DARPA Effort Pushes Beyond Moore’s Law

By George Leopold

July 24, 2018

Responding to market forces that are driving the otherwise vibrant global electronics industry toward narrower computing applications and away from the next wave of innovation, the Defense Advanced Research Projects Agency (DARPA) is pouring $1.5 billion into “foundational enhancements” designed to jumpstart the post-Moore’s Law electronics industry.

The five-year roadmap dubbed Electronic Resurgence Initiative (ERI) hits the ground running this week with a summit in San Francisco focusing on what program managers identify as ERI’s three pillars: new chip architectures, IC design and materials and integration.

“What we are trying to do are foundational enhancements that are beyond what any one corporate partner would want to do or try to do on their own,” said William Chappell, director of DARPA’s Microsystems Technology Office.

“The double-edged sword of Moore’s Law is that while the train is kept moving, the costs across the board from fab to design to verification have all gone up precipitously and even exponentially,” Chappell added. “What we are trying to do is look at other avenues, for example in fabrication, where you can get benefit through either novel materials or novel integration processes that don’t rely just on the scaling of transistors.”

DARPA also announced a list of university and corporate research efforts aim at advancing its “three-pillar” chip strategy. For example, ERI places a large bet on maintaining U.S. and European leadership in chip design and the valuable intellectual property it generates. “We need to make sure that we have new inventions occurring across our country and other allied countries where we invent new processes as older processes are being replicated en masse.”

While chip maker Intel Corp. and challengers such as GPU specialist Nvidia Corp. and ARM increasingly focus on specific applications, many driven by AI and other emerging machine learning applications, DARPA is attempting to reboot the semiconductor R&D cycle in response to huge global chip investments. Chappell specifically cited China’s estimated $150 billion investment in an indigenous chip industry. That initiative would underpin broader efforts, including Beijing’s national strategy to become the world leader in AI by 2030.

The technological battleground in this global competition, DARPA reckons, revolves around new materials, automating the design of new systems-on-chips (SoCs) along with novel architectures that could, for example, be mixed and match as building blocks in larger systems. One effort, dubbed Intelligent Design of Electronic Assets, or IDEA, seeks to develop a platform supporting an automated design flow for SoCs along with the chip packages and interconnects to larger systems.

These future chip design flows would leverage machine learning, analytics and automation technologies used to verify chip designs before they are mass produced. Contactors for the IDEA program include Cadence Design Systems, Nvidia and Carnegie Mellon University.

ERI’s chip architecture research focuses on reconfigurable frameworks that leverage specialized hardware to tackle specific computing problems. Contractors for the Software Defined Hardware (SDH) initiative include Intel, Nvidia and top U.S. engineering schools. The hardware effort along with a separate “domain-specific” SoC effort were launched last fall.

Meanwhile, Nvidia will lead a team of industry and university researchers under the SDH program seeking performance gains akin to today’s ASICs “without sacrificing programmability for data-intensive algorithms,” the company said Tuesday (July 24).

Among the goals of chip architecture effort is bringing an open-source software approach to hardware development. Among the applications are machine vison and machine learning, Chappell added.

The semiconductor materials and circuit integration theme addresses looming performance issues such as “memory bottlenecks” that plague current big data applications. One task is finding new ways to combine dissimilar blocks of chip intellectual property, many based on different materials and circuit designs. The initiative that includes researchers from MIT, Stanford and other leading engineering schools would focus on both emerging 3-D SoC designs as well as future approaches under the rubric, Foundations for Novel Compute, or FRANC, program.

Among the contractors for the 3-D chip effort is Skywater Technology Foundry, a pure-play 200-mm chip fab in Minnesota with roots dating back to Control Data Corp. and, more recently, Cypress Semiconductor.

Ultimately, DARPA’s Chappell said, the chip initiative is designed “to see what the art of the possible is.”

He added: “It’s more important than ever that we have new inventions coming out of the pipeline to make sure the semiconductor space does not become a commodity.”

–Tiffany Trader, managing editor of HPCwire, contributed to this report.

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