed at Nagoya University This Summer

February 3, 2020

Japanese tech giant Fujitsu announced today that it will supply Nagoya University Information Technology Center with the first commercial supercomputer powered Read more…

By Tiffany Trader

Intel Stopping Nervana Development to Focus on Habana AI Chips

February 3, 2020

Just two months after acquiring Israeli AI chip start-up Habana Labs for $2 billion, Intel is stopping development of its existing Nervana neural network proces Read more…

By John Russell

Lise Supercomputer, Part of HLRN-IV, Begins Operations

January 29, 2020

The second phase of the build-out of HLRN-IV – the planned 16 peak-petaflops supercomputer serving the North-German Supercomputing Alliance (HLRN) – is unde Read more…

By Staff report

IBM Debuts IC922 Power Server for AI Inferencing and Data Management

January 28, 2020

IBM today launched a Power9-based inference server – the IC922 – that features up to six Nvidia T4 GPUs, PCIe Gen 4 and OpenCAPI connectivity, and can accom Read more…

By John Russell

Julia Programming’s Dramatic Rise in HPC and Elsewhere

January 14, 2020

Back in 2012 a paper by four computer scientists including Alan Edelman of MIT introduced Julia, A Fast Dynamic Language for Technical Computing. At the time, t Read more…

By John Russell

Cray, Fujitsu Both Bringing Fujitsu A64FX-based Supercomputers to Market in 2020

November 12, 2019

The number of top-tier HPC systems makers has shrunk due to a steady march of M&A activity, but there is increased diversity and choice of processing compon Read more…

By Tiffany Trader

SC19: IBM Changes Its HPC-AI Game Plan

November 25, 2019

It’s probably fair to say IBM is known for big bets. Summit supercomputer – a big win. Red Hat acquisition – looking like a big win. OpenPOWER and Power processors – jury’s out? At SC19, long-time IBMer Dave Turek sketched out a different kind of bet for Big Blue – a small ball strategy, if you’ll forgive the baseball analogy... Read more…

By John Russell

Intel Debuts New GPU – Ponte Vecchio – and Outlines Aspirations for oneAPI

November 17, 2019

Intel today revealed a few more details about its forthcoming Xe line of GPUs – the top SKU is named Ponte Vecchio and will be used in Aurora, the first plann Read more…

By John Russell

Dell Ramps Up HPC Testing of AMD Rome Processors

October 21, 2019

Dell Technologies is wading deeper into the AMD-based systems market with a growing evaluation program for the latest Epyc (Rome) microprocessors from AMD. In a Read more…

By John Russell

IBM Unveils Latest Achievements in AI Hardware

December 13, 2019

“The increased capabilities of contemporary AI models provide unprecedented recognition accuracy, but often at the expense of larger computational and energet Read more…

By Oliver Peckham

SC19: Welcome to Denver

November 17, 2019

A significant swath of the HPC community has come to Denver for SC19, which began today (Sunday) with a rich technical program. As is customary, the ribbon cutt Read more…

By Tiffany Trader

D-Wave’s Path to 5000 Qubits; Google’s Quantum Supremacy Claim

September 24, 2019

On the heels of IBM’s quantum news last week come two more quantum items. D-Wave Systems today announced the name of its forthcoming 5000-qubit system, Advantage (yes the name choice isn’t serendipity), at its user conference being held this week in Newport, RI. Read more…

By John Russell

Leading Solution Providers

SC 2019 Virtual Booth Video Tour

AMD
AMD
ASROCK RACK
ASROCK RACK
AWS
AWS
CEJN
CJEN
CRAY
CRAY
DDN
DDN
DELL EMC
DELL EMC
IBM
IBM
MELLANOX
MELLANOX
ONE STOP SYSTEMS
ONE STOP SYSTEMS
PANASAS
PANASAS
SIX NINES IT
SIX NINES IT
VERNE GLOBAL
VERNE GLOBAL
WEKAIO
WEKAIO

Jensen Huang’s SC19 – Fast Cars, a Strong Arm, and Aiming for the Cloud(s)

November 20, 2019

We’ve come to expect Nvidia CEO Jensen Huang’s annual SC keynote to contain stunning graphics and lively bravado (with plenty of examples) in support of GPU Read more…

By John Russell

51,000 Cloud GPUs Converge to Power Neutrino Discovery at the South Pole

November 22, 2019

At the dead center of the South Pole, thousands of sensors spanning a cubic kilometer are buried thousands of meters beneath the ice. The sensors are part of Ic Read more…

By Oliver Peckham

Fujitsu A64FX Supercomputer to Be Deployed at Nagoya University This Summer

February 3, 2020

Japanese tech giant Fujitsu announced today that it will supply Nagoya University Information Technology Center with the first commercial supercomputer powered Read more…

By Tiffany Trader

Top500: US Maintains Performance Lead; Arm Tops Green500

November 18, 2019

The 54th Top500, revealed today at SC19, is a familiar list: the U.S. Summit (ORNL) and Sierra (LLNL) machines, offering 148.6 and 94.6 petaflops respectively, Read more…

By Tiffany Trader

Azure Cloud First with AMD Epyc Rome Processors

November 6, 2019

At Ignite 2019 this week, Microsoft's Azure cloud team and AMD announced an expansion of their partnership that began in 2017 when Azure debuted Epyc-backed instances for storage workloads. The fourth-generation Azure D-series and E-series virtual machines previewed at the Rome launch in August are now generally available. Read more…

By Tiffany Trader

Intel’s New Hyderabad Design Center Targets Exascale Era Technologies

December 3, 2019

Intel's Raja Koduri was in India this week to help launch a new 300,000 square foot design and engineering center in Hyderabad, which will focus on advanced com Read more…

By Tiffany Trader

Using AI to Solve One of the Most Prevailing Problems in CFD

October 17, 2019

How can artificial intelligence (AI) and high-performance computing (HPC) solve mesh generation, one of the most commonly referenced problems in computational engineering? A new study has set out to answer this question and create an industry-first AI-mesh application... Read more…

By James Sharpe

In Memoriam: Steve Tuecke, Globus Co-founder

November 4, 2019

HPCwire is deeply saddened to report that Steve Tuecke, longtime scientist at Argonne National Lab and University of Chicago, has passed away at age 52. Tuecke Read more…

By Tiffany Trader

  • arrow
  • Click Here for More Headlines
  • arrow
Do NOT follow this link or you will be banned from the site!
Share This