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!

Long Flights to Cluster Fights: Meet the Asian Student Cluster Teams

November 22, 2017

Five teams from Asia traveled thousands of miles to compete at the SC17 Student Cluster Competition in Denver. Our cameras were there to meet ‘em, greet ‘em, and grill ‘em about their clusters and how they’re doi Read more…

By Dan Olds

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 question. The latest geo-region to throw its hat in the quantum co 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, workshop Read more…

By Andrew Jones

HPE Extreme Performance Solutions

HPE Wins “Best HPC Server” for the Apollo 6000 Gen10 System

Hewlett Packard Enterprise (HPE) was nominated for 14 HPCwire Readers’ and Editors’ Choice Awards—including “Best High Performance Computing (HPC) Server Product or Technology” and “Top Supercomputing Achievement.” The HPE Apollo 6000 Gen10 was named “Best HPC Server” of 2017. Read more…

Turnaround Complete, HPE’s Whitman Departs

November 22, 2017

Having turned around the aircraft carrier the Silicon Valley icon had become, Meg Whitman is leaving the helm of a restructured Hewlett Packard. Her successor, technologist Antonio Neri will now guide what Whitman assert Read more…

By George Leopold

Long Flights to Cluster Fights: Meet the Asian Student Cluster Teams

November 22, 2017

Five teams from Asia traveled thousands of miles to compete at the SC17 Student Cluster Competition in Denver. Our cameras were there to meet ‘em, greet ‘em Read more…

By Dan Olds

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 Read more…

By Andrew Jones

SC Bids Farewell to Denver, Heads to Dallas for 30th Anniversary

November 17, 2017

After a jam-packed four-day expo and intensive six-day technical program, SC17 has wrapped up another successful event that brought together nearly 13,000 visit Read more…

By Tiffany Trader

SC17 Keynote – HPC Powers SKA Efforts to Peer Deep into the Cosmos

November 17, 2017

This week’s SC17 keynote – Life, the Universe and Computing: The Story of the SKA Telescope – was a powerful pitch for the potential of Big Science projects that also showcased the foundational role of high performance computing in modern science. It was also visually stunning. Read more…

By John Russell

How Cities Use HPC at the Edge to Get Smarter

November 17, 2017

Cities are sensoring up, collecting vast troves of data that they’re running through predictive models and using the insights to solve problems that, in some Read more…

By Doug Black

Student Cluster LINPACK Record Shattered! More LINs Packed Than Ever before!

November 16, 2017

Nanyang Technological University, the pride of Singapore, utterly destroyed the Student Cluster Competition LINPACK record by posting a score of 51.77 TFlop/s a Read more…

By Dan Olds

Hyperion Market Update: ‘Decent’ Growth Led by HPE; AI Transparency a Risk Issue

November 15, 2017

The HPC market update from Hyperion Research (formerly IDC) at the annual SC conference is a business and social “must,” and this year’s presentation at S Read more…

By Doug Black

Nvidia Focuses Its Cloud Containers on HPC Applications

November 14, 2017

Having migrated its top-of-the-line datacenter GPU to the largest cloud vendors, Nvidia is touting its Volta architecture for a range of scientific computing ta Read more…

By George Leopold

US Coalesces Plans for First Exascale Supercomputer: Aurora in 2021

September 27, 2017

At the Advanced Scientific Computing Advisory Committee (ASCAC) meeting, in Arlington, Va., yesterday (Sept. 26), it was revealed that the "Aurora" supercompute Read more…

By Tiffany Trader

NERSC Scales Scientific Deep Learning to 15 Petaflops

August 28, 2017

A collaborative effort between Intel, NERSC and Stanford has delivered the first 15-petaflops deep learning software running on HPC platforms and is, according Read more…

By Rob Farber

Oracle Layoffs Reportedly Hit SPARC and Solaris Hard

September 7, 2017

Oracle’s latest layoffs have many wondering if this is the end of the line for the SPARC processor and Solaris OS development. As reported by multiple sources Read more…

By John Russell

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

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

Google Releases Deeplearn.js to Further Democratize Machine Learning

August 17, 2017

Spreading the use of machine learning tools is one of the goals of Google’s PAIR (People + AI Research) initiative, which was introduced in early July. Last w Read more…

By John Russell

GlobalFoundries Puts Wind in AMD’s Sails with 12nm FinFET

September 24, 2017

From its annual tech conference last week (Sept. 20), where GlobalFoundries welcomed more than 600 semiconductor professionals (reaching the Santa Clara venue Read more…

By Tiffany Trader

Amazon Debuts New AMD-based GPU Instances for Graphics Acceleration

September 12, 2017

Last week Amazon Web Services (AWS) streaming service, AppStream 2.0, introduced a new GPU instance called Graphics Design intended to accelerate graphics. The Read more…

By John Russell

Leading Solution Providers

SC17 Booth Video Tours

EU Funds 20 Million Euro ARM+FPGA Exascale Project

September 7, 2017

At the Barcelona Supercomputer Centre on Wednesday (Sept. 6), 16 partners gathered to launch the EuroEXA project, which invests €20 million over three-and-a-half years into exascale-focused research and development. Led by the Horizon 2020 program, EuroEXA picks up the banner of a triad of partner projects — ExaNeSt, EcoScale and ExaNoDe — building on their work... Read more…

By Tiffany Trader

Delays, Smoke, Records & Markets – A Candid Conversation with Cray CEO Peter Ungaro

October 5, 2017

Earlier this month, Tom Tabor, publisher of HPCwire and I had a very personal conversation with Cray CEO Peter Ungaro. Cray has been on something of a Cinderell Read more…

By Tiffany Trader & Tom Tabor

Cray Moves to Acquire the Seagate ClusterStor Line

July 28, 2017

This week Cray announced that it is picking up Seagate's ClusterStor HPC storage array business for an undisclosed sum. "In short we're effectively transitioning the bulk of the ClusterStor product line to Cray," said CEO Peter Ungaro. Read more…

By Tiffany Trader

Reinders: “AVX-512 May Be a Hidden Gem” in Intel Xeon Scalable Processors

June 29, 2017

Imagine if we could use vector processing on something other than just floating point problems.  Today, GPUs and CPUs work tirelessly to accelerate algorithms Read more…

By James Reinders

Intel Launches Software Tools to Ease FPGA Programming

September 5, 2017

Field Programmable Gate Arrays (FPGAs) have a reputation for being difficult to program, requiring expertise in specialty languages, like Verilog or VHDL. Easin Read more…

By Tiffany Trader

HPC Chips – A Veritable Smorgasbord?

October 10, 2017

For the first time since AMD's ill-fated launch of Bulldozer the answer to the question, 'Which CPU will be in my next HPC system?' doesn't have to be 'Whichever variety of Intel Xeon E5 they are selling when we procure'. Read more…

By Dairsie Latimer

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

IBM Advances Web-based Quantum Programming

September 5, 2017

IBM Research is pairing its Jupyter-based Data Science Experience notebook environment with its cloud-based quantum computer, IBM Q, in hopes of encouraging a new class of entrepreneurial user to solve intractable problems that even exceed the capabilities of the best AI systems. Read more…

By Alex Woodie

Share This