Japan’s Extreme Scale Computing Expert Talks Big Data

By Nages Sieslack

May 5, 2014

The International Supercomputing Conference (ISC’14) has invited one of Japan’s leading HPC experts, Professor Satoshi Matsuoka to deliver a keynote titled “If You Can’t Beat Them, Lead Them – Convergence of Supercomputing and Next Generation ‘Extreme’ Big Data,”

In this thought-provoking talk on Tuesday, June 24, Matsuoka will share why he believes that supercomputer architectures will converge with those of big data and serve a crucial technological role for the industry. His assertion will be exemplified with a number of recent Japanese research projects in this area, including the JST-CREST “Extreme Big Data” project. To understand more about these projects and where they fit into the larger scope of extreme scale computing, we spoke with Matsuoka.

Is there a distinction between “data” and “big data?”

Satoshi Matsuoka: Of course. In fact, I categorize “simple data”, “big data” and “extreme big data” as three different domains.

“Big data” implies two principle characteristics. One is from semantic perspective, in that large data sets are collected in a rather unbiased fashion; and then one would try to extract some meaningful correlative information out of them, using various methods such as data mining, deep learning, graph analytics, etc. Another is from a system perspective, in that the data volume, bandwidth, etc., are too large to be processed with conventional machines, even those geared for traditional databases. The system components, both hardware and software, need enhancements in order to support the increased level of processing. In this sense, big data’s “super data processing” is to normal data processing as supercomputing is to normal computing.

By extreme big data we mean that the data volumes, as well as the computational needs, become so big that a simple extension of conventional big data processing architectures would no longer be feasible and will require convergence with supercomputing technologies and platforms.

How is big data relevant to the HPC space and how has the term evolved over time?  Is it something different than what used to be called “data-intensive computing?”

Matsuoka: In some sense HPC has been the pioneer of big data from the days of data-intensive computing. Even as far back as 20 years ago, researchers running climate codes were starting to struggle with terabytes of data when the general public was still in the gigabyte days.

By all means, the general area now covered by big data is much wider. Also due to the emergence of new application areas such as genomics, data-intensive computing in HPC has broadened to the extent that its own coverage has expanded.

How do you envision the convergence between big data and HPC to happen?

Matsuoka: What is unique in the current big data trend is the stress on various data analytics algorithm, such as deep learning and graph analytics. This, coupled with various other factors are requiring some changes to the HPC hardware and software stack, such as the need for a massive increase in data capacity and bandwidth. By contrast traditional HPC is trending toward high bandwidth but low memory capacity.

But since HPC also suffers from lack of memory capacity, the convergence at the hardware level will mostly be in the area of designing capacity-friendly deep memory hierarchies. This applies both to memory depth within a node, using new memory technologies and associated processor architectures,  as well as memory width across nodes, requiring extensive use of optics to support high bandwidth and low latency.

From the data side, the needs will be driven by the so-called “broken silos.” Data stored across multiple institutions and disciplines, as well as the proliferation of the internet of things, will cause the data capacities and the compute from the cross-correlations to simply explode. We now have big data applications in genomics that run on almost the entire K-computer, using the abundance of its one-petabyte memory and 660,000 cores. That is already about 1/5 to 1/7 the entire capacity of Amazon according to a major IT consulting company’s estimate. Think of the exascale era when we will have big data apps that require 100 million cores, a number that makes even Google miniscule by comparison.

Right now we have the enterprise with their own application use cases for big data, and perhaps even their own understanding of what the term means. With that in mind, how will a convergence of HPC and big data affect those users?

Matsuoka: Industry also adopts HPC but considers those applications distinct from mainstream computing. By their convergence enterprise and HPC users will learn to better exploit the combined technologies and also allow for the emergence of new applications that tie massive compute to data analytics. We already see examples now in areas such as genomics and design engineering.

Can you please elaborate on Japan’s role in advancing big data technologies and driving its convergence with HPC?

Matsuoka: For Japan, both HPC and big data are high on the agenda for research as well as the industry. It is prudent that we work with other regions of the world with similar vision to push both envelopes. The proposed HPC projects in Japan towards exascale will likely have increased emphasis on extreme big data as well.

ISC14_ml_1Now in its 29th year, ISC is the world’s oldest and Europe’s most important conference and networking event for the HPC community, offering a strong five-day technical program focusing on HPC technological development, and its application in scientific fields as well as its adoption in an industrial environment.

Over 300 hand-picked expert speakers and 170 exhibitors, consisting of leading research centers and vendors, will greet this year’s attendees to ISC. A number of events complement the technical program including Tutorials, the TOP500 Announcement, Research Paper Sessions, Birds of a Feather (BoF) Sessions, the Research Poster Session, Exhibitor Forums, and Workshops. For more, visit www.isc14.org.

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!

Fluid HPC: How Extreme-Scale Computing Should Respond to Meltdown and Spectre

February 15, 2018

The Meltdown and Spectre vulnerabilities are proving difficult to fix, and initial experiments suggest security patches will cause significant performance penalties to HPC applications. Even as these patches are rolled o Read more…

By Pete Beckman

Intel Touts Silicon Spin Qubits for Quantum Computing

February 14, 2018

Debate around what makes a good qubit and how best to manufacture them is a sprawling topic. There are many insistent voices favoring one or another approach. Referencing a paper published today in Nature, Intel has offe Read more…

By John Russell

Brookhaven Ramps Up Computing for National Security Effort

February 14, 2018

Last week, Dan Coats, the director of Director of National Intelligence for the U.S., warned the Senate Intelligence Committee that Russia was likely to meddle in the 2018 mid-term U.S. elections, much as it stands accused of doing in the 2016 Presidential election. Read more…

By John Russell

HPE Extreme Performance Solutions

Safeguard Your HPC Environment with the World’s Most Secure Industry Standard Servers

Today’s organizations operate in an environment with ever-evolving threats, and in order to protect themselves they must continuously bolster their security strategy. Hewlett Packard Enterprise (HPE) and Intel® are addressing modern security challenges with the world’s most secure industry standard servers powered by the latest generation of Intel® Xeon® Scalable processors. Read more…

AI Cloud Competition Heats Up: Google’s TPUs, Amazon Building AI Chip

February 12, 2018

Competition in the white hot AI (and public cloud) market pits Google against Amazon this week, with Google offering AI hardware on its cloud platform intended to make it easier, faster and cheaper to train and run machi Read more…

By Doug Black

Fluid HPC: How Extreme-Scale Computing Should Respond to Meltdown and Spectre

February 15, 2018

The Meltdown and Spectre vulnerabilities are proving difficult to fix, and initial experiments suggest security patches will cause significant performance penal Read more…

By Pete Beckman

Brookhaven Ramps Up Computing for National Security Effort

February 14, 2018

Last week, Dan Coats, the director of Director of National Intelligence for the U.S., warned the Senate Intelligence Committee that Russia was likely to meddle in the 2018 mid-term U.S. elections, much as it stands accused of doing in the 2016 Presidential election. Read more…

By John Russell

AI Cloud Competition Heats Up: Google’s TPUs, Amazon Building AI Chip

February 12, 2018

Competition in the white hot AI (and public cloud) market pits Google against Amazon this week, with Google offering AI hardware on its cloud platform intended Read more…

By Doug Black

Russian Nuclear Engineers Caught Cryptomining on Lab Supercomputer

February 12, 2018

Nuclear scientists working at the All-Russian Research Institute of Experimental Physics (RFNC-VNIIEF) have been arrested for using lab supercomputing resources to mine crypto-currency, according to a report in Russia’s Interfax News Agency. Read more…

By Tiffany Trader

The Food Industry’s Next Journey — from Mars to Exascale

February 12, 2018

Global food producer and one of the world's leading chocolate companies Mars Inc. has a unique perspective on the impact that exascale computing will have on the food industry. Read more…

By Scott Gibson, Oak Ridge National Laboratory

Singularity HPC Container Start-Up – Sylabs – Emerges from Stealth

February 8, 2018

The driving force behind Singularity, the popular HPC container technology, is bringing the open source platform to the enterprise with the launch of a new vent Read more…

By George Leopold

Dell EMC Debuts PowerEdge Servers with AMD EPYC Chips

February 6, 2018

AMD notched another EPYC processor win today with Dell EMC’s introduction of three PowerEdge servers (R6415, R7415, and R7425) based on the EPYC 7000-series p Read more…

By John Russell

‘Next Generation’ Universe Simulation Is Most Advanced Yet

February 5, 2018

The research group that gave us the most detailed time-lapse simulation of the universe’s evolution in 2014, spanning 13.8 billion years of cosmic evolution, is back in the spotlight with an even more advanced cosmological model that is providing new insights into how black holes influence the distribution of dark matter, how heavy elements are produced and distributed, and where magnetic fields originate. Read more…

By Tiffany Trader

Inventor Claims to Have Solved Floating Point Error Problem

January 17, 2018

"The decades-old floating point error problem has been solved," proclaims a press release from inventor Alan Jorgensen. The computer scientist has filed for and Read more…

By Tiffany Trader

Japan Unveils Quantum Neural Network

November 22, 2017

The U.S. and China are leading the race toward productive quantum computing, but it's early enough that ultimate leadership is still something of an open questi Read more…

By Tiffany Trader

AMD Showcases Growing Portfolio of EPYC and Radeon-based Systems at SC17

November 13, 2017

AMD’s charge back into HPC and the datacenter is on full display at SC17. Having launched the EPYC processor line in June along with its MI25 GPU the focus he Read more…

By John Russell

Researchers Measure Impact of ‘Meltdown’ and ‘Spectre’ Patches on HPC Workloads

January 17, 2018

Computer scientists from the Center for Computational Research, State University of New York (SUNY), University at Buffalo have examined the effect of Meltdown Read more…

By Tiffany Trader

Nvidia Responds to Google TPU Benchmarking

April 10, 2017

Nvidia highlights strengths of its newest GPU silicon in response to Google's report on the performance and energy advantages of its custom tensor processor. Read more…

By Tiffany Trader

IBM Begins Power9 Rollout with Backing from DOE, Google

December 6, 2017

After over a year of buildup, IBM is unveiling its first Power9 system based on the same architecture as the Department of Energy CORAL supercomputers, Summit a Read more…

By Tiffany Trader

Fast Forward: Five HPC Predictions for 2018

December 21, 2017

What’s on your list of high (and low) lights for 2017? Volta 100’s arrival on the heels of the P100? Appearance, albeit late in the year, of IBM’s Power9? Read more…

By John Russell

Russian Nuclear Engineers Caught Cryptomining on Lab Supercomputer

February 12, 2018

Nuclear scientists working at the All-Russian Research Institute of Experimental Physics (RFNC-VNIIEF) have been arrested for using lab supercomputing resources to mine crypto-currency, according to a report in Russia’s Interfax News Agency. Read more…

By Tiffany Trader

Leading Solution Providers

Chip Flaws ‘Meltdown’ and ‘Spectre’ Loom Large

January 4, 2018

The HPC and wider tech community have been abuzz this week over the discovery of critical design flaws that impact virtually all contemporary microprocessors. T Read more…

By Tiffany Trader

Perspective: What Really Happened at SC17?

November 22, 2017

SC is over. Now comes the myriad of follow-ups. Inboxes are filled with templated emails from vendors and other exhibitors hoping to win a place in the post-SC thinking of booth visitors. Attendees of tutorials, workshops and other technical sessions will be inundated with requests for feedback. Read more…

By Andrew Jones

How Meltdown and Spectre Patches Will Affect HPC Workloads

January 10, 2018

There have been claims that the fixes for the Meltdown and Spectre security vulnerabilities, named the KPTI (aka KAISER) patches, are going to affect applicatio Read more…

By Rosemary Francis

GlobalFoundries, Ayar Labs Team Up to Commercialize Optical I/O

December 4, 2017

GlobalFoundries (GF) and Ayar Labs, a startup focused on using light, instead of electricity, to transfer data between chips, today announced they've entered in Read more…

By Tiffany Trader

Tensors Come of Age: Why the AI Revolution Will Help HPC

November 13, 2017

Thirty years ago, parallel computing was coming of age. A bitter battle began between stalwart vector computing supporters and advocates of various approaches to parallel computing. IBM skeptic Alan Karp, reacting to announcements of nCUBE’s 1024-microprocessor system and Thinking Machines’ 65,536-element array, made a public $100 wager that no one could get a parallel speedup of over 200 on real HPC workloads. Read more…

By John Gustafson & Lenore Mullin

Flipping the Flops and Reading the Top500 Tea Leaves

November 13, 2017

The 50th edition of the Top500 list, the biannual publication of the world’s fastest supercomputers based on public Linpack benchmarking results, was released Read more…

By Tiffany Trader

V100 Good but not Great on Select Deep Learning Aps, Says Xcelerit

November 27, 2017

Wringing optimum performance from hardware to accelerate deep learning applications is a challenge that often depends on the specific application in use. A benc Read more…

By John Russell

2017 Gordon Bell Prize Finalists Named

October 23, 2017

The three finalists for this year’s Gordon Bell Prize in High Performance Computing have been announced. They include two papers on projects run on China’s Read more…

By John Russell

  • arrow
  • Click Here for More Headlines
  • arrow
Share This