Fujitsu Continues HPC, AI Push

By Tiffany Trader

July 19, 2017

Summer is well under way, but the so-called summertime slowdown, linked with hot temperatures and longer vacations, does not seem to have impacted Fujitsu’s output. The Japanese multinational has made a raft of HPC and AI-related announcements over the last few weeks. One of the most interesting developments is the advance of a custom AI processor, the Deep Learning Unit (DLU). With only a brief appearance in a 2016 press release, a fuller picture emerged during the International Supercomputing Conference in June.

As revealed in a presentation from Fujitsu’s Takumi Maruyama (senior director, AI Platform business unit), the processor features mixed-precision optimizations (8-bit, 16-bit and 32-bit) and a low power consumption design, with a stated goal of achieving a 10x performance/per watt advantage compared to competitors. The target energy efficiency gain relies on Fujitsu’s “deep learning integer,” which the company says reaches effective precision (on par with 32-bit) using 8- and 16-bit data sizes. The approach is reminiscent of that used by Intel’s Knights Mill processor (see coverage here) with Intel claiming INT32 accuracy with INT16 inputs (using INT32 accumulated output).

Source: Fujitsu (2017)

The massively parallel chip employs a few large master cores connected to many Deep Learning Processing Units (DPUs). One DPU consists of 16 DPEs (Deep learning processing elements). The DPE includes a large register file and wide SIMD execution units. Linked with Fujitsu’s Tofu interconnect technology, the design is scalable for very large neural networks.

Fujitsu’s roadmap for the DLU includes multiple generations over time: a first-gen coprocessor is set to debut in 2018, followed by a second-gen embedded host CPU. More forward-looking are potential specialized processors targeting neuromorphic or combinatorial optimization applications.

Upcoming Installs

National Center for High-performance Computing (NCHC) headquarters

Also at ISC, Fujitsu announced it’s building a nearly 3.5 petaflops (peak) system for Taiwan’s National Center for High-performance Computing, National Applied Research Laboratories (NCHC). The supercomputer is expected to come online in May 2018, at which time it will become the fastest computer in the country.

“The new system will serve as the core platform for research and development in Taiwan, fostering the development and growth of Taiwan’s overall industries and economy,” said Fujitsu in an official statement. In addition to accelerating current research, there will be a focus on accommodating new research fields, such as AI and big data.

The 715 node warm water-cooled cluster will be equipped with Skylake processors and connected with Intel Omni-Path technology. Nvidia P100 GPUs will be installed on 64 nodes, providing over a third (1.35 petaflops) of total theoretical peak performance (3.48 petaflops).

The Information Technology at Kyushu University in Japan has also placed an order for a Fujitsu system, a 10-petaflopper (peak) that is scheduled for deployment in October.

“This system will consist of over 2,000 servers, including the Fujitsu Server PRIMERGY CX400, the next-generation model of Fujitsu’s x86 server….This will also be Japan’s first supercomputer system featuring a large-scale private cloud environment constructed on a front-end sub system, linked with a computational server of a back-end sub system through a high-speed file system,” according to the release.

The new supercomputer will be integrated with three existing HPC systems at the Research Institute for Information Technology. The goal is to create an environment that “extend[s] beyond the current large-scale computation and scientific simulations, to include usage and research that require extremely large-scale computation, such as AI, big data, and data science.”

New AI-Based Algorithm Monitors Heat Stress

As temperatures rise, the health of employees in active outdoor roles, for example security guards or delivery professionals, is threatened. In Japan, 400-500 workplace casualties are attributable to heat stroke each year, leading companies to take measures to safeguard employees working in extreme conditions.

Fujitsu has developed an algorithm to bolster summer safety in the workplace. Based on Fujitsu’s Human Centric AI platform, Zinrai, the algorithm estimates on-going heat stress in workers. Fujitsu will release the algorithm as part of its digital business platform, MetaArc, which uses IoT to support on-site safety management. It is also conducting an internal trial from June to September at its Kawasaki Plant.

Source: Fujitsu (2017)

Says the company, “Sites where security and other duties typically take place may be locations where workers are susceptible to heat stress. However, changes in physical condition vary according to the individual, making it difficult to take uniform measures. This newly developed algorithm makes it possible to estimate the accumulation of heat stress on a per person basis, to tailor ways to protect people based on individual conditions.”

Machine Learning Advances Lung Disease Diagnosis

Fujitsu Laboratories Ltd. in partnership with Fujitsu R&D Center Co., Ltd., has developed a technology to improve the diagnosis for a group of lung diseases that includes pneumonia and emphysema. The technology retrieves similar disease cases from a computed tomography (CT) database based on abnormal shadows implicated in these disease states. The technology is especially needed for diffuse lung diseases like pneumonia, where the abnormal shadows are spread throughout the organ in all directions. These three-dimensional problems require a great deal of knowledge and experience on the clinician’s part to interpret and diagnose.

Source: Fujitsu (2017)

As explained by Fujitsu “the technology automatically separates the complex interior of the organ into areas through image analysis, and uses machine learning to recognize abnormal shadow candidates in each area. By dividing up the organ spatially into periphery, core, top, bottom, left and right, and focusing on the spread of the abnormal shadows in each area, it becomes possible to view things in the same way doctors do when determining similarities for diagnosis.”

Early studies using real-world data indicate a high-accuracy for the approach, which has the potential to save lives by reducing the time it takes to achieve a correct diagnosis.

Promoting open data usage in the Japanese Government

On June 28, Fujitsu announced that it will be part of a project run by the Cabinet Secretariat’s National Strategy Office of Information and Communications Technology to promote the use of open data held by the national or regional public organizations. The goal is to make open data, such as population statistics, industry compositions, and geographic data, more accessible and by doing so strengthen national competitiveness.

Fujitsu will leverage its Zinrai platform to develop a test system that can laterally search for data across multiple government systems, relating texts that have the same meaning. The system will also “learn” from users’ search results such that it can fine-tune its suggestions.

Source: Fujitsu (2017)

The study, “Creating an AI-Based Multi-Database Search and Best-Response Suggestion System (Research Study on Increasing Usability of Data Catalog Sites),” will run through until December 22, 2017. Fujitsu expects the trial to result in a proposal to the Strategy Office of Information and Communications Technology for implementation.

The Zinrai AI framework:

Source: Fujitsu (2016)

 

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!

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

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

What’s New in HPC Research: TensorFlow, Buddy Compression, Intel Optane & More

March 20, 2019

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

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…

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

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

Nvidia Wins Mellanox Stakes for $6.9 Billion

March 11, 2019

The long-rumored acquisition of Mellanox came to fruition this morning with GPU chipmaker Nvidia’s announcement that it has purchased the high-performance net Read more…

By Doug Black

Optalysys Rolls Commercial Optical Processor

March 7, 2019

Optalysys, Ltd., a U.K. company seeking to advance it optical co-processor technology, moved a step closer this week with the unveiling of what it claims is th Read more…

By George Leopold

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

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

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

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

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

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

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

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

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

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