Brookhaven Ramps Up Computing for National Security Effort

By John Russell

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. A week earlier, a report surfaced in a Russian media outlet that a group of Russian nuclear scientists had been arrested for using a government supercomputer to mine crypto-currency.

These very public episodes of computer misdeeds are a small portion of a growing and largely hidden iceberg of computer-related dangers with the potential to harm society. There are, of course, many active efforts to mitigate the ‘hacker’ onslaught as well as to use computational capabilities for U.S. national security purposes. Now, a formal effort is ramping up at Brookhaven National Laboratory (BNL).

Last fall, Adolfy Hoisie then at the Pacific Northwest National Laboratory was tapped to join Brookhaven’s expanding computing research and to become chair of the new Computing for National Security (CSN) Department. Since then Hoisie has been quickly drawing up the roadmap for the new effort – it’s charged with researching and developing novel technologies and applications for use in solving computing challenges in the national security arena.

The new CNS department is a recent addition to Brookhaven’s roughly three-year old Computational Science Initiative (CSI) which is intended to further computational capability and research at Brookhaven with a distinct emphasis on data science. Brookhaven is probably best known for its high-energy physics research. Most recently its National Synchrotron Light Source II is grabbing attention – it will be the brightest in the world when completed and accommodate 60 to 70 beamlines. Brookhaven also houses RHIC (Relativistic Heavy Ion Collider), which among other things is currently looking for the missing spin of the proton.

Adolfy Hoisie, Chair, Computing for National Security (CSN) Department, Brookhaven National Laboratory

Not surprisingly, the synchrotron, RHIC, and a variety of other experimental instruments at Brookhaven produce a lot of data. “We have the second largest scientific data archive in the U.S. and the fourth largest in the world,” said Hoisie, founding chairman of the CSN department. “On an annual basis, data to the tune of 35 petabytes are being ingested, 37 petabytes are being exported, and 400 petabytes of data analyzed. [What’s more] given the scientific community nature of this work, a lot of this data needs to be accessed at high bandwidth in and out of the experimental facilities and the Lab’s storage systems.”

Dealing with that mountain of experimental data is the main computational challenge at Brookhaven and Hoisie noted the CNS mission is ‘highly synergistic’ with those efforts.

“A large spectrum, if not a preponderance of applications, inspired by national security challenges, are in actual fact data sciences problems. It is speed of collection from various sources, whether the volume or velocity of data, the quality of data, analysis of data, which sets performance bounds for [security-related] applications. Just like data being streamed from a detector on an x-ray beam, data that is being streamed from a UAV (unmanned aerial vehicle) also has the challenges of too much data being generated and not enough bandwidth-to-the-ground in order for it to become actionable information and then make it back to the flying vehicle,” he said.

“The methodologies for data analysis, including machine learning and deep learning, required for national security concerns are very much synergistic with the challenges in data sciences. The spectrum of applications of interest to my department includes intelligence apps, cybersecurity, non-proliferation activities including international aspects of that, supply chain security, and a number of computational aspects of security of the computing infrastructure.”

Hoisie is no stranger to HPC or to building focused HPC research organizations. He joined Brookhaven from PNNL where he was the Director of the Advanced Computing, Mathematics, and Data Division, and the founding director of the Center for Advanced Technology Evaluation (CENATE). He plans to significantly expand the breadth, depth, and reach of the technologies and applications considered, with a focus on the full technology pipeline (basic research through devices, board, systems, to algorithms and applications).

Brookhaven, of course, already has substantial computational resources, a big chunk of which are co-located with the new synchrotron and dedicated to it. Predictably, I/O and storage is a particularly thorny issue and Hoisie noted Brookhaven has a large assortment of storage solutions and devices “from novel solutions all the way to discs and tapes of many generations that require computational resources in order to operate and do the data management.”

Brookhaven Light Source II

Currently, there is a second effort to centralize and expand the remaining computational infrastructure. The new CSN, along with much of the CSI, will be located in the new center.

“The first floor of the old synchrotron (National Synchrotron Light Source I) is being refurbished to a modern machine room through a DOE sponsored project. The approximate size of the area is 50,000 square feet. Significant power will be added to house the existing large scale computing and storage systems, and provide for the ability to grow in the future commensurate with the computing aspirations of Brookhaven. The new facility will also include computing Lab space for high accuracy and resolution measurement of computing technologies from device to systems, and to house computing systems “beyond Moore’s law” that will likely require special operating conditions,” said Hoisie.

Brookhaven has a diverse portfolio of ongoing research some of which will be tapped by CNS. “For example, there’s a significant scientific emphasis in materials design. That includes a center for nano materials, developing methodologies for material design and actual development of materials. We are trying to enmesh this expertise in materials with that in computing to tackle the challenges of computing at the device level,” Hoise said.

Hoisie’s group will also look at emerging technologies such as quantum computing. “That’s an area of major interest. We are looking at not only creating the appropriate facilities for siting quantum computing, such as the infrastructure for deep cooling and whatnot, but also looking at very significantly expanding the range of applications that are suitable for quantum computing. On that we have active discussions with IBM and others. You know, quantum computing is a little bit of a work in progress. I know I am stating the obvious but a lot depends on expanding significantly the range of applications to which quantum computing is applicable. We too often say, yes, quantum computing is very good for quantum chemistry or studying quantum effects in all kinds of processes, and cryptography, but there are many other areas we are trying to explore.”

Industry collaboration is an important part of the plan. In fact, noted Hoisie, “CSI, for example, is partly endowed by a New York State grant and part of the rules of engagement related to the grant and the management structure of Brookhaven [requires] development of a bona fide, high quality, high bandwidth interaction with regional powerhouses in computing including IBM. So we have quite a few ongoing in-depth discussions with potential partners that we hope soon to materialize to tackle together specific technologies.”

Throughout his computing career, Hoisie developed fruitful collaborations with technology providers with many collaborators such as IBM, AMD, Nvidia, and Data Vortex, just to name a few. He expects to do the same now.

Also, the modeling and simulation (ModSim) workshop series he helped organize and run will also continue including through his leadership of it and the participation of his new group. “The series of ModSim meetings will continue. Although I am not on the West Coast now we decided to organize them for continuity in Seattle at the University of Washington. These are events in which we are going to showcase technologies and applications including those national security interests and how ModSim is going to help. We’ve refreshed the committee to expand its base. That will continue as an interagency-funded operation that involves DOE, NSF, and a number of sectors from DoD,” Hoisie said.

Obviously these are still early days for the Computing for National Security initiative. A limited number of projects are still taking shape and there are few details available. That said Hoisie has high expectations:

“We have very significant plans to grow this department. The goal is to bring this Computing for National Security department, which is small at the moment, to the level of a high quality, and the emphasis is on the highest possible quality, of a top-notch national laboratory division level effort.

“This is the way in which we conducted HPC research for decades in my groups. There is the highest quality staff that we hire. There is active integration across the spectrum from technology and systems to the system software to applications and algorithms. And there is a healthy mixture of applied mathematics and computer science and domain sciences that are all contributing to the team effort. And there is a pipeline that we are interested in at all stages: as the technology matures you get more and more into areas that are related to computer science and mathematics and algorithm development and end up in tech development arena. These technologies materialize into boards, devices, systems and then into very large scale supercomputers that offer efficient solutions for solving science or national security problems. We absolutely plan to follow this way.”

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!

RIKEN Post-K Supercomputer Named After Japan’s Tallest Peak

May 23, 2019

May 23 -- RIKEN President Hiroshi Matsumoto announced that the successor to the K computer will be named Fugaku, another name for Mount Fuji, which is the tallest mountain peak in Japan. Supercomputer Fugaku, developed b Read more…

By Tiffany Trader

Cray’s Emerging Market & Technology Director Arti Garg Peers Around HPC/AI Corner

May 23, 2019

In her position as emerging market and technology director at Cray, Arti Garg doesn't just have a front-row seat to the future of computing, she plays an active role in making that future happen. Key to Garg's role is understanding how deep learning scientists are using state-of-the-art HPC infrastructures and figuring out how to push those limits further. Read more…

By Tiffany Trader

Combining Machine Learning and Supercomputing to Ferret out Phishing Attacks

May 23, 2019

The relentless ingenuity that drives cyber hacking is a global engine that knows no rest. Anyone with a laptop and run-of-the-mill computer smarts can buy or rent a phishing kit and start attacking – or it can be done Read more…

By Doug Black

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.

For 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

Who’s Driving Your Car?

Delivering a fully autonomous driving (AD) vehicle remains a key priority for both manufacturers and technology firms (“firms”). However, passenger safety is now a top-of-mind concern due in great part, to fatalities resulting from driving tests over the past years. Read more…

TACC’s Upgraded Ranch Data Storage System Debuts New Features, Exabyte Potential

May 22, 2019

There's a joke attributed to comedian Steven Wright that goes, "You can't have everything. Where would you put it?" Users of advanced computing can likely relate to this. The exponential growth of data poses a steep challenge to efforts for its reliable storage. For over 12 years, the Ranch system at the Texas Advanced Computing Center... Read more…

By Jorge Salazar, TACC

Cray’s Emerging Market & Technology Director Arti Garg Peers Around HPC/AI Corner

May 23, 2019

In her position as emerging market and technology director at Cray, Arti Garg doesn't just have a front-row seat to the future of computing, she plays an active role in making that future happen. Key to Garg's role is understanding how deep learning scientists are using state-of-the-art HPC infrastructures and figuring out how to push those limits further. Read more…

By Tiffany Trader

Combining Machine Learning and Supercomputing to Ferret out Phishing Attacks

May 23, 2019

The relentless ingenuity that drives cyber hacking is a global engine that knows no rest. Anyone with a laptop and run-of-the-mill computer smarts can buy or re Read more…

By Doug Black

Cray – and the Cray Brand – to Be Positioned at Tip of HPE’s HPC Spear

May 22, 2019

More so than with most acquisitions of this kind, HPE’s purchase of Cray for $1.3 billion, announced last week, seems to have elements of that overused, often Read more…

By Doug Black and Tiffany Trader

HPE to Acquire Cray for $1.3B

May 17, 2019

Venerable supercomputer pioneer Cray Inc. will be acquired by Hewlett Packard Enterprise for $1.3 billion under a definitive agreement announced this morning. T Read more…

By Doug Black & Tiffany Trader

Deep Learning Competitors Stalk Nvidia

May 14, 2019

There is no shortage of processing architectures emerging to accelerate deep learning workloads, with two more options emerging this week to challenge GPU leader Nvidia. First, Intel researchers claimed a new deep learning record for image classification on the ResNet-50 convolutional neural network. Separately, Israeli AI chip startup Hailo.ai... Read more…

By George Leopold

CCC Offers Draft 20-Year AI Roadmap; Seeks Comments

May 14, 2019

Artificial Intelligence in all its guises has captured much of the conversation in HPC and general computing today. The White House, DARPA, IARPA, and Departmen Read more…

By John Russell

Cascade Lake Shows Up to 84 Percent Gen-on-Gen Advantage on STAC Benchmarking

May 13, 2019

The Securities Technology Analysis Center (STAC) issued a report Friday comparing the performance of Intel's Cascade Lake processors with previous-gen Skylake u Read more…

By Tiffany Trader

Nvidia Claims 6000x Speed-Up for Stock Trading Backtest Benchmark

May 13, 2019

A stock trading backtesting algorithm used by hedge funds to simulate trading variants has received a massive, GPU-based performance boost, according to Nvidia, Read more…

By Doug Black

Cray, AMD to Extend DOE’s Exascale Frontier

May 7, 2019

Cray and AMD are coming back to Oak Ridge National Laboratory to partner on the world’s largest and most expensive supercomputer. The Department of Energy’s Read more…

By Tiffany Trader

Graphene Surprises Again, This Time for Quantum Computing

May 8, 2019

Graphene is fascinating stuff with promise for use in a seeming endless number of applications. This month researchers from the University of Vienna and Institu Read more…

By John Russell

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

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

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

Deep Learning Competitors Stalk Nvidia

May 14, 2019

There is no shortage of processing architectures emerging to accelerate deep learning workloads, with two more options emerging this week to challenge GPU leader Nvidia. First, Intel researchers claimed a new deep learning record for image classification on the ResNet-50 convolutional neural network. Separately, Israeli AI chip startup Hailo.ai... Read more…

By George Leopold

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

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

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 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

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

Intel Launches Cascade Lake Xeons with Up to 56 Cores

April 2, 2019

At Intel's Data-Centric Innovation Day in San Francisco (April 2), the company unveiled its second-generation Xeon Scalable (Cascade Lake) family and debuted it Read more…

By Tiffany Trader

Announcing four new HPC capabilities in Google Cloud Platform

April 15, 2019

When you’re running compute-bound or memory-bound applications for high performance computing or large, data-dependent machine learning training workloads on Read more…

By Wyatt Gorman, HPC Specialist, Google Cloud; Brad Calder, VP of Engineering, Google Cloud; Bart Sano, VP of Platforms, Google Cloud

Nvidia Claims 6000x Speed-Up for Stock Trading Backtest Benchmark

May 13, 2019

A stock trading backtesting algorithm used by hedge funds to simulate trading variants has received a massive, GPU-based performance boost, according to Nvidia, Read more…

By Doug Black

In Wake of Nvidia-Mellanox: Xilinx to Acquire Solarflare

April 25, 2019

With echoes of Nvidia’s recent acquisition of Mellanox, FPGA maker Xilinx has announced a definitive agreement to acquire Solarflare Communications, provider Read more…

By Doug Black

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