Fujitsu Launches Next Generation Quantum-Inspired Digital Annealer Service

December 21, 2018

TOKYO, Dec 21, 2018 — Fujitsu has announced the Japanese launch of the second generation of its Fujitsu Quantum-Inspired Computing Digital Annealer Cloud Service. The service utilizes Fujitsu’s unique Digital Annealer architecture to quickly solve combinatorial optimization problems, drawing on an innovative design inspired by quantum phenomena. The second generation of the service expands the scale of problems that can be solved from the 1,024 bits of the first generation, launched in May 2018, to 8,192 bits, leading to substantial gains in precision and performance for enhanced problem-solving and new applications. Fujitsu plans to roll out the service to North America and Europe during fiscal 2018 (Fujitsu’s fiscal year ends March 31), and thereafter to the rest of Asia as well. The second generation service can be applied to increasingly complex real-world problems in businesses and society, including manufacturing, financial services, retail and distribution as well as drug discovery, and can be expected to see use in various industries and fields.

Digital Annealer On-Premises server

Fujitsu will offer the Fujitsu Quantum-inspired Computing Digital Annealer as an On-Premises Service starting in February 2019. With the new service, servers supporting the second generation of Digital Annealer technology can be installed in customer datacenters.

The Digital Annealer is a core technology developed to accelerate digital innovation. With advanced technological capabilities refined through developing supercomputers, an abundant track record of systems integration, and engineers with expertise in such areas as consulting, systems engineering, and research and development, Fujitsu maintains its commitment to promote transformative technological innovations. Delivering the Digital Annealer solution to businesses in order to solve complex, large scale problems, Fujitsu is able to contribute to the evolution of customer operations and potentially new customer business models.

Background

Fujitsu Laboratories Ltd. developed the Digital Annealer as a dedicated architecture for solving combinatorial optimization problems, which involve finding optimal solutions for real-world problems in which large numbers of potential combinations exist. In May of this year, Fujitsu Limited launched a cloud-based service using this architecture to solve problems of a scale that could be expressed in up to 1,024 bits. As it was necessary to improve the scale and precision of the technology in order to handle larger scale, more complex problems, Fujitsu developed the next generation Digital Annealing Unit (DAU), a dedicated processor for the Digital Annealer that makes use of ultra-high-density circuit integration technology refined through the development of high-performance processors. This breakthrough development has expanded the scale of the number of connections between bits from the current 1,024 to up to 8,192, and the coupling precision from 16 bits of gradation to a maximum of 64 bits, for 18.45 quintillion gradations. These enhanced performance specifications allow for the application of this technology to solve even larger scale problems – previously unsolvable, while also dramatically improving processing performance by a factor of 100 compared with the existing first generation of the Digital Annealer. With the next generation service, the Digital Annealer technology can be applied to more complex problems, including the optimization of production lines for entire factory floors, or drug discovery focused on intermediate-sized molecules.

Features of the Service

Digital Annealing Unit (DAU)

Customers will be able to use the second generation (maximum of 8,192 bits) Digital Annealer via the internet with Fujitsu’s Digital Annealer Cloud Service, as well as the Digital Annealer On-Premises Service, through which servers are installed in customer datacenters for onsite usage.

1. Provides world-class scale and precision with full bit intercoupling

The Digital Annealer employs a fully coupled design that can handle the strength of all couplings between bits, and owing to that all 8,192 bit values are fully coupled and mutually interconnected. Moreover, because the strength of the coupling between bits can be expressed in detail with up to 64 bits, providing 18.45 quintillion gradations, the Digital Annealer can solve even large-scale, complex problems that cannot be solved by current Ising machines or quantum annealing machines.

2. Stable operations due to digital circuitry

The Digital Annealer employs digital circuitry in its design, and as a result operates stably at room temperature without specialized cooling equipment, and results will not be significantly impacted by noise.

3. Automatic tuning mode option available

Previously, applying the Digital Annealer to combinatorial optimization problems demanded expert knowledge and hours of work in order to determine control parameters most, appropriate for the problem. Now, by incorporating technology to automatically adjust control parameters based on results observed during the computation process, Fujitsu has created an automatic tuning function. This will enable customers to get solutions without adjusting Digital Annealer control parameters themselves.

Future Plans

Going forward, Fujitsu aims to provide support for even larger scale combinatorial optimization problems of up to 1 million bits through technologies like the problem segmentation technology(1) developed by Fujitsu Laboratories, thereby contributing to new business applications in a wide variety of fields, such as drug discovery, chemistry, transportation, finance, and logistics. In addition, Fujitsu plans to expand the use of the Digital Annealer in various regions, under the lead of Fujitsu Intelligence Technology, a new company developing Fujitsu’s global AI business that began operations in Vancouver, Canada, in November 2018.

Pricing and Availability
http://www.acnnewswire.com/topimg/Low_FujitsuPricingAvailability122118.jpg

Sales Target
Fujitsu aims for sales of 100 billion yen in the five years leading up to fiscal 2022.

(1) Problem segmentation technology Enables Digital Annealer technology to be applied to large-scale problems by using a method that finds the optimal solution by repeatedly extracting essential portions of the problem, based on the problem’s characteristics, processing them with the Digital Annealer, and then returning the results to the overall problem. Fujitsu Technology to Solve Combinatorial Optimization Problems for Medium-Sized Drug Discovery (press release, September 18, 2018)

About Fujitsu Ltd

Fujitsu is the leading Japanese information and communication technology (ICT) company, offering a full range of technology products, solutions, and services. Approximately 140,000 Fujitsu people support customers in more than 100 countries. We use our experience and the power of ICT to shape the future of society with our customers. Fujitsu Limited (TSE: 6702) reported consolidated revenues of 4.1 trillion yen (US $39 billion) for the fiscal year ended March 31, 2018.

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!

Top Ten Ways AI Affects HPC in 2019

March 26, 2019

AI workloads are becoming ubiquitous, including running on the world’s fastest computers — thereby changing what we call HPC forever. As every organization plans for the future, AI workloads are on our minds — how Read more…

By James Reinders

GTC 2019: Chief Scientist Bill Dally Provides Glimpse into Nvidia Research Engine

March 22, 2019

Amid the frenzy of GTC this week – Nvidia’s annual conference showcasing all things GPU (and now AI) – William Dally, chief scientist and SVP of research, provided a brief but insightful portrait of Nvidia’s rese Read more…

By John Russell

ORNL Helps Identify Challenges of Extremely Heterogeneous Architectures

March 21, 2019

Exponential growth in classical computing over the last two decades has produced hardware and software that support lightning-fast processing speeds, but advancements are topping out as computing architectures reach thei Read more…

By Laurie Varma

HPE Extreme Performance Solutions

HPE and Intel® Omni-Path Architecture: How to Power a Cloud

Learn how HPE and Intel® Omni-Path Architecture provide critical infrastructure for leading Nordic HPC provider’s HPCFLOW cloud service.

powercloud_blog.jpgFor decades, HPE has been at the forefront of high-performance computing, and we’ve powered some of the fastest and most robust supercomputers in the world. Read more…

IBM Accelerated Insights

Insurance: Where’s the Risk?

Insurers are facing extreme competitive challenges in their core businesses. Property and Casualty (P&C) and Life and Health (L&H) firms alike are highly impacted by the ongoing globalization, increasing regulation, and digital transformation of their client bases. Read more…

Interview with 2019 Person to Watch Jim Keller

March 21, 2019

On the heels of Intel's reaffirmation that it will deliver the first U.S. exascale computer in 2021, which will feature the company's new Intel Xe architecture, we bring you our interview with our 2019 Person to Watch Jim Keller, head of the Silicon Engineering Group at Intel. Read more…

By HPCwire Editorial Team

Top Ten Ways AI Affects HPC in 2019

March 26, 2019

AI workloads are becoming ubiquitous, including running on the world’s fastest computers — thereby changing what we call HPC forever. As every organization Read more…

By James Reinders

GTC 2019: Chief Scientist Bill Dally Provides Glimpse into Nvidia Research Engine

March 22, 2019

Amid the frenzy of GTC this week – Nvidia’s annual conference showcasing all things GPU (and now AI) – William Dally, chief scientist and SVP of research, Read more…

By John Russell

At GTC: Nvidia Expands Scope of Its AI and Datacenter Ecosystem

March 19, 2019

In the high-stakes race to provide the AI life-cycle solution of choice, three of the biggest horses in the field are IBM, Intel and Nvidia. While the latter is only a fraction of the size of its two bigger rivals, and has been in business for only a fraction of the time, Nvidia continues to impress with an expanding array of new GPU-based hardware, software, robotics, partnerships and... Read more…

By Doug Black

Nvidia Debuts Clara AI Toolkit with Pre-Trained Models for Radiology Use

March 19, 2019

AI’s push into healthcare got a boost yesterday with Nvidia’s release of the Clara Deploy AI toolkit which includes 13 pre-trained models for use in radiolo Read more…

By John Russell

It’s Official: Aurora on Track to Be First US Exascale Computer in 2021

March 18, 2019

The U.S. Department of Energy along with Intel and Cray confirmed today that an Intel/Cray supercomputer, "Aurora," capable of sustained performance of one exaf Read more…

By Tiffany Trader

Why Nvidia Bought Mellanox: ‘Future Datacenters Will Be…Like High Performance Computers’

March 14, 2019

“Future datacenters of all kinds will be built like high performance computers,” said Nvidia CEO Jensen Huang during a phone briefing on Monday after Nvidia revealed scooping up the high performance networking company Mellanox for $6.9 billion. Read more…

By Tiffany Trader

Oil and Gas Supercloud Clears Out Remaining Knights Landing Inventory: All 38,000 Wafers

March 13, 2019

The McCloud HPC service being built by Australia’s DownUnder GeoSolutions (DUG) outside Houston is set to become the largest oil and gas cloud in the world th Read more…

By Tiffany Trader

Quick Take: Trump’s 2020 Budget Spares DoE-funded HPC but Slams NSF and NIH

March 12, 2019

U.S. President Donald Trump’s 2020 budget request, released yesterday, proposes deep cuts in many science programs but seems to spare HPC funding by the Depar Read more…

By John Russell

Quantum Computing Will Never Work

November 27, 2018

Amid the gush of money and enthusiastic predictions being thrown at quantum computing comes a proposed cold shower in the form of an essay by physicist Mikhail Read more…

By John Russell

The Case Against ‘The Case Against Quantum Computing’

January 9, 2019

It’s not easy to be a physicist. Richard Feynman (basically the Jimi Hendrix of physicists) once said: “The first principle is that you must not fool yourse Read more…

By Ben Criger

Why Nvidia Bought Mellanox: ‘Future Datacenters Will Be…Like High Performance Computers’

March 14, 2019

“Future datacenters of all kinds will be built like high performance computers,” said Nvidia CEO Jensen Huang during a phone briefing on Monday after Nvidia revealed scooping up the high performance networking company Mellanox for $6.9 billion. Read more…

By Tiffany Trader

ClusterVision in Bankruptcy, Fate Uncertain

February 13, 2019

ClusterVision, European HPC specialists that have built and installed over 20 Top500-ranked systems in their nearly 17-year history, appear to be in the midst o Read more…

By Tiffany Trader

Intel Reportedly in $6B Bid for Mellanox

January 30, 2019

The latest rumors and reports around an acquisition of Mellanox focus on Intel, which has reportedly offered a $6 billion bid for the high performance interconn Read more…

By Doug Black

Looking for Light Reading? NSF-backed ‘Comic Books’ Tackle Quantum Computing

January 28, 2019

Still baffled by quantum computing? How about turning to comic books (graphic novels for the well-read among you) for some clarity and a little humor on QC. The Read more…

By John Russell

It’s Official: Aurora on Track to Be First US Exascale Computer in 2021

March 18, 2019

The U.S. Department of Energy along with Intel and Cray confirmed today that an Intel/Cray supercomputer, "Aurora," capable of sustained performance of one exaf Read more…

By Tiffany Trader

Contract Signed for New Finnish Supercomputer

December 13, 2018

After the official contract signing yesterday, configuration details were made public for the new BullSequana system that the Finnish IT Center for Science (CSC Read more…

By Tiffany Trader

Leading Solution Providers

SC 18 Virtual Booth Video Tour

Advania @ SC18 AMD @ SC18
ASRock Rack @ SC18
DDN Storage @ SC18
HPE @ SC18
IBM @ SC18
Lenovo @ SC18 Mellanox Technologies @ SC18
NVIDIA @ SC18
One Stop Systems @ SC18
Oracle @ SC18 Panasas @ SC18
Supermicro @ SC18 SUSE @ SC18 TYAN @ SC18
Verne Global @ SC18

Deep500: ETH Researchers Introduce New Deep Learning Benchmark for HPC

February 5, 2019

ETH researchers have developed a new deep learning benchmarking environment – Deep500 – they say is “the first distributed and reproducible benchmarking s Read more…

By John Russell

IBM Quantum Update: Q System One Launch, New Collaborators, and QC Center Plans

January 10, 2019

IBM made three significant quantum computing announcements at CES this week. One was introduction of IBM Q System One; it’s really the integration of IBM’s Read more…

By John Russell

IBM Bets $2B Seeking 1000X AI Hardware Performance Boost

February 7, 2019

For now, AI systems are mostly machine learning-based and “narrow” – powerful as they are by today's standards, they're limited to performing a few, narro Read more…

By Doug Black

The Deep500 – Researchers Tackle an HPC Benchmark for Deep Learning

January 7, 2019

How do you know if an HPC system, particularly a larger-scale system, is well-suited for deep learning workloads? Today, that’s not an easy question to answer Read more…

By John Russell

HPC Reflections and (Mostly Hopeful) Predictions

December 19, 2018

So much ‘spaghetti’ gets tossed on walls by the technology community (vendors and researchers) to see what sticks that it is often difficult to peer through Read more…

By John Russell

Arm Unveils Neoverse N1 Platform with up to 128-Cores

February 20, 2019

Following on its Neoverse roadmap announcement last October, Arm today revealed its next-gen Neoverse microarchitecture with compute and throughput-optimized si Read more…

By Tiffany Trader

Move Over Lustre & Spectrum Scale – Here Comes BeeGFS?

November 26, 2018

Is BeeGFS – the parallel file system with European roots – on a path to compete with Lustre and Spectrum Scale worldwide in HPC environments? Frank Herold Read more…

By John Russell

France to Deploy AI-Focused Supercomputer: Jean Zay

January 22, 2019

HPE announced today that it won the contract to build a supercomputer that will drive France’s AI and HPC efforts. The computer will be part of GENCI, the Fre 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