Lifeboat Foundation

By itself, your PC is not anywhere near as powerful as a supercomputer. Don’t worry, neither is mine, or anyone else’s I know. But while none of use have the computing resources to single-handedly unlock the secrets of a virus, there is strength in numbers. As such, the collective efforts of PC users far and wide have propelled the Folding@home project to crunch data at a pace that is 15 times faster than IBM’s Summit, the top supercomputer in the world.

The developers of Folding@home have been posting periodic updates on Twitter, and according to the latest one, the distributed computing project is currently cranking out around 2.4 exaFLOPs of computational power.

With our collective power, we are now at ~2.4 exaFLOPS (faster than the top 500 supercomputers combined)! We complement supercomputers like IBM Summit, which runs short calculations using 1000s of GPUs at once, by spreading longer calculations around the world in smaller chunks! pic.twitter.com/fdUaXOcdFJ April 13, 2020

Wind power surged worldwide in 2019, but will it sustain? More than 340,000 wind turbines generated over 591 gigawatts globally. In the U.S., wind powered the equivalent of 32 million homes and sustained 500 U.S. factories. What’s more, in 2019 wind power grew by 19 percent, thanks to both booming offshore and onshore projects in the U.S. and China.

A study by Cornell University researchers used supercomputers to look into the future of how to make an even bigger jump in wind power capacity in the U.S.

“This research is the first detailed study designed to develop scenarios for how wind energy can expand from the current levels of seven percent of U.S. electricity supply to achieve the 20 percent by 2030 goal outlined by the U.S. Department of Energy National Renewable Energy Laboratory (NREL) in 2014,” said study co-author Sara C. Pryor, a professor in the Department of Earth and Atmospheric Studies, Cornell University. Pryor and co-authors published the wind power study in Nature Scientific Reports, February 2020.

D-Wave, the Canadian quantum computing company, today announced that it is giving anyone who is working on responses to the COVID-19 free access to its Leap 2 quantum computing cloud service. The offer isn’t only valid to those focusing on new drugs but open to any research or team working on any aspect of how to solve the current crisis, be that logistics, modeling the spread of the virus or working on novel diagnostics.

One thing that makes the D-Wave program unique is that the company also managed to pull in a number of partners that are already working with it on other projects. These include Volkswagen, DENSO, Jülich Supercomputing Centre, MDR, Menten AI, Sigma-i Tohoku University, Ludwig Maximilian University and OTI Lumionics. These partners will provide engineering expertise to teams that are using Leap 2 for developing solutions to the Covid-19 crisis.

As D-Wave CEO Alan Baratz told me, this project started taking shape about a week and a half ago. In our conversation, he stressed that teams working with Leap 2 will get a commercial license, so there is no need to open source their solutions and won’t have a one-minute per month limit, which are typically the standard restrictions for using D-Wave’s cloud service.

Quantum-computing vendor D-Wave Systems Inc. said Tuesday it is giving researchers and companies studying the novel coronavirus free access to its early-stage, experimental machines over the cloud.

Canadian firm D-Wave is among several technology companies providing free advanced computing resources to researchers working to combat the global pandemic. International Business Machines Corp., for example, in March started offering free remote access to two of the world’s most powerful supercomputers.

D-Wave has assembled a team of experts from about a dozen universities and companies including Volkswagen AG, Denso Corp. and startup Menten AI who are familiar with its quantum-computing services to help interested researchers program the computers.

Researchers at Oak Ridge National Laboratory (ORNL) have used Summit, the world’s fastest and most powerful supercomputer, to identify 77 small-molecule drug compounds that might warrant further study in the fight against the SARS-CoV-2 coronavirus.

The team performed simulations of more than 8,000 compounds to screen for those that are most likely to bind to the main “spike” protein of the coronavirus, rendering it unable to infect host cells. They ranked compounds of interest that could have value in experimental studies of the virus.

Continue reading “World’s fastest supercomputer finds potential drug compounds for COVID-19” »

IBM’s Summit is currently the fastest supercomputer in the world.

The race toward the first practical quantum computer is in full stride. Companies, countries, collaborators, and competitors worldwide are vying for quantum supremacy. Google says it’s already there. But what does that mean? How will the world know when it’s been achieved?

Using classical computers, computational scientists at PNNL have set a mark that a quantum system would need to surpass to establish quantum supremacy in the realm of chemistry.

That’s because the fastest classical computers available today are getting better and better at simulating what a quantum computer will eventually be expected to do. To prove itself in the real world, a quantum computer will need to be able to outdo what a fast supercomputer can do. And that’s where the PNNL-led team have set a benchmark for quantum computers to beat.

Circa 2019

Google claims it has designed a machine that needs only 200 seconds to solve a problem that would take the world’s fastest supercomputer 10,000 years to figure out.

The speed achieved by the computer represents a breakthrough called “quantum supremacy,” according to a blog post from the company and an accompanying article in the scientific journal Nature.

Continue reading “Google claims its quantum computer can do the impossible in 200 seconds” »

Circa 2015

University of Utah engineers have taken a step forward in creating the next generation of computers and mobile devices capable of speeds millions of times faster than current machines.

The Utah engineers have developed an ultracompact beamsplitter—the smallest on record—for dividing light waves into two separate channels of information. The device brings researchers closer to producing silicon photonic chips that compute and shuttle data with light instead of electrons. Electrical and computer engineering associate professor Rajesh Menon and colleagues describe their invention today in the journal Nature Photonics.

Continue reading “Computing at the speed of light: Team takes big step toward much faster computers” »