ORNL Studies Quantum, HPC, and Neuromorphic Computing for Deep Learning

By John Russell

April 3, 2017

Deep learning presents many opportunities and challenges. Training is a good example of the latter – it can take months or longer. An Oak Ridge National Laboratory-led team is studying how quantum computing, traditional HPC, and neuromorphic computing might be used to improve deep learning and their early work suggests each has strengths that could be leveraged independently or when used in concert with the others.

The work is presented in a paper (A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers), posted on arxiv.org and also summarized in a short article (Computing – Quantum deep) on the ORNL web site. “[We] evaluate deep learning models using three different computing architectures to address these problems: quantum computing to train complex topologies, high performance computing (HPC) to automatically determine network topology, and neuromorphic computing for a low-power hardware implementation.

Thomas Potok, ORNL

“Our results show the feasibility of using the three architectures in tandem to address the above deep learning limitations. We show a quantum computer can find high quality values of intra-layer connections weights, in a tractable time as the complexity of the network increases; a high performance computer can find optimal layer-based topologies; and a neuromorphic computer can represent the complex topology and weights derived from the other architectures in low power memristive hardware,” write the study team led by Thomas Potok, ORN’s Computational Data Analytics Group.

Here’s a snapshot of the computational resources used or planned for use by the researchers:

  • “The quantum computer we are using is a D-Wave adiabatic quantum computer located at the University of Southern California Lockheed Martin Quantum Computing Center.”
  • The HPC resource is ORNL’s Titan computer with roughly 300,000 cores, and 18,000 GPUs. “Utilizing 500 nodes of Titan, the evolutionary algorithm was trained for 32 generations with 500 individuals in the population allowing us to evaluate 16,000 networks.”
  • The neuromorphic system “we will use to explore the MNIST problem is a memristive implementation of the neuroscience-inspired dynamic architectures (NIDA) system. NIDA is a simple SNN model composed of integrate-and-fire neurons and synapses with delays and weights that are affected by processes similar to long-term potentiation and long-term depression in biological brains. A digital hardware implementation based on NIDA, called Dynamic Adaptive Neural Network Array (DANNA), has also been created and is currently implemented on FPGA with a digital VLSI implementation in progress.”

There’s discussion of the strengths and weaknesses for each for each of  the three architectures: Quantum computers, for example, show promise but also impose constraints because of their ‘small’ size – “We use the MNIST dataset for our experiment, due to input size limitations of current quantum computers.”

Overall the work demonstrated the possibility of using “these three architectures to solve complex deep learning networks that are currently untrainable using a von Neumann architecture,” wrote the authors. Three highlights:

  • The quantum computer experiment demonstrated that “a complex neural network, i.e., one with intra-layer connections, can be successfully trained on the MNIST problem. This is a key advantage for a quantum approach and opens the possibility of training very complex networks.”
  • A HPC system “can be used to take the complex networks as building blocks and compare thousands of models to find the best performing networks for a given problem.”
  • The “best performing neural network and weights can be implemented into a complex network of memristors producing a low-power hardware device. This is a capability that is not feasible with a von Neumann architecture. This holds the potential to solve much more complicated problems than can currently be solved with deep learning.”

Link to full paper: https://arxiv.org/abs/1703.05364

Link to ORNL article: https://www.ornl.gov/news/computing-quantum-deep

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!

The Present and Future of AI: A Discussion with HPC Visionary Dr. Eng Lim Goh

November 27, 2020

As HPE’s chief technology officer for artificial intelligence, Dr. Eng Lim Goh devotes much of his time talking and consulting with enterprise customers about how AI can benefit their business operations and products. Read more…

By Todd R. Weiss

SC20 Panel – OK, You Hate Storage Tiering. What’s Next Then?

November 25, 2020

Tiering in HPC storage has a bad rep. No one likes it. It complicates things and slows I/O. At least one storage technology newcomer – VAST Data – advocates dumping the whole idea. One large-scale user, NERSC storage architect Glenn Lockwood sort of agrees. The challenge, of course, is that tiering... Read more…

By John Russell

Exscalate4CoV Runs 70 Billion-Molecule Coronavirus Simulation

November 25, 2020

The winds of the pandemic are changing – for better and for worse. Three viable vaccines now teeter on the brink of regulatory approval, which will pave the way for broad distribution by April or May. But until then, COVID-19 cases are skyrocketing across the U.S. and Europe... Read more…

By Oliver Peckham

Azure Scaled to Record 86,400 Cores for Molecular Dynamics

November 20, 2020

A new record for HPC scaling on the public cloud has been achieved on Microsoft Azure. Led by Dr. Jer-Ming Chia, the cloud provider partnered with the Beckman Institute for Advanced Science and Technology at the Universi Read more…

By Oliver Peckham

Gordon Bell Special Prize Goes to Massive SARS-CoV-2 Simulations

November 19, 2020

2020 has proven a harrowing year – but it has produced remarkable heroes. To that end, this year, the Association for Computing Machinery (ACM) introduced the Gordon Bell Special Prize for High Performance Computing-Ba Read more…

By Oliver Peckham

AWS Solution Channel

Introducing AWS ParallelCluster as an Intel Select Solution

High performance computing (HPC) system owners can spend weeks or months researching, procuring, and assembling components to build HPC clusters to run their workloads. Understanding and managing the complexities of compute, storage, networking, and software requirements can be confusing and time-consuming, slowing innovation and results. Read more…

Intel® HPC + AI Pavilion

Intel Keynote Address

Intel is the foundation of HPC – from the workstation to the cloud to the backbone of the Top500. At SC20, Intel’s Trish Damkroger, VP and GM of high performance computing, addresses the audience to show how Intel and its partners are building the future of HPC today, through hardware and software technologies that accelerate the broad deployment of advanced HPC systems. Read more…

Gordon Bell Prize Winner Breaks Ground in AI-Infused Ab Initio Simulation

November 19, 2020

The race to blend deep learning and first-principle simulation to speed up solutions and scale up problems tackled is one of the most exciting research areas in computational science today. This year’s ACM Gordon Bell Prize winner announced today at SC20 makes significant progress in that direction. Read more…

By John Russell

The Present and Future of AI: A Discussion with HPC Visionary Dr. Eng Lim Goh

November 27, 2020

As HPE’s chief technology officer for artificial intelligence, Dr. Eng Lim Goh devotes much of his time talking and consulting with enterprise customers about Read more…

By Todd R. Weiss

SC20 Panel – OK, You Hate Storage Tiering. What’s Next Then?

November 25, 2020

Tiering in HPC storage has a bad rep. No one likes it. It complicates things and slows I/O. At least one storage technology newcomer – VAST Data – advocates dumping the whole idea. One large-scale user, NERSC storage architect Glenn Lockwood sort of agrees. The challenge, of course, is that tiering... Read more…

By John Russell

Exscalate4CoV Runs 70 Billion-Molecule Coronavirus Simulation

November 25, 2020

The winds of the pandemic are changing – for better and for worse. Three viable vaccines now teeter on the brink of regulatory approval, which will pave the way for broad distribution by April or May. But until then, COVID-19 cases are skyrocketing across the U.S. and Europe... Read more…

By Oliver Peckham

Azure Scaled to Record 86,400 Cores for Molecular Dynamics

November 20, 2020

A new record for HPC scaling on the public cloud has been achieved on Microsoft Azure. Led by Dr. Jer-Ming Chia, the cloud provider partnered with the Beckman I Read more…

By Oliver Peckham

Gordon Bell Special Prize Goes to Massive SARS-CoV-2 Simulations

November 19, 2020

2020 has proven a harrowing year – but it has produced remarkable heroes. To that end, this year, the Association for Computing Machinery (ACM) introduced the Read more…

By Oliver Peckham

Gordon Bell Prize Winner Breaks Ground in AI-Infused Ab Initio Simulation

November 19, 2020

The race to blend deep learning and first-principle simulation to speed up solutions and scale up problems tackled is one of the most exciting research areas in computational science today. This year’s ACM Gordon Bell Prize winner announced today at SC20 makes significant progress in that direction. Read more…

By John Russell

SC20 Keynote: Climate, Exascale & the Ultimate Answer

November 19, 2020

SC20’s keynote was delivered by renowned meteorologist and climatologist Bjorn Stevens, a director at the Max Planck Institute for Meteorology since 2008 and a professor at the University of Hamburg. In his keynote, Stevens traced the history of climate science from its earliest days through... Read more…

By Oliver Peckham

EuroHPC Exec. Dir. Talks Procurement, EPI, and Europe’s Efforts to Control its HPC Destiny

November 19, 2020

While much of the HPC community’s attention is fixed on SC20’s flood of news and new product announcements, Anders Dam Jensen, the newly-minted executive di Read more…

By Steve Conway

Nvidia Said to Be Close on Arm Deal

August 3, 2020

GPU leader Nvidia Corp. is in talks to buy U.K. chip designer Arm from parent company Softbank, according to several reports over the weekend. If consummated Read more…

By George Leopold

Supercomputer-Powered Research Uncovers Signs of ‘Bradykinin Storm’ That May Explain COVID-19 Symptoms

July 28, 2020

Doctors and medical researchers have struggled to pinpoint – let alone explain – the deluge of symptoms induced by COVID-19 infections in patients, and what Read more…

By Oliver Peckham

Azure Scaled to Record 86,400 Cores for Molecular Dynamics

November 20, 2020

A new record for HPC scaling on the public cloud has been achieved on Microsoft Azure. Led by Dr. Jer-Ming Chia, the cloud provider partnered with the Beckman I Read more…

By Oliver Peckham

Google Hires Longtime Intel Exec Bill Magro to Lead HPC Strategy

September 18, 2020

In a sign of the times, another prominent HPCer has made a move to a hyperscaler. Longtime Intel executive Bill Magro joined Google as chief technologist for hi Read more…

By Tiffany Trader

HPE Keeps Cray Brand Promise, Reveals HPE Cray Supercomputing Line

August 4, 2020

The HPC community, ever-affectionate toward Cray and its eponymous founder, can breathe a (virtual) sigh of relief. The Cray brand will live on, encompassing th Read more…

By Tiffany Trader

10nm, 7nm, 5nm…. Should the Chip Nanometer Metric Be Replaced?

June 1, 2020

The biggest cool factor in server chips is the nanometer. AMD beating Intel to a CPU built on a 7nm process node* – with 5nm and 3nm on the way – has been i Read more…

By Doug Black

NICS Unleashes ‘Kraken’ Supercomputer

April 4, 2008

A Cray XT4 supercomputer, dubbed Kraken, is scheduled to come online in mid-summer at the National Institute for Computational Sciences (NICS). The soon-to-be petascale system, and the resulting NICS organization, are the result of an NSF Track II award of $65 million to the University of Tennessee and its partners to provide next-generation supercomputing for the nation's science community. Read more…

Is the Nvidia A100 GPU Performance Worth a Hardware Upgrade?

October 16, 2020

Over the last decade, accelerators have seen an increasing rate of adoption in high-performance computing (HPC) platforms, and in the June 2020 Top500 list, eig Read more…

By Hartwig Anzt, Ahmad Abdelfattah and Jack Dongarra

Leading Solution Providers

Contributors

Aurora’s Troubles Move Frontier into Pole Exascale Position

October 1, 2020

Intel’s 7nm node delay has raised questions about the status of the Aurora supercomputer that was scheduled to be stood up at Argonne National Laboratory next year. Aurora was in the running to be the United States’ first exascale supercomputer although it was on a contemporaneous timeline with... Read more…

By Tiffany Trader

European Commission Declares €8 Billion Investment in Supercomputing

September 18, 2020

Just under two years ago, the European Commission formalized the EuroHPC Joint Undertaking (JU): a concerted HPC effort (comprising 32 participating states at c Read more…

By Oliver Peckham

At Oak Ridge, ‘End of Life’ Sometimes Isn’t

October 31, 2020

Sometimes, the old dog actually does go live on a farm. HPC systems are often cursed with short lifespans, as they are continually supplanted by the latest and Read more…

By Oliver Peckham

Texas A&M Announces Flagship ‘Grace’ Supercomputer

November 9, 2020

Texas A&M University has announced its next flagship system: Grace. The new supercomputer, named for legendary programming pioneer Grace Hopper, is replacing the Ada system (itself named for mathematician Ada Lovelace) as the primary workhorse for Texas A&M’s High Performance Research Computing (HPRC). Read more…

By Oliver Peckham

Top500: Fugaku Keeps Crown, Nvidia’s Selene Climbs to #5

November 16, 2020

With the publication of the 56th Top500 list today from SC20's virtual proceedings, Japan's Fugaku supercomputer – now fully deployed – notches another win, Read more…

By Tiffany Trader

Nvidia and EuroHPC Team for Four Supercomputers, Including Massive ‘Leonardo’ System

October 15, 2020

The EuroHPC Joint Undertaking (JU) serves as Europe’s concerted supercomputing play, currently comprising 32 member states and billions of euros in funding. I Read more…

By Oliver Peckham

Microsoft Azure Adds A100 GPU Instances for ‘Supercomputer-Class AI’ in the Cloud

August 19, 2020

Microsoft Azure continues to infuse its cloud platform with HPC- and AI-directed technologies. Today the cloud services purveyor announced a new virtual machine Read more…

By Tiffany Trader

Nvidia-Arm Deal a Boon for RISC-V?

October 26, 2020

The $40 billion blockbuster acquisition deal that will bring chipmaker Arm into the Nvidia corporate family could provide a boost for the competing RISC-V architecture. As regulators in the U.S., China and the European Union begin scrutinizing the impact of the blockbuster deal on semiconductor industry competition and innovation, the deal has at the very least... Read more…

By George Leopold

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