(AGENPARL) – ven 24 maggio 2024 A weekly compendium of media reports on science and technology achievements
at Lawrence Livermore National Laboratory. Though the Laboratory reviews
items for overall accuracy, the reporting organizations are responsible for
the content in the links below.
….. LLNL Report, May 24, 2024
A multi-institutional team involving LLNL researchers has successfully
combined an artificial intelligence-backed platform with supercomputing to
redesign and restore the effectiveness of antibodies whose ability to fight
viruses has been compromised by viral evolution. (Graphic: Adam Connell/LLNL)
… A GUIDE to battling biothreats
A-Alpha Bio, a biotechnology company harnessing synthetic biology and machine
learning to measure, predict and engineer protein-protein interactions, has
received $14.5 million in additional funding from the Department of Defense
(DOD) Joint Program Executive Office for Chemical, Biological, Radiological
and Nuclear Defense’s (JPEO-CBRND’s) Generative Unconstrained Intelligent
Drug Engineering (GUIDE) program to further expand its partnership with
Lawrence Livermore National Laboratory (LLNL).
A-Alpha’s partnership with LLNL began with $1 million in funding in 2022
and was expanded in 2023 with an additional $2.4M, with funding provided by
JPEO-CBRND GUIDE. This collaboration is aimed to preemptively generate data
and train computational models that enable rapid medical countermeasures
against potential future biothreats. The additional support will fund A-Alpha
Bio’s generation of large-scale antibody-antigen binding datasets and
enable training and validation of predictive computational models for
multiple undisclosed pathogen families of concern.
GUIDE’s mission is to leverage integrated computational and experimental
capabilities to accelerate drug development by harnessing the power of
advanced simulation and machine learning. The program was established in
response to the devastating effects of the COVID-19 pandemic, which
highlighted the critical need for rapid medical countermeasures against novel
biothreats. Since predicting the next specific biothreat is not possible, the
DOD focuses on developing capabilities that will enable rapid response to any
emerging challenge.
Read More
Unveiled at the International Supercomputing Conference, the June 2024 Top500
lists three systems with identical components — one computing rack each
from El Capitan’s “Early Delivery System” (EDS), LLNL’s newest
unclassified supercomputer RZAdams and its unclassified “sister” system
Tuolumne. (Graphic: Amanda Levasseur/LLNL)
… To exascale and beyond

Top500 Supers: Nvidia Utterly Dominates Those Shiny New Machines

In the June 2024 Top500 supercomputer rankings, there are new machines on the
list, big and small..
There are three identical machines based on AMD’s Instinct MI300A hybrid
CPU-GPU compute engines installed at Lawrence Livermore National Laboratory,
which made it into the Top50 and which are showing 61.2 % computational
efficiency as testbeds for the future “El Capitan” system that will
almost certainly be ranked No. 1 on the November 2024 Top500 list. It is
expected to come in at around 2.3 exaflops peak and about 1.5 exaflops Rmax
on the HPL test, but the efficiency could be higher and push that up to maybe
1.6 exaflops to even 1.7 exaflops, which would represent 65% to 74%
computational efficiency.
Read More

Top500 Supers: Nvidia Utterly Dominates Those Shiny New Machines

Northern California can expect to see some hot temperatures this summer.
(Image: Adobe Stock)
… It’s getting hot, hot, hot
Summertime is about to seep into Northern California — and you can already
feel it. Warm temperatures are popping up in the region, with inland areas
reaching highs in the 80s.
Summer officially starts on Thursday, June 20. How much warmer will it get
during the season?
This summer could bring the hottest temperatures in recorded history,
according to the Farmers’ Almanac. The almanac has been publishing
long-range weather predictions for the United States and gardening
information since 1818.
Its prediction isn’t far off-base, said Paul Ullrich, climate adaptation
leader at Lawrence Livermore National Laboratory and a professor of regional
and global climate modeling at UC Davis. “I also expect that this summer
will be probably the hottest on record,” he said. “If it’s not one of
the hottest on record, it’s definitely going to be in the top five.”
Ullrich said there has been an upward trend in temperatures over the past 15
years.
Additionally, the Pacific Ocean is transitioning out of an El Niño state
into a more neutral state. El Niño refers to the warming of the ocean
surface. When the ocean’s surface cools and dips below average, the climate
pattern is called La Niña.
Typically, during these neutral states, Ullrich said, there’s a push
towards warmer inland temperatures, particularly in Northern California.
Read More
A snapshot of El Capitan’s server blade.
… Show off your blades
https://www.msn.com/en-us/news/technology/hpe-flaunts-el-capitan-supercomputer-blade-with-amd-s-instinct-mi300a-projected-to-be-world-s-fastest-when-finished-this-year/ar-BB1mrY4h?item=flightsprg-tipsubsc-v1a
A server blade from the upcoming El Capitan supercomputer was shown off at
the ISC High Performance event in Hamburg, Germany. The server blade’s
front cover was stripped off, revealing all of the internal components —
including the extremely potent AMD Instinct MI300A APU.
This is the second time attendees have seen El Capitan’s MI300A’s compute
chips in all their glory. The blade itself, dubbed the HPE Cray
Supercomputing EX255a accelerator blade, consists of a single-slot 1U blade
chassis. But in that small size, it manages to pack a whopping eight MI300A
chips. That’s a densely packed setup, featuring copper cooling blocks with
copper cooling pipes linking everything together.
Naturally, each blade utilizes liquid cooling to help deal with the immense
amount of heat used by the eight APUs. Each MI300A APU has a TDP rating of
550W, with a peak power rating of 760W. That means the cooling for the blades
needs to be able to deal with up to 6,080W — or at least a more manageable
4,400W on average.
Once it’s deployed later this year, El Capitan is poised to become the
world’s fastest supercomputer — dethroning the AMD-based Frontier
supercomputer in the process. It’s worth noting that the Intel-based Aurora
supercomputer currently only reaches half of its targeted performance.
Read More
https://www.msn.com/en-us/news/technology/hpe-flaunts-el-capitan-supercomputer-blade-with-amd-s-instinct-mi300a-projected-to-be-world-s-fastest-when-finished-this-year/ar-BB1mrY4h?item=flightsprg-tipsubsc-v1a
A depiction of the collision of two neutrons simulated on a quantum chip at
the Advanced Quantum Testbed. (Image: Sofia Quaglioni/LLNL)
… Modeling the sun and stars
https://www.iotworldtoday.com/quantum/quantum-hybrid-system-advances-nuclear-reaction-modeling#close-modal
Better simulations of nuclear reactions can provide a greater understanding
of the origin of the elements and support the development of nuclear fusion
technologies.
Lawrence Livermore researchers have successfully used a hybrid
quantum-classical computing system to simulate the scattering of two
neutrons, opening a path to computing nuclear reaction rates that are
currently difficult or impossible to measure in a laboratory.
The nuclear reactions that power the stars and forge the elements are
produced by the interactions of the quantum
mechanical particles, protons and neutrons — subatomic particles found
inside the nucleus of every atom.
Understanding these reactions can enable better modeling of the sun and stars
and help scientists understand how different elements form in the universe,
as well as support the development of fusion-energy technologies.
Sofia Quaglioni, deputy group leader of nuclear data and theory at Lawrence
Livermore, who was involved in the testing, said while the results themselves
were not ground-breaking, demonstrating the algorithm on a quantum computer
was a key achievement.
Read More
https://www.iotworldtoday.com/quantum/quantum-hybrid-system-advances-nuclear-reaction-modeling#close-modal
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