ORNL Scientists Demonstrate Cryogenic Memory Cell Design

January 14, 2020

Jan. 14, 2020 — Scientists at the Department of Energy’s Oak Ridge National Laboratory have experimentally demonstrated a novel cryogenic, or low temperature, memory cell circuit design based on coupled arrays of Josephson junctions, a technology that may be faster and more energy efficient than existing memory devices. If successfully scaled, this type of cryogenic memory array could advance a variety of applications including quantum and exascale computing.

ORNL-developed cryogenic memory cell circuit designs fabricated onto these small chips by SeeQC, a superconducting technology company, successfully demonstrated read, write and reset memory functions. Image courtesy of Carlos Jones/Oak Ridge National Laboratory, U.S. Dept. of Energy

“In our design, we have attempted a fundamentally different path that employs small, inductively coupled arrays of Josephson junctions,” said Yehuda Braiman of ORNL’s Computational Sciences and Engineering Division. “If scaled, such memory cell arrays could be orders of magnitude faster than existing memories while consuming very little power.”

The cells are designed to operate in super cold temperatures and were tested at just 4 Kelvin above absolute zero, about minus 452 degrees Fahrenheit. In conditions this cold, atoms slow down and certain materials lose resistance to the flow of electricity, becoming superconductors. Because superconductors have no resistance to electrical flow, they lose an almost negligible amount of energy as heat.

While the promise of building faster, more energy efficient computers based on these cryogenic technology principals has enticed researchers for decades, building reliable cryogenic “memories,” the parts of computers that store information for basic computing functions, has long remained an obstacle.

A different design

The ORNL-developed design deviates from existing cryogenic memory technologies because its memory cells, the localized parts of the circuit that hold one binary digit of a 0 or 1, known as one “bit” of information, are operated using three inductively coupled Josephson junctions.

Josephson junctions are well-established cryogenic electrical devices that can harness magnetic flux to store data. The ORNL design, which employs a small number of these junctions, could offer advantages over some of the recently studied low-temperature memory cells. Many of these technologies lean on a type of digital logic called single flux quantum, or SFQ. Others are based on magnetic Josephson junctions, which still pose some fabrication challenges for cryogenic memory applications.

“People are looking for something different,” Braiman said. “We are using typical junctions, which do not require any particular fabrication design. It’s an inherently different principle itself that makes the cell operate.”

Uniquely, their ternary design allows all of the basic memory operations — read, write and reset — to be implemented on the same three-Josephson-junction cell. This capability may help add stability while saving space and energy as the cell circuits are scaled into larger arrays, a step that has caused problems for existing technologies.

“The mechanism on which all of these [existing] types of cryogenic circuits are based is fundamentally unstable,” said Niketh Nair, a postdoctoral researcher at ORNL who worked on the design. “When you scale these circuits, the instability that exists in these systems may hit a critical point.”

Design confirmation

To confirm the viability of their new design, the ORNL team jointly tested the cell circuits with SeeQC, a superconducting technology company. SeeQC scientists fabricated the ORNL design onto 5 millimeter by 5 millimeter chips — about the diameter of a standard pencil eraser — with circuits at each corner.

The chips were mounted onto a long pole, called a cryogenic probe, connected by wires to a desktop computer at room temperature. Scientists dunked the chips into a specialized container filled with liquid helium to cool the circuit to a temperature of 4 Kelvin. According to ORNL-directed test procedures, they then sent electrical pulses from the room temperature computer to test the memory function of the cells.

Tests of four cell circuit designs with slightly different specifications demonstrated not only that the cells work, but also that they function robustly and operate in a wider range of experimental parameters than the team had initially envisioned.

This confirmation comes three years after the ORNL team, which includes Braiman, Nair and Neena Imam, originally analyzed and simulated the logic of the cryogenic memory cell design in papers published in Superconductor Science and Technology and Physical Review E.

Though the researchers were excited to confirm their predictions, they are cautious to say their initial results will lead to a breakthrough. “What has been demonstrated is on a single cell level,” said Braiman. “What people care about are very large arrays of memory cells.”

As a next step, the ORNL team will work to implement their cells in increasingly large arrays and test designs using cryogenic testing equipment that the lab recently purchased. The new laboratory setup will enable future onsite research of cryogenic technologies.

Support for this work was provided by DOE’s Office of Science.

About Oak Ridge National Laboratory

ORNL is managed by UT–Battelle for DOE’s Office of Science, the single largest supporter of basic research in the physical sciences in the United States. DOE’s Office of Science is working to address some of the most pressing challenges of our time. For more information, please visit energy.gov/science.


Source: Oak Ridge National Laboratory

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!

Quantum Internet: Tsinghua Researchers’ New Memory Framework could be Game-Changer

April 25, 2024

Researchers from the Center for Quantum Information (CQI), Tsinghua University, Beijing, have reported successful development and testing of a new programmable quantum memory framework. “This work provides a promising Read more…

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Point. The system includes Intel's research chip called Loihi 2, Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Research senior analyst Steve Conway, who closely tracks HPC, AI, Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, and this day of contemplation is meant to provide all of us Read more…

Intel Announces Hala Point – World’s Largest Neuromorphic System for Sustainable AI

April 22, 2024

As we find ourselves on the brink of a technological revolution, the need for efficient and sustainable computing solutions has never been more critical.  A computer system that can mimic the way humans process and s Read more…

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing Read more…

Quantum Internet: Tsinghua Researchers’ New Memory Framework could be Game-Changer

April 25, 2024

Researchers from the Center for Quantum Information (CQI), Tsinghua University, Beijing, have reported successful development and testing of a new programmable Read more…

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Poin Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Resear Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit 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…

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…

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…

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…

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…

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…

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…

Leading Solution Providers

Contributors

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…

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…

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…

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…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

Intel’s Xeon General Manager Talks about Server Chips 

January 2, 2024

Intel is talking data-center growth and is done digging graves for its dead enterprise products, including GPUs, storage, and networking products, which fell to Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire