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SRP Workshop Matches Faculty-and-Student Teams with Berkeley Lab Research Collaborators

December 6, 2018

Nearly 30 faculty members from schools all over the U.S. attended the latest Sustainable Research Pathways matching workshop, held December 4, 2018 in Berkeley Lab’s Shyh Wang Hall. Read More »

Novel X-ray Imaging Technique Provides Nanoscale Insights into Behavior of Biological Molecules

December 5, 2018

CAMERA researchers have spent the past several years developing a new data analysis approach for fluctuation X-ray scanning that helps avoid motion blur and yields better, more detailed three-dimensional models. Read More »

CRD Scientists Bell, Colella Receive Lab Lifetime Achievement Awards

December 3, 2018

John Bell and Phil Colella of Berkeley Lab's Computational Research Division (CRD) each received the 2018 Berkeley Lab Prize – Lifetime Achievement Award at a special ceremony on Nov. 30. The Berkeley Lab Prize is presented annually to honor career-spanning exceptional achievements. Read More »

Berkeley Lab Researchers to Build Standards for Neurophysiology Data

November 20, 2018

Researchers from Berkeley Lab and the Allen Institute for Brain Science will receive $2 million from the National Institutes of Health to develop a next-generation data format and software ecosystem for the Neurodata Without Borders: Neurophysiology (NWB:N) project. Read More »

SENSEI Showcased at SC18

November 7, 2018

CRD scientists at SC18 are showcasing SENSEI, a lightweight software infrastructure that enables simulations to make use of a wide array of popular in situ analysis and visualization packages. Read More »

CRD Researchers Part of Team Honored with Klaus Halbach Award

November 2, 2018

CRD staff were among the Berkeley Lab computer scientists, engineers and mathematicians recently honored with the 2018 Klaus Halbach Award for innovative instrumentation at the Advanced Light Source. Read More »

CRD Hosts Emerging Women Leaders

October 22, 2018

Researchers Ijeoma Ezika of Nigeria and Edith Mugehu of Zimbabwe spent two weeks studying biotechnology and data analytics at Berkeley Lab as part of the U.S. Department of State's TechWomen Emerging Leaders program. Read More »

HP-CONCORD Paves the Way for Scalable Machine Learning in HPC

October 1, 2018

A team of Berkeley Lab researchers has demonstrated how a new parallel algorithm called HP-CONCORD can help address some of the most challenging problems in data-driven science. Read More »

AMReX Co-Design Center Helps Five ECP Projects Hit Performance Goals

September 26, 2018

The AMReX Co-Design Center makes available a state-of-the-art AMR infrastructure with the functionality that five ECP application projects and other AMR applications use to be able to effectively take advantage of current and future architectures. Read More »

Berkeley Lab to Build Advanced Quantum Computing Testbed

September 24, 2018

The U.S. Department of Energy announced that Berkeley Lab will receive $30 million over five years to build and operate an Advanced Quantum Testbed (AQT). Researchers will use the testbed to explore superconducting quantum processors and evaluate how these emerging quantum devices can be utilized to advance scientific research. Read More »

Berkeley Lab to Push Quantum Information Frontiers With New Programs in Computing, Physics, Materials, and Chemistry

September 24, 2018

A series of DOE Office of Science awards, announced today, will enable Berkeley Lab to accelerate the development of quantum computing. Berkeley Lab Computing Sciences staff will play leading roles in three of the awards. Read More »

At Biden Summit, CRD's Ushizima Discusses Using Machine Learning to Improve Cancer Detection

September 24, 2018

Dani Ushizima, a staff scientist in the Computational Research Division who has adapted algorithms used in materials research to scan for cervical cancer, described her research in a panel discussion at the Sept. 21 East Bay Biden Cancer Community Summit. Read More »

Berkeley Lab Researchers Co-Author IARIA’s Best Paper

September 23, 2018

A paper co-authored by Berkeley Lab’s Esmond Ng and Chao Yang won best paper at this year’s International Academy, Research, and Industry Association’s (IARIA’s) Computation Tools 2018 conference in Barcelona, Spain. The paper, Deep Learning: A Tool for Computational Nuclear Physics, describes how feed-forward artificial neural networks can be used to predict the properties of atomic nuclei. Read More »

Berkeley Lab, BIDS Take on Big Data

August 30, 2018

The BIDS ecosystem comprises an impressive network of Fellows, including some who are Berkeley Lab scientists. This month, several Berkeley Lab-BIDS Fellows are organizing two of events to share their data-science expertise: Machine Learning for Science (ML4Sci) Workshop and the California Water Data Hackathon. Read More »

Exascale Computing Project Spotlights ExaGraph and STRUMPACK/SuperLU Collaboration

August 29, 2018

Results from a collaboration between the Exascale Computing Project's Sparse Solvers Software Technology project and ExaGraph Co-Design Center showed that the parallel AWPM (approximate-weight perfect matching) code can run up to 2,500x faster than the sequential algorithm on 256 nodes of NERSC's Cori supercomputer. Read More »

Berkeley Lab Researchers Showcase Deep Learning for High Energy Physics at CHEP

August 17, 2018

In a plenary talk given at the recent CHEP conference, NERSC and CRD researchers presented findings from a study in which they demonstrated how generative adversarial networks can speed simulations in high energy physics studies. Read More »

High School Summer Student Sanjana Shah Is 'Posit-ive' About Coding

August 17, 2018

Sanjana Shah, a high school student from the Peninsula discovered her passion for programming when she attended a coding workshop for youth sponsored by a local tech company. She is also the first (and so far, the only) high school student CRD's David Donofrio has ever hired through the Computing Sciences Summer Student program. Read More »

Educating for Exascale

August 10, 2018

Some 25 graduate and post-graduate students recently spent four intense days preparing for the next generation of parallel supercomputers and exascale at the Parallel Computing in Molecular Sciences (ParCompMolSci) Summer School and Workshop hosted by Berkeley Lab held August 6-9 in downtown Berkeley. Read More »

Tess Smidt, “Atomic Architect” and 2018 Luis Alvarez Fellow

July 26, 2018

To non-scientists, Tess Smidt describes herself as an “atomic architect.” And as Berkeley Lab’s 2018 Luis W. Alvarez Fellow in Computing Sciences, Smidt is designing a neural network that can automatically generate novel atomic crystal structures. Read More »

Berkeley Lab-Developed Digital Library is a Game Changer for Environmental Research

July 24, 2018

Developed by Berkeley Lab researchers, ESS-DIVE is a new digital archive that serves as a repository for hundreds of U.S. Department of Energy-funded research projects under the agency’s Environmental System Science umbrella. Read More »

New ECP Co-Design Center to Focus on Exascale Machine Learning

July 20, 2018

The Exascale Computing Project has initiated ExaLearn, a new ECP co-design center focusing on exascale machine-learning software. Berkeley Lab is one of eight national labs participating. Read More »

Univ. of Puerto Rico Team Applies Deep Learning to Structural Biology

July 19, 2018

Two students from the University of Puerto Rico Mayagüez are spending their summer in Berkeley Lab’s Computational Chemistry, Materials & Climate Group learning everything they can about deep learning and how it can improve protein structure prediction. Read More »

'Women @ The Lab' Recognizes CRD’s Ann Almgren and Daniela Ushizima

July 9, 2018

Sixteen women from various Berkeley Lab areas will be honored at the “Women @ The Lab” awards ceremony today at 3 p.m. in the Building 50 auditorium. CRD’s Ann Almgren and Daniela Ushizima will be among the honorees. Read More »

Berkeley Lab Hosts Eight CSGF Fellows in 2018

July 3, 2018

This year, Berkeley Lab will be hosting eight Computational Science Graduate Fellows. These represent some of the nation’s brightest graduate students in computational science, each pursing a PhD in a field that uses HPC to solve complex science and engineering problems. Read More »

Berkeley Lab CS Staff Play Integral Role in ISC18

June 21, 2018

Numerous Berkeley Lab Computing Sciences staff will be participating in the ISC18 conference June 24-28 in Frankfurt, Germany. Read More »

Berkeley Researchers Use Machine Learning to Search Science Data

June 19, 2018

Science Search, a web-based search engine for scientific data is currently being developed by a team of researchers in Berkeley Lab's CRD and NERSC. The team is also developing innovative machine learning tools to pull contextual information from scientific datasets and automatically generate metadata tags for each file. As a proof-of-concept, the team is working with staff at the Molecular Foundry, to demonstrate the concepts of Science Search on the images captured by the facility's instruments. Read More »

De Jong Named Electronic Structure Editor-in-Chief

June 18, 2018

CRD Senior Scientist and Group Leader Bert de Jong was recently named a founding editor-in-chief for Electronic Structure, a new Institute of Physics scholarly journal. Read More »

CRD Post-doc Goes from Medical Devices to Mars Landing

June 15, 2018

Applied mathematician Mike MacNeil joined the Computational Research Division’s Analytics and Visualization group at Berkeley Lab as a postdoctoral researcher in August 2017, where he is working to develop new algorithms that improve scientists’ ability to shift through the image data sets they glean from experiments run at Berkeley Lab’s Advanced Light Source. Read More »

Physicists and Machine Learning Experts Team Up to Tackle the TrackML Challenge

June 11, 2018

Machine learning experts, computer scientists and physicists have partnered with Kaggle on the TrackML Particle Tracking Challenge, a competition designed to inspire the development of an algorithm that can quickly reconstruct particle tracks from 3D coordinates left in silicon particle detectors following millions of particle collisions. Read More »

Computing Sciences Summer Student Program Draws 90+ Participants

June 7, 2018

Dozens of college students from around the world will spend the next two months at Berkeley Lab as part of the Computing Sciences Summer Student Program. Read More »

Berkeley Lab Paves the Way for Real-time Ptychographic Streaming

June 4, 2018

What began nearly a decade ago as a Berkeley Lab Laboratory-Directed Research and Development proposal is now a reality, and it is already changing the way scientists run experiments at the Advanced Light Source—and, eventually, other light sources across the Department of Energy complex—by enabling real-time streaming of ptychographic image data in a production environment. Read More »

New Algorithm Enhances Ptychographic Image Reconstruction

June 4, 2018

Researchers from CAMERA, the University of Texas and Tianjin Normal University—all members of the SHARP collaboration—have developed a model that further enhances SHARP’s reconstruction capabilities. Read More »

Planck Collaboration Wins 2018 Gruber Cosmology Prize

May 15, 2018

The Planck Team—including researchers in Lawrence Berkeley National Laboratory’s (Berkeley Lab’s) Computational Research and Physics divisions—have been awarded the 2018 Gruber Cosmology Prize. Read More »

ACM’s Software System Award Honors Project Jupyter Team

May 2, 2018

The Project Jupyter team has been honored with an ACM Software System Award for developing a tool that has had a lasting influence on computing. Project Jupyter evolved from IPython, an effort pioneered by Fernando Pérez, a staff scientist in Berkeley Lab's CRD. Read More »

Berkeley Lab Hosts Neurodata Without Borders Hackathon

April 28, 2018

Thirty-one neuroscience experts from across the country came to Berkeley Lab last Thursday and Friday to participate in the fifth Neurodata Without Borders: Neurophysiology (NWB:N) project hackathon. Read More »

Berkeley Lab’s Julian Borrill Elected Co-Spokesperson of CMB-S4

April 26, 2018

Berkeley Lab’s Julian Borrill has been elected co-spokesperson for the CMB-S4 collaboration, the next-generation ground-based experiment to study the Cosmic Microwave Background. Read More »

Computational Research Division Hosts UC Merced Grad Students

April 25, 2018

On April 19, a group of PhD students from UC Merced, all participants in the National Science Foundation’s Interdisciplinary Computational Graduate Education program, visited Berkeley Lab to learn about the many ways computing can be applied to research problems. Read More »

Berkeley Lab Researchers Develop Platform for Hosting Science Data Analytics Competitions

April 16, 2018

NNSA is hosting a competition to find innovative algorithms to detect non-natural radiation sources in urban environments, and they've teamed up with researchers in Berkeley Lab’s Computational Research, Nuclear Science and Information Technology divisions to build a Kaggle-inspired data analytics competition platform to host it. Read More »

Helen Cademartori Named CS Deputy for Operations

April 16, 2018

Helen Cademartori, is joining the Computing Sciences Area as Deputy for Operations and Operations Deputy for the CRD. In her new role, Cademartori will manage the CS Directorate's Business, Administration, Safety, Property and Information Technology staff.
Read More »

Mueller’s Career Path a Blueprint for Other Researchers

March 23, 2018

Finding a career can be an exciting and sometimes challenging time in one’s life. It involves being noticed by your peers and making connections to find people to work with. This can be intimidating for some but comes naturally to others, like researcher Juliane Mueller. Read More »

COSMIC Impact: Next-Gen X-ray Microscopy Platform Now Operational

March 21, 2018

With help from Berkeley Lab’s Center for Advanced Mathematics for Energy Research Applications (CAMERA), the Advanced Light Source's new COSMIC (Coherent Scattering and Microscopy) beamline is specialized for studies of active chemistry and electronic properties at tiny scales. Read More »

A Game Changer: Metagenomic Clustering Powered by HPC

March 12, 2018

A team of researchers from Berkeley Lab's CRD and JGI took one of the most popular clustering approaches in modern biology—the Markov Clustering algorithm—and modified it to run quickly, efficiently and at scale on distributed-memory supercomputers. Read More »

Combination of Old and New Yields Novel Power Grid Cybersecurity Tool

March 7, 2018

An R&D project led by Berkeley Lab researchers that combines cybersecurity, machine learning algorithms and commercially available power system sensor technology to better protect the electric power grid has sparked interest from U.S. utilities, power companies and government officials. Read More »

Can Strongly Lensed Type Ia Supernovae Resolve One of Cosmology’s Biggest Controversies?

March 1, 2018

Using the SciDAC developed SEDONA code and NERSC supercomputers, astrophysicists at Berkeley Lab and the University of Portsmouth discovered how to control the effects of "micolensing." Armed with this knowledge they believe they will be able to find 1000 strongly lensed Type Ia supernovae in real-time from LSST data--that's 20 times more than previous expectations. Read More »

Berkeley Lab “Minimalist Machine Learning” Algorithms Analyze Images from Very Little Data

February 21, 2018

Berkeley Lab mathematicians have developed a new approach to machine learning aimed at experimental imaging data. Rather than relying on the tens or hundreds of thousands of images used by typical machine learning methods, this new approach “learns” much more quickly and requires far fewer images. Read More »

Delivering Efficient Parallel I/O with HDF5 on Exascale Computing Systems

February 2, 2018

In an interview with Department of Energy's ECP communications team, Berkeley Lab's Suren Byna and Quincey Koziol talk about delivering efficient parallel I/O with HDF5 on exascale computing systems. Read More »

Berkeley Lab Researchers Contribute to Making Blockchains Even More Robust

January 30, 2018

In the last few years, researchers at Berkeley Lab, UC Davis and University of Stavanger in Norway have developed a new protocol, called BChain, which makes private blockchain even more robust. The researchers are also working with colleagues at Berkeley Lab and beyond to adapt this tool to support applications that are of strategic importance to the Department of Energy’s Office of Science. Read More »

Berkeley Lab’s ArrayUDF Tool Turns Large-scale Scientific Array Data Analysis Into a Cakewalk

January 2, 2018

A novel scalable framework developed by CRD researchers is improving scientific productivity by allowing researchers to run user-defined custom analysis operations on large arrays of data with massively parallel supercomputers, while leaving complex data management and performance optimization tasks up to the underlying system. Read More »