Berkeley Lab Computing Sciences

Berkeley Lab Computing Sciences

@cs.lbl.gov

The Computing Sciences Area at Berkeley Lab develops cutting-edge computational methods, leverages HPC, and applies data science to drive innovation. Our four divisions—AMCR, SciData, NERSC, and ESnet—advance research in AI, math, energy, and more.

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Berkeley Lab Computing Sciences reposted

Berkeley Lab
@berkeleylab.lbl.gov

In a big step for quantum computing, Berkeley Lab and NVIDIA are integrating quantum processors to supercomputers via NVQLink. Our open-source QubiC controller will bring us closer to more powerful and reliable quantum computers. #NVIDIAGTC @atap.lbl.gov ✨ ⬇️ nvidianews.nvidia.com/news/nvidia-...

nvidianews.nvidia.comNVIDIA Introduces NVQLink — Connecting Quantum and GPU Computing for 17 Quantum Builders and Nine Scientific LabsNVIDIA today announced NVIDIA NVQLink™, an open system architecture for tightly coupling the extreme performance of GPU computing with quantum processors to build accelerated quantum supercomputers.
Berkeley Lab Computing Sciences
@cs.lbl.gov

Meet GenomeOcean: #AI that “speaks” DNA! 🌊🧬 Developed @jgi.doe.gov, this generative AI model is trained on 220+ terabases of #environmental metagenomic data using @nersc.bsky.social #HPC. With 4 billion parameters, it designs novel microbial DNA sequences ➡️ bit.ly/GenomeOcean @berkeleylab.lbl.gov

bit.lyGenomeOcean Leverages AI to Decode Nature’s Secret Language | Joint Genome InstituteTrained on environmental data, a new JGI tool more accurately facilitates microbial genome discoveries.

Berkeley Lab Computing Sciences reposted

Berkeley Lab
@berkeleylab.lbl.gov

Computational researcher Revathi Jambunathan knows that better understanding pulsars, the spectacular “cosmic lighthouses” of the universe, will lead to better particle accelerators and help us achieve the dream of fusion energy. Learn more in this video! 🎥 @cs.lbl.gov 🧪

vimeo.comBasics2Breakthroughs: Simulating pulsars for insights into fundamental physicsFormed from collapsed stars, pulsars are tiny astronomical objects that emit stunning, twin beams of light from each pole. Researcher Revathi Jambunathan is developing…
Berkeley Lab Computing Sciences
@cs.lbl.gov

A 2013 DOE Early Career Award let Aydin Buluç develop new graph algorithms and scalable computing, speeding discoveries from protein folding to genome assembly. Now at @berkeleylab.lbl.gov, he advances sparse computations and cross-disciplinary science: bit.ly/LBL_ab #machinelearning #ai #science

energy.govAydin Buluç: Then and Now / 2013 Early Career Award WinnerTo solve challenges with ever-larger data sets, Aydin Buluç develops algorithms to increase computers’ efficiency and reduce run time.
Berkeley Lab Computing Sciences
@cs.lbl.gov

DYK Open Molecules 2025—an unprecedented molecular simulation dataset—was just released? Co-led by @berkeleylab.lbl.gov & #Meta, this resource could transform #MachineLearning for real-world #chemistry, #biology, & #energy technologies: bit.ly/OMol25 #AI #MaterialScience #Science #Research #HPC

bit.lyComputational Chemistry Unlocked: A Record-Breaking Dataset to Train AI Models has Launched - Berkeley LabScientists will finally be able to simulate the chemistry that drives our bodies, our environment, and our technologies.
Berkeley Lab Computing Sciences
@cs.lbl.gov

Exciting news! @berkeleylab.lbl.gov's new “Science Power-Up" series starts with a conversation featuring Bert de Jong, Director of the Department of Energy’s Quantum Systems Accelerator. Learn how we’re harnessing #quantum tech to tackle next-gen science & energy challenges: bit.ly/QSAspu #Quantum

bit.lyScience Power-Up: Rewriting the Rules with QuantumAt Berkeley Lab, scientists are rewriting the rules of computing, chemistry, materials science, and more through the promise of quantum information science. Bert de Jong, Director of the Quantum Systems Accelerator, a DOE National Quantum Information Science Research Center, shares how quantum computers, sensors, and networks are poised to tackle our most complex energy challenges. Collaborating with hundreds of researchers across institutions pushing the limits of hardware and algorithms, quantum research at Berkeley Lab is forging the future of breakthroughs. This episode is the first in our Science Power-Up series, featuring experts across Berkeley Lab on research topics shaping society today, including artificial intelligence, microelectronics, quantum and more. https://www.lbl.gov/research/quantum/ More Berkeley Lab news: http://newscenter.lbl.gov Subscribe: https://youtube.com/berkeleylab Berkeley Lab Social Media: http://socialmedia.lbl.gov
Berkeley Lab Computing Sciences
@cs.lbl.gov

DYK @berkeleylab.lbl.gov researchers have developed a faster method for topological #DataAnalysis, significantly improving efficiency in uncovering hidden structures in complex datasets? This breakthrough has the potential to transform data analysis in fields like #AI & #bio: bit.ly/TopOpt_LBNL

bit.lyTaking Big Steps, Berkeley Lab Scientists Shape Improvements in Topological Optimization - Computing SciencesBerkeley Lab scientists have developed a faster method for topological data analysis, improving efficiency in uncovering hidden structures in complex datasets. This breakthrough could transform data a...
Berkeley Lab Computing Sciences
@cs.lbl.gov

🎉 Congrats to @berkeleylab.lbl.gov's Stefan Wild! 🎉 He has been named a 2025 Society for Industrial and Applied Mathematics ( #SIAM ) Fellow for his significant contributions to derivative-free optimization and its applications: bit.ly/WildSIAM25 #AI #hpc #appliedmath #math #engineering #science

bit.lyAMCR’s Stefan Wild Named 2025 SIAM Fellow - Computing SciencesStefan Wild has been named a 2025 SIAM Fellow. This recognition celebrates his groundbreaking work in derivative-free optimization, which has made significant impacts across multiple scientific and en...
Berkeley Lab Computing Sciences
@cs.lbl.gov

🚨Calling all Grad students, postdocs, scientists & engineers! @berkeleylab.lbl.gov’s Deep Learning for Science (DL4Sci) Summer School is your chance to is your chance to explore deep learning & generative #AI through expert-led sessions and hands-on HPC training: dl4sci-school.lbl.gov

dl4sci-school.lbl.govdl4sci 2025Hosted by Computing Sciences at Berkeley Lab, the 2025 Deep Learning for Science (DL4SCI) Summer School is a five-day immersive program bringing together researchers and engineers to explore the lates...
Berkeley Lab Computing Sciences
@cs.lbl.gov

✨Congratulations on this incredible milestone, Tina! ✨ Your dedication, leadership, and countless contributions to @nersc.bsky.social, @berkeleylab.bsky.social, and #HPC have been truly transformative. We wish you all the best in your next adventures!

HPC Guru@hpcguru.bsky.social

Tina Declerck will retire from @nersc.bsky.social at the end of this calendar year, after first arriving at NERSC in 1997 www.nersc.gov/news-publica... #HPC #AI @lbnlcs.bsky.social

nersc.govTina Declerck to Retire After Decades on the Cutting EdgeNERSC Systems Department Head Tina Declerck prepares to retire after decades at NERSC – but she still thinks it's a fun place to work.

Berkeley Lab Computing Sciences reposted

Ted Underwood
@tedunderwood.com

Two tenure-track positions in AI at the School of Information Sciences, UIUC. Artificial intelligence is broadly construed here to include AI policy, governance, ethics, AI for cultural heritage, &c. Review of applications will start Jan 6th. Please RT and share! #MLSky #NeurIPS

illinois.csod.comTenure-Track Faculty Positions in Artificial Intelligence-School of Information SciencesThe School of Information Sciences at the University of Illinois invites applications from qualified individuals for 100% full-time Tenure-Track Facul...
Berkeley Lab Computing Sciences
@cs.lbl.gov

Billions of gold atoms race near the speed of light in packs at @brookhavenlab.bsky.social's RHIC, but they don’t always line up perfectly. A @berkeleylab.bsky.social-led team’s #MachineLearning tool helps pack particle beams even tighter, improving collisions & discoveries: bit.ly/GPTune_LBNL #AI

bit.lyA Powerful Machine Learning Algorithm that Nudges Gold Atoms Closer TogetherAt the Relativistic Heavy Ion Collider (RHIC) researchers smash gold atoms at near-light speeds to unlock the Universe’s secrets. A Berkeley Lab-led team developed an AI algorithm to optimize ion beam...

Berkeley Lab Computing Sciences reposted

NERSC
@nersc.bsky.social

🏆 Congrats to the team behind the project "Breaking the Million-Electron and 1 EFLOP/s Barriers: Biomolecular-Scale Ab Initio Molecular Dynamics Using MP2 Potentials" for winning the prestigious Gordon Bell Prize at #SC24! @nersc.bsky.social is proud to have supported this exciting work.

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