Chip-architecture breakthrough accelerates path to exascale computing; helps computers tackle complex, cognitive tasks such as pattern recognition sensory processing
Lawrence Livermore National Laboratory (LLNL) today announced it will receive a first-of-a-kind brain-inspired supercomputing platform for deep learning developed by IBM Research. Based on a breakthrough neurosynaptic computer chip called IBM TrueNorth, the scalable platform will process the equivalent of 16 million neurons and 4 billion synapses and consume the energy equivalent of a hearing aid battery – a mere 2.5 watts of power.
The brain-like, neural network design of the IBM Neuromorphic System is able to infer complex cognitive tasks such as pattern recognition and integrated sensory processing far more efficiently than conventional chips.
The new system will be used to explore new computing capabilities important to the National Nuclear Security Administration’s (NNSA) missions in cybersecurity, stewardship of the nation’s nuclear weapons stockpile and nonproliferation. NNSA’s Advanced Simulation and Computing (ASC) program will evaluate machine-learning applications, deep-learning algorithms and architectures and conduct general computing feasibility studies. ASC is a cornerstone of NNSA’s Stockpile Stewardship Program to ensure the safety, security and reliability of the nation’s nuclear deterrent without underground testing.
“Neuromorphic computing opens very exciting new possibilities and is consistent with what we see as the future of the high performance computing and simulation at the heart of our national security missions,” said Jim Brase, LLNL deputy associate director for Data Science. “The potential capabilities neuromorphic computing represents and the machine intelligence that these will enable will change how we do science.”
The technology represents a fundamental departure from computer design that has been prevalent for the past 70 years, and could be a powerful complement in the development of next-generation supercomputers able to perform at exascale speeds, 50 times (or two orders of magnitude) faster than today’s most advanced petaflop (quadrillion floating point operations per second) systems. Like the human brain, neurosynaptic systems require significantly less electrical power and volume.
“The low power consumption of these brain-inspired processors reflects industry’s desire and a creative approach to reducing power consumption in all components for future systems as we set our sights on exascale computing,” said Michel McCoy, LLNL program director for Weapon Simulation and Computing.
“The delivery of this advanced computing platform represents a major milestone as we enter the next era of cognitive computing,” said Dharmendra Modha, IBM fellow and chief scientist of Brain-inspired Computing, IBM Research. “We value our partnerships with the national labs. In fact, prior to design and fabrication, we simulated the IBM TrueNorth processor using LLNL’s Sequoia supercomputer. This collaboration will push the boundaries of brain-inspired computing to enable future systems that deliver unprecedented capability and throughput, while minimizing the capital, operating and programming costs – keeping our nation at the leading edge of science and technology.”
A single TrueNorth processor consists of 5.4 billion transistors wired together to create an array of 1 million digital neurons that communicate with one another via 256 million electrical synapses. It consumes 70 milliwatts of power running in real time and delivers 46 giga synaptic operations per second – orders of magnitude lower energy than a conventional computer running inference on the same neural network. TrueNorth was originally developed under the auspices of the Defense Advanced Research Projects Agency’s (DARPA) Systems of Neuromorphic Adaptive Plastic Scalable Electronics (SyNAPSE) program, in collaboration with Cornell University.
The Latest on: Neuromorphic computing
[google_news title=”” keyword=”neuromorphic computing” num_posts=”10″ blurb_length=”0″ show_thumb=”left”]
via Google News
The Latest on: Neuromorphic computing
- Taiwan Semiconductor Makes Chips For 3 Of The Top 4 Greatest Growth Technologieson September 26, 2023 at 2:16 pm
Neuromorphic Chips: These chips are engineered to emulate ... Generative AI requires higher computing power and interconnected bandwidth, which drives increasing semiconductor content. Whether using ...
- NTT Research Boosts Scientific Teams with Nine New Hireson September 26, 2023 at 6:34 am
Leleu, Bastidas, Okawa and Jain, the five research fellows and Manae Abe," said Kazuhiro Gomi, President & CEO of NTT Research. "I'm excited to see progress on all fronts: the PHI Lab deepening its ...
- Analog Computing for AI: How It Could Make Us Re-Think the Futureon September 22, 2023 at 7:03 am
Explore how AI is paving the way for a renaissance in computing, transitioning from digital to analog, with some inspiration from our brains.
- AFRL Seeks White Papers for $498M Extreme Computing Broad Agency Announcementon September 22, 2023 at 2:46 am
The Air Force Research Laboratory has begun soliciting white papers for a potential five-year, $497.9 million broad agency announcement that seeks to support research, development, integration and ...
- BrainChip Engages VVDN to Deliver Industry's First Commercial Edge Box Based on Neuromorphic Technologyon September 20, 2023 at 11:33 pm
“We are excited to bring the benefits of neuromorphic computing to the Edge AI market with VVDN as our lead partner,” said Sean Hehir, CEO of BrainChip. “This portable and compact Edge box is a ...
- BrainChip Engages VVDN to Deliver Industry’s First Commercial Edge Box Based on Neuromorphic Technologyon September 20, 2023 at 6:40 pm
“We are excited to bring the benefits of neuromorphic computing to the Edge AI market with VVDN as our lead partner,” said Sean Hehir, CEO of BrainChip. “This portable and compact Edge box ...
- BrainChip Engages VVDN to Deliver Industry’s First Commercial Edge Box Based on Neuromorphic Technologyon September 20, 2023 at 2:39 pm
VVDN Technologies is an industry-leading device manufacture and solutions provider that has extensive experience in developing and deploying vision-based solutions for various domains, such as ...
- The future of computing - a hybrid superpower of technologieson September 20, 2023 at 1:59 am
I'm very optimistic about the future of neuromorphic computing. It doesn't follow traditional sequential processing; instead, it tries to imitate how human neurons process information. They are ...
- Intel unveils Meteor Lake processor to democratize AI techon September 19, 2023 at 3:35 pm
Intel showed off the chip company's latest code-named "Meteor Lake" processor with an AI-based neural processing unit.
- Neuromorphic Computing Systems Market | How the Market Will Witness Substantial Growth in the Upcoming yearson September 19, 2023 at 12:39 am
Competitive Analysis: - benefits your analysis after businesses compete for your main customers, Neuromorphic Computing Systems Market Share by Company Information, Description and Business ...
via Bing News