Supercomputing Vet Champions Quantum Cause

By Nicole Hemsoth

May 13, 2013

Update: D-Wave system coming from Google and NASA … Read More

Supercomputing veteran Bo Ewald has been neck-deep in bleeding edge system development since his twelve-year stint at Cray Research back in the mid-1980s, which was followed by his tenure at large organizations like SGI and startups, including Scale Eight Corporation and Linux Networx.

As we reported earlier this month, Ewald is stepping into yet another new role, this time at the helm of the first quantum computing company, D-Wave Systems. During our recent conversation, Ewald confirmed his belief that quantum computers will be at the heart of a new wave of computing—at least for a certain set of specific optimization, machine learning and pattern recognition problems.

“This is the early days, almost like when the first Cray 1 or Thinking Machines systems came out,” Ewald reminisced. The same skepticism, scientific and business practicality questions, and the same promise exists, he argues.

D-Wave has been in development for 14 years, and has finally arrived at a commercialization opportunity to pitch from its new office in Palo Alto. With a recognizable name like Ewald front and center, it’s clear the company sees opportunities outside of its one public customer, Lockheed Martin. Ewald said he researched heavily to validate the commercial viability and will lead D-Wave’s charge into defense and intelligence, research, and other potential markets. The catch, of course, is that organizations need to have a spare $10 million or more and the right physics and math pros to tap into the programmatic possibilities.

Like the historical systems mentioned above, the company’s flagship system, the D-Wave One, was greeted with equal parts intense skepticism and excitement. With some highly publicized demos and a customer case under their belt, D-Wave thinks it can find a solid market for its 128-qubit processor-based technology, which comes wrapped in its own cryogenic and quantum-balanced unit pictured left.

The company will face a lengthy battle against perception that these quantum computers are fringe or merely experimental. However, some researchers, including Dr. Catherine McGeoch, Beitzel Professor in the Computer Science department at Amherst College, are validating performance claims. For a particular range of applications, quantum vastly outpaced conventional computing. And their work at the USC-Lockheed Martin Center for Quantum Computing continues to offer some serious credibility for, again, a certain class of optimization problems.

As with all early-stage innovations in computer science, there is a major programming and software ecosystem gap. Ewald says this is really no different than what happened with GPUs. He argues that if one thinks about the code and partitioning problems that were present with those accelerators before the software tooling was there in spades, the same story will play out. At this point, mathematicians and physicists can construct their problems numerically using the handful of tools at their disposal and then map them onto the quantum machine.

“We’re on the edge of something revolutionary,” he explained. “This is far different than traditional scientific computing and high performance computing, which is numerically intensive—it’s about crunching a lot of numbers.”

For a range of optimization problems, however, where calculating using the standard set of ones and zeros results in incredibly slow and complex equations, quantum computing relies on “mapping an optimization problem onto the quantum computer so it can instantaneously, once it reaches the quantum state, give you a better solution than the one you started with. With multiple iterations, it will arrive at the best possible answer.”

To put optimization problems into a “normal” context, imagine the following, very common scenario. There is a massive snowstorm in Chicago, which has caused grounding of an unprecedented number of flights. Airlines need to be able to quickly figure out the very best possible solution to moving planes and crews around to adapt. A few iterations on the D-Wave One, says Ewald, and there it is.

Sounds almost too good to be true. Well, there are some catches—the simplest to see is the mere complexity of the quantum process. Further, there’s the programming for these select optimization, machine learning, and pattern recognition problems.

Take a look at the photo on the left to see the inner workings of one D-Wave’s deep freeze boxes. Outside of using atoms rather than bits to solve some of the most perplexing problems in computer science, there are other elements that make D-Wave’s technology noteworthy. While Ewald couldn’t discuss details, he said the real challenge that all the years of R&D have been tackling lies in getting the qubits—the quantum bits—to engage in a way where they become entangled. At this point, the system will move to a lower energy state but there are tough hurdles to create those conditions.

The qubits need to exist at near absolute zero in terms of temperature, vibration and magnetism must be eliminated, and it must operate in a perfect vacuum. That’s a tall order, but Ewald said that the science is there and the applications are real. D-Wave has managed to create this environment to the point where they can get up to 500 qubits into a quantum state.

But theory aside, who will be installing a multi-million dollar ($10 million and up) D-Wave One in the next few years, especially at a time of crunched budgets?  Perhaps the best advertising mechanism the company has lies in its work with Lockheed Martin.  While they haven’t been overt about what problems they’re using their D-Wave setup for, the USC-Lockheed Martin Center for Quantum Computing has been very vocal about their belief in the future of quantum computing.

Lockheed took care to stress the importance of optimization problem solving–finding the best possible answer in a sea of possible answers–which means that’s where their interests likely lie. Government, intelligence and industrial uses remains unclear, but Ewald says that new uses and use cases for these systems will emerge in all areas typically reserved for HPC, including financial services, oil and gas, life sciences–the usual suspects.

“This type of computer is not intended for surfing the internet, but it does solve this narrow but important type of problem really, really fast,” said Dr. Catherine McGeoch. “There are degrees of what it can do. If you want it to solve the exact problem it’s built to solve, at the problem sizes I tested, it’s thousands of times faster than anything I’m aware of. If you want it to solve more general problems of that size, I would say it competes – it does as well as some of the best things I’ve looked at. At this point it’s merely above average but shows a promising scaling trajectory.”

For now, D-Wave stands alone in an emerging market, in much the same way Cray was the monolith at the beginning of the era it kicked off. Ewald is in the unique position of having been at the forefront of one disruptive event in technology, while rounding out his long career leading another such transition.

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!

Russian and American Scientists Achieve 50% Increase in Data Transmission Speed

September 20, 2018

As high-performance computing becomes increasingly data-intensive and the demand for shorter turnaround times grows, data transfer speed becomes an ever more important bottleneck. Now, in an article published in IEEE Tra Read more…

By Oliver Peckham

IBM to Brand Rescale’s HPC-in-Cloud Platform

September 20, 2018

HPC (or big compute)-in-the-cloud platform provider Rescale has formalized the work it’s been doing in partnership with public cloud vendors by announcing its Powered by Rescale program – with IBM as its first named Read more…

By Doug Black

Democratization of HPC Part 1: Simulation Sheds Light on Building Dispute

September 20, 2018

This is the first of three articles demonstrating the growing acceptance of High Performance Computing especially in new user communities and application areas. Major reasons for this trend are the ongoing improvements i Read more…

By Wolfgang Gentzsch

HPE Extreme Performance Solutions

Introducing the First Integrated System Management Software for HPC Clusters from HPE

How do you manage your complex, growing cluster environments? Answer that big challenge with the new HPC cluster management solution: HPE Performance Cluster Manager. Read more…

IBM Accelerated Insights

Clouds Over the Ocean – a Healthcare Perspective

Advances in precision medicine, genomics, and imaging; the widespread adoption of electronic health records; and the proliferation of medical Internet of Things (IoT) and mobile devices are resulting in an explosion of structured and unstructured healthcare-related data. Read more…

Summit Supercomputer is Already Making its Mark on Science

September 20, 2018

Summit, now the fastest supercomputer in the world, is quickly making its mark in science – five of the six finalists just announced for the prestigious 2018 Gordon Bell Prize used Summit in their work. That’s impres Read more…

By John Russell

Summit Supercomputer is Already Making its Mark on Science

September 20, 2018

Summit, now the fastest supercomputer in the world, is quickly making its mark in science – five of the six finalists just announced for the prestigious 2018 Read more…

By John Russell

House Passes $1.275B National Quantum Initiative

September 17, 2018

Last Thursday the U.S. House of Representatives passed the National Quantum Initiative Act (NQIA) intended to accelerate quantum computing research and developm Read more…

By John Russell

Nvidia Accelerates AI Inference in the Datacenter with T4 GPU

September 14, 2018

Nvidia is upping its game for AI inference in the datacenter with a new platform consisting of an inference accelerator chip--the new Turing-based Tesla T4 GPU- Read more…

By George Leopold

DeepSense Combines HPC and AI to Bolster Canada’s Ocean Economy

September 13, 2018

We often hear scientists say that we know less than 10 percent of the life of the oceans. This week, IBM and a group of Canadian industry and government partner Read more…

By Tiffany Trader

Rigetti (and Others) Pursuit of Quantum Advantage

September 11, 2018

Remember ‘quantum supremacy’, the much-touted but little-loved idea that the age of quantum computing would be signaled when quantum computers could tackle Read more…

By John Russell

How FPGAs Accelerate Financial Services Workloads

September 11, 2018

While FSI companies are unlikely, for competitive reasons, to disclose their FPGA strategies, James Reinders offers insights into the case for FPGAs as accelerators for FSI by discussing performance, power, size, latency, jitter and inline processing. Read more…

By James Reinders

Update from Gregory Kurtzer on Singularity’s Push into FS and the Enterprise

September 11, 2018

Container technology is hardly new but it has undergone rapid evolution in the HPC space in recent years to accommodate traditional science workloads and HPC systems requirements. While Docker containers continue to dominate in the enterprise, other variants are becoming important and one alternative with distinctly HPC roots – Singularity – is making an enterprise push targeting advanced scale workload inclusive of HPC. Read more…

By John Russell

At HPC on Wall Street: AI-as-a-Service Accelerates AI Journeys

September 10, 2018

AIaaS – artificial intelligence-as-a-service – is the technology discipline that eases enterprise entry into the mysteries of the AI journey while lowering Read more…

By Doug Black

TACC Wins Next NSF-funded Major Supercomputer

July 30, 2018

The Texas Advanced Computing Center (TACC) has won the next NSF-funded big supercomputer beating out rivals including the National Center for Supercomputing Ap Read more…

By John Russell

IBM at Hot Chips: What’s Next for Power

August 23, 2018

With processor, memory and networking technologies all racing to fill in for an ailing Moore’s law, the era of the heterogeneous datacenter is well underway, Read more…

By Tiffany Trader

Requiem for a Phi: Knights Landing Discontinued

July 25, 2018

On Monday, Intel made public its end of life strategy for the Knights Landing "KNL" Phi product set. The announcement makes official what has already been wide Read more…

By Tiffany Trader

CERN Project Sees Orders-of-Magnitude Speedup with AI Approach

August 14, 2018

An award-winning effort at CERN has demonstrated potential to significantly change how the physics based modeling and simulation communities view machine learni Read more…

By Rob Farber

ORNL Summit Supercomputer Is Officially Here

June 8, 2018

Oak Ridge National Laboratory (ORNL) together with IBM and Nvidia celebrated the official unveiling of the Department of Energy (DOE) Summit supercomputer toda Read more…

By Tiffany Trader

New Deep Learning Algorithm Solves Rubik’s Cube

July 25, 2018

Solving (and attempting to solve) Rubik’s Cube has delighted millions of puzzle lovers since 1974 when the cube was invented by Hungarian sculptor and archite Read more…

By John Russell

AMD’s EPYC Road to Redemption in Six Slides

June 21, 2018

A year ago AMD returned to the server market with its EPYC processor line. The earth didn’t tremble but folks took notice. People remember the Opteron fondly Read more…

By John Russell

House Passes $1.275B National Quantum Initiative

September 17, 2018

Last Thursday the U.S. House of Representatives passed the National Quantum Initiative Act (NQIA) intended to accelerate quantum computing research and developm Read more…

By John Russell

Leading Solution Providers

SC17 Booth Video Tours Playlist

Altair @ SC17

Altair

AMD @ SC17

AMD

ASRock Rack @ SC17

ASRock Rack

CEJN @ SC17

CEJN

DDN Storage @ SC17

DDN Storage

Huawei @ SC17

Huawei

IBM @ SC17

IBM

IBM Power Systems @ SC17

IBM Power Systems

Intel @ SC17

Intel

Lenovo @ SC17

Lenovo

Mellanox Technologies @ SC17

Mellanox Technologies

Microsoft @ SC17

Microsoft

Penguin Computing @ SC17

Penguin Computing

Pure Storage @ SC17

Pure Storage

Supericro @ SC17

Supericro

Tyan @ SC17

Tyan

Univa @ SC17

Univa

Sandia to Take Delivery of World’s Largest Arm System

June 18, 2018

While the enterprise remains circumspect on prospects for Arm servers in the datacenter, the leadership HPC community is taking a bolder, brighter view of the x86 server CPU alternative. Amongst current and planned Arm HPC installations – i.e., the innovative Mont-Blanc project, led by Bull/Atos, the 'Isambard’ Cray XC50 going into the University of Bristol, and commitments from both Japan and France among others -- HPE is announcing that it will be supply the United States National Nuclear Security Administration (NNSA) with a 2.3 petaflops peak Arm-based system, named Astra. Read more…

By Tiffany Trader

MLPerf – Will New Machine Learning Benchmark Help Propel AI Forward?

May 2, 2018

Let the AI benchmarking wars begin. Today, a diverse group from academia and industry – Google, Baidu, Intel, AMD, Harvard, and Stanford among them – releas Read more…

By John Russell

D-Wave Breaks New Ground in Quantum Simulation

July 16, 2018

Last Friday D-Wave scientists and colleagues published work in Science which they say represents the first fulfillment of Richard Feynman’s 1982 notion that Read more…

By John Russell

TACC’s ‘Frontera’ Supercomputer Expands Horizon for Extreme-Scale Science

August 29, 2018

The National Science Foundation and the Texas Advanced Computing Center announced today that a new system, called Frontera, will overtake Stampede 2 as the fast Read more…

By Tiffany Trader

Intel Announces Cooper Lake, Advances AI Strategy

August 9, 2018

Intel's chief datacenter exec Navin Shenoy kicked off the company's Data-Centric Innovation Summit Wednesday, the day-long program devoted to Intel's datacenter Read more…

By Tiffany Trader

GPUs Power Five of World’s Top Seven Supercomputers

June 25, 2018

The top 10 echelon of the newly minted Top500 list boasts three powerful new systems with one common engine: the Nvidia Volta V100 general-purpose graphics proc Read more…

By Tiffany Trader

The Machine Learning Hype Cycle and HPC

June 14, 2018

Like many other HPC professionals I’m following the hype cycle around machine learning/deep learning with interest. I subscribe to the view that we’re probably approaching the ‘peak of inflated expectation’ but not quite yet starting the descent into the ‘trough of disillusionment. This still raises the probability that... Read more…

By Dairsie Latimer

U.S Considering Launch of National Quantum Initiative

June 11, 2018

Sometime this month the U.S. House Science Committee will introduce legislation to launch a 10-year National Quantum Initiative, according to a recent report by Read more…

By John Russell

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