BBC: US blacklists seven Chinese supercomputer groups

BBC: US blacklists seven Chinese supercomputer groups. “The US has blacklisted seven Chinese groups it accuses of building supercomputers to help its military. It is the first move by the Biden administration to make it harder for China to obtain US technology On Thursday, three companies and four branches of China’s National Supercomputing Center were added to the US blacklist.”

Purdue University: Creating a new type of computing that’s ‘naturally probabilistic’

Purdue University: Creating a new type of computing that’s ‘naturally probabilistic’. “‘You see, nature is unpredictable. How do you expect to predict it with a computer?’ said American physicist Richard Feynman before computer scientists at a conference in 1981. Forty years later, Purdue University engineers are building the kind of system that Feynman imagined would overcome the limitations of today’s classical computers by more closely acting like nature: a ‘probabilistic computer.’”

EurekAlert: Supercomputer in your bedroom

EurekAlert: Supercomputer in your bedroom. “University of Sussex academics have established a method of turbocharging desktop PCs to give them the same capability as supercomputers worth tens of millions of pounds. Dr James Knight and Prof Thomas Nowotny from the University of Sussex’s School of Engineering and Informatics used the latest Graphical Processing Units (GPUs) to give a single desktop PC the capacity to simulate brain models of almost unlimited size.”

Data Center Knowledge: Machine Learning Is Helping High-Performance Computing Go Mainstream

Data Center Knowledge: Machine Learning Is Helping High-Performance Computing Go Mainstream. “Once confined to specialized workloads with high compute requirements, such as academic and medical research, financial modeling, and energy exploration, high-performance computing, or HPC, has in recent years been finding its way into IT of all stripes. This has partly been brought about by the mainstreaming of machine learning (a subset of artificial intelligence), which generally operates at a snail’s pace on conventional servers and needs the added oomph that HPC brings to the table.”

CNET: Quantum computer makers like their odds for big progress

CNET: Quantum computer makers like their odds for big progress. “At the Q2B conference this month, quantum computer makers Google, IBM, Honeywell, IonQ and Xanadu detailed specific steps they expect by 2024 that will push their machines further down the road of commercial practicality. Those achievements include increasing quantum computers’ scale, performance and reliability. Private sector spending on quantum computing products and services will likely more than triple to $830 million in 2024, up from $250 million in 2019, according to a forecast from Hyperion Research.”

MIT Technology Review: Tiny four-bit computers are now all you need to train AI

MIT Technology Review: Tiny four-bit computers are now all you need to train AI. “Deep learning is an inefficient energy hog. It requires massive amounts of data and abundant computational resources, which explodes its electricity consumption. In the last few years, the overall research trend has made the problem worse. Models of gargantuan proportions—trained on billions of data points for several days—are in vogue, and likely won’t be going away any time soon. Some researchers have rushed to find new directions, like algorithms that can train on less data, or hardware that can run those algorithms faster. Now IBM researchers are proposing a different one. Their idea would reduce the number of bits, or 1s and 0s, needed to represent the data—from 16 bits, the current industry standard, to only four.”

Scientific American: Light-Based Quantum Computer Exceeds Fastest Classical Supercomputers

Scientific American: Light-Based Quantum Computer Exceeds Fastest Classical Supercomputers. “For the first time, a quantum computer made from photons—particles of light—has outperformed even the fastest classical supercomputers. Physicists led by Chao-Yang Lu and Jian-Wei Pan of the University of Science and Technology of China (USTC) in Shanghai performed a technique called Gaussian boson sampling with their quantum computer, named Jiŭzhāng. The result, reported in the journal Science, was 76 detected photons—far above and beyond the previous record of five detected photons and the capabilities of classical supercomputers.”

Datamation: IBM Changes The Game On Supercomputing

Datamation: IBM Changes The Game On Supercomputing. “IBM just lost the number one spot on the top 500 supercomputer list to Japan and ARM. You’d think they’d be upset. But they aren’t because they have a technology called ‘IBM Bayesian Optimization Technology’ that potentially will supercharge any supercomputer. The performance increase is up to a 140x performance boost (I’ll bet you wish your car supercharger did that), and it could be used with any Supercomputer.”

CNN: Fugaku, the world’s fastest computer, is researching the spread of Covid-19

CNN: Fugaku, the world’s fastest computer, is researching the spread of Covid-19. “For the first time in years, Japan has the fastest supercomputer in the world and it’s being used to research the spread and treatment of the novel coronavirus. Fugaku, which was developed by Fujitsu (FJTSF) and government research institute Riken, ranked first in the Top500 list of global supercomputers, Fujitsu and Riken announced on Tuesday. It marks the first time a Japanese system has taken the top slot since 2011.”

Phys .org: Scientists tap the world’s most powerful computers in the race to understand and stop the coronavirus

Phys .org: Scientists tap the world’s most powerful computers in the race to understand and stop the coronavirus. “The largest number of COVID-19 supercomputing projects involves designing drugs. It’s likely to take several effective drugs to treat the disease. Supercomputers allow researchers to take a rational approach and aim to selectively muzzle proteins that SARS-CoV-2, the virus that causes COVID-19, needs for its life cycle.”

COVID-19: Quantum computing could someday find cures for coronaviruses and other diseases (TechRepublic)

TechRepublic: COVID-19: Quantum computing could someday find cures for coronaviruses and other diseases. “When it comes to finding a vaccine that can halt and eradicate the deadly COVID-19 virus, today’s supercomputers can only do so much. While supercomputers can do amazing things, they are not complex enough to find answers to nature’s deepest and most complicated secrets, such as quickly and carefully mapping out the molecular structures of viruses so they can be defeated with modern medicines and treatments. But an answer awaits perhaps five to 10 years away in the form of quantum computers, which are exponentially more powerful than traditional classic computers, according to computer scientists and other researchers.”

Wired: To Beat Covid-19, Scientists Try to ‘See’ the Invisible Enemy

Wired: To Beat Covid-19, Scientists Try to ‘See’ the Invisible Enemy. “ROMMIE AMARO HAS barely slept over the last month. Her voice buzzes with restless energy; her long sentences are punctuated with abrupt pauses as she recovers her train of thought. ‘Oh my God, can you tell I’m getting tired?’ the UC San Diego biophysicist asks. But ‘now is the time to not sleep,’ she says. In the past few weeks, she and her international research team have been working at all hours to deliver a powerful new tool to be used to fight the global pandemic. They are creating a moving digital replica of the coronavirus—simulated using a supercomputer—that strives for scientific accuracy down to the microbe’s individual atoms.”

EurekAlert: D-Wave provides free quantum cloud access for global response to COVID-19

EurekAlert: D-Wave provides free quantum cloud access for global response to COVID-19. “D-Wave Systems Inc., the leader in quantum computing systems, software, and services, today announced the immediate availability of free access to its quantum systems via the Leap quantum cloud service for anyone working on responses to the COVID-19 crisis. Joining the effort are partners and customers including CINECA, DENSO, Forschungszentrum Jülich, Kyocera Corporation, KYOCERA Communication Systems, MDR/Cliffhanger, Menten AI, NEC Solution Innovators Ltd., OTI Lumionics, QAR Lab at LMU Munich, Sigma-i, Tohoku University, and Volkswagen, who will provide access to engineering teams with expertise on how to use the quantum computer and formulate problems, as well as help in developing solutions.”

TechCrunch: Coronavirus pushes Folding@Home’s crowdsourced molecular science to exaflop levels

TechCrunch: Coronavirus pushes Folding@Home’s crowdsourced molecular science to exaflop levels. “The long-running Folding@Home program to crowdsource the enormously complex task of solving molecular interactions has hit a major milestone as thousands of new users sign up to put their computers to work. The network now comprises an ‘exaflop’ of computing power: 1,000,000,000,000,000,000 operations per second.”

IBM Goes All In On Fight Against Covid-19: The Tech Industry Goes To War (Datamation)

Datamation: IBM Goes All In On Fight Against Covid-19: The Tech Industry Goes To War. “IBM had earlier announced they were pivoting the most potent Supercomputer in the world, Summit, to fight Covid-19. The result was that they have been able, with Oak Ridge Laboratory and the University of Tennessee, to screen 8,000 compounds to find out which ones were likely to mitigate Covid-19….This week IBM announced they were adding another 16 additional systems, that’s 330 petaflops, 775K CPU cores, 34,000 GPUS, in collaboration with the White House Office of Science and Technology Policy, and the US Department of Energy through a massive technology pool.”