IEEE Unveils Next Phase of IRDS to Drive Beyond Moore’s Law

March 23, 2017

PISCATAWAY, N.J., March 23, 2017 — IEEE today announced the next milestone phase in the development of the International Roadmap for Devices and Systems (IRDS)—an IEEE Standards Association (IEEE-SA) Industry Connections (IC) Program sponsored by the IEEE Rebooting Computing (IEEE RC) Initiative—with the launch of a series of nine white papers that reinforce the initiative’s core mission and vision for the future of the computing industry. The white papers also identify industry challenges and solutions that guide and support future roadmaps created by IRDS.

IEEE is taking a lead role in building a comprehensive, end-to-end view of the computing ecosystem, including devices, components, systems, architecture, and software. In May 2016, IEEE announced the formation of the IRDS under the sponsorship of IEEE RC. The historical integration of IEEE RC and the International Technology Roadmap for Semiconductors (ITRS) 2.0 addresses mapping the ecosystem of the new reborn electronics industry. The new beginning of the evolved roadmap—with the migration from ITRS to IRDS—is proceeding seamlessly as all the reports produced by the ITRS 2.0 represent the starting point of IRDS.

While engaging other segments of IEEE in complementary activities to assure alignment and consensus across a range of stakeholders, the IRDS team is developing a 15-year roadmap with a vision to identify key trends related to devices, systems, and other related technologies.

“Representing the foundational development stage in IRDS is the publishing of nine white papers that outline the vital and technical components required to create a roadmap,” said Paolo A. Gargini, IEEE Fellow and Chairman of IRDS. “As a team, we are laying the foundation to identify challenges and recommendations on possible solutions to the industry’s current limitations defined by Moore’s Law. With the launch of the nine white papers on our new website, the IRDS roadmap sets the path for the industry benefiting from all fresh levels of processing power, energy efficiency, and technologies yet to be discovered.”

“The IRDS has taken a significant step in creating the industry roadmap by publishing nine technical white papers,” said IEEE Fellow Elie Track, 2011-2014 President, IEEE Council on Superconductivity; Co-chair, IEEE RC; and CEO of nVizix. “Through the public availability of these white papers, we’re inviting computing professionals to participate in creating an innovative ecosystem that will set a new direction for the greater good of the industry. Today, I open an invitation to get involved with IEEE RC and the IRDS.”

The series of white papers delivers the starting framework of the IRDS roadmap—and through the sponsorship of IEEE RC—will inform the various roadmap teams in the broader task of mapping the devices’ and systems’ ecosystem:

“IEEE is the perfect place to foster the IRDS roadmap and fulfill what the computing industry has been searching for over the past decades,” said IEEE Fellow Thomas M. Conte, 2015 President, IEEE Computer Society; Co-chair, IEEE RC; and Professor, Schools of Computer Science, and Electrical and Computer Engineering, Georgia Institute of Technology. “In essence, we’re creating a new Moore’s Law. And we have so many next-generation computing solutions that could easily help us reach uncharted performance heights, including cryogenic computing, reversible computing, quantum computing, neuromorphic computing, superconducting computing, and others. And that’s why the IEEE RC Initiative exists: creating and maintaining a forum for the experts who will usher the industry beyond the Moore’s Law we know today.”

The IRDS leadership team hosted a winter workshop and kick-off meeting at the Georgia Institute of Technology on 1-2 December 2016. Key discoveries from the workshop included the international focus teams’ plans and focus topics for the 2017 roadmap, top-level needs and challenges, and linkages among the teams. Additionally, the IRDS leadership invited presentations from the European and Japanese roadmap initiatives. This resulted in the 2017 IRDS global membership expanding to include team members from the “NanoElectronics Roadmap for Europe: Identification and Dissemination” (NEREID) sponsored by the European Semiconductor Industry Association (ESIA), and the “Systems and Design Roadmap of Japan” (SDRJ) sponsored by the Japan Society of Applied Physics (JSAP).

The IRDS team and its supporters will convene 1-3 April 2017 in Monterey, California, for the Spring IRDS Workshop, which is part of the 2017 IEEE International Reliability Physics Symposium (IRPS). The team will meet again for the Fall IRDS Conference—in partnership with the 2017 IEEE International Conference on Rebooting Computing (ICRC)—scheduled for 6-7 November 2017 in Washington, D.C. More information on both events can be found here: http://irds.ieee.org/events.

IEEE RC is a program of IEEE Future Directions, designed to develop and share educational tools, events, and content for emerging technologies.

IEEE-SA’s IC Program helps incubate new standards and related products and services, by facilitating collaboration among organizations and individuals as they hone and refine their thinking on rapidly changing technologies.

About the IEEE Standards Association

The IEEE Standards Association, a globally recognized standards-setting body within IEEE, develops consensus standards through an open process that engages industry and brings together a broad stakeholder community. IEEE standards set specifications and best practices based on current scientific and technological knowledge. The IEEE-SA has a portfolio of over 1,100 active standards and more than 500 standards under development. For more information visit the IEEE-SA website.

About IEEE

IEEE is the largest technical professional organization dedicated to advancing technology for the benefit of humanity. Through its highly cited publications, conferences, technology standards, and professional and educational activities, IEEE is the trusted voice in a wide variety of areas ranging from aerospace systems, computers, and telecommunications to biomedical engineering, electric power, and consumer electronics. Learn more at http://www.ieee.org.


Source: IEEE

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion XL — were added to the benchmark suite as MLPerf continues Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing power it brings to artificial intelligence.  Nvidia's DGX Read more…

Call for Participation in Workshop on Potential NSF CISE Quantum Initiative

March 26, 2024

Editor’s Note: Next month there will be a workshop to discuss what a quantum initiative led by NSF’s Computer, Information Science and Engineering (CISE) directorate could entail. The details are posted below in a Ca Read more…

Waseda U. Researchers Reports New Quantum Algorithm for Speeding Optimization

March 25, 2024

Optimization problems cover a wide range of applications and are often cited as good candidates for quantum computing. However, the execution time for constrained combinatorial optimization applications on quantum device Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at the network layer threatens to make bigger and brawnier pro Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HBM3E memory as well as the the ability to train 1 trillion pa Read more…

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HB Read more…

Nvidia Looks to Accelerate GenAI Adoption with NIM

March 19, 2024

Today at the GPU Technology Conference, Nvidia launched a new offering aimed at helping customers quickly deploy their generative AI applications in a secure, s Read more…

The Generative AI Future Is Now, Nvidia’s Huang Says

March 19, 2024

We are in the early days of a transformative shift in how business gets done thanks to the advent of generative AI, according to Nvidia CEO and cofounder Jensen Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. Wh Read more…

Alibaba Shuts Down its Quantum Computing Effort

November 30, 2023

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Leading Solution Providers

Contributors

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

Google Introduces ‘Hypercomputer’ to Its AI Infrastructure

December 11, 2023

Google ran out of monikers to describe its new AI system released on December 7. Supercomputer perhaps wasn't an apt description, so it settled on Hypercomputer Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Intel Won’t Have a Xeon Max Chip with New Emerald Rapids CPU

December 14, 2023

As expected, Intel officially announced its 5th generation Xeon server chips codenamed Emerald Rapids at an event in New York City, where the focus was really o Read more…

IBM Quantum Summit: Two New QPUs, Upgraded Qiskit, 10-year Roadmap and More

December 4, 2023

IBM kicks off its annual Quantum Summit today and will announce a broad range of advances including its much-anticipated 1121-qubit Condor QPU, a smaller 133-qu Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire