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Beta of Neurodata Without Borders Software Now Available
Neuroscientists can now explore a beta version of the new Neurodata Without Borders: Neurophysiology (NWB:N 2.0) software and offer input to developers before it is fully released next year. Read More »
Berkeley Lab Scientists to Lead, Support 12 New SciDAC Projects
When the Department of Energy announced the series of projects under the latest Scientific Discovery through Advanced Computing (SciDAC) program in late 2017, Berkeley Lab scientists, mathematicians and computer scientists were listed as key contributors in two institutes and 10 science application partnerships. Read More »
Berkeley Lab Projects Advance Running, Scheduling of Scientific Workflows on HPC Systems
New software automates time-consuming manual tasks for running scientific workflows, helps users make more efficient use of computing resources. Read More »
Berkeley Lab Staff to Participate in Major Machine Learning Conference
Berkeley Lab’s growing involvement in deep learning research and development will be evident next week when several staff members present papers and posters for the first time at the 2017 Conference on Neural Information Processing Systems. Read More »
CRD Staff Honored with Director's Awards for Service and Outreach
Jon Bashor, Daniela Ushizima and Mariam Kiran were honored at the Berkeley Lab Director’s Awards for Exceptional Achievement ceremony on November 30. Read More »
GraphBLAS: Building Blocks For High Performance Graph Analytics
After nearly five years of collaboration between researchers in academia, industry and national research laboratories—including Berkeley Lab's Aydın Buluç—GraphBLAS, a collection of standardized building blocks for graph algorithms in the language of linear algebra, is publicly available. Read More »
The Mystery of the Star That Wouldn’t Die
Berkeley Lab and UC Berkeley scientists were part of a team that helped to decipher one of the most bizarre spectacles ever seen in the night sky: A supernova that refused to stop shining, remaining bright far longer than an ordinary stellar explosion. What caused the event is puzzling. Read More »
ECP Pagoda Project Rolls Out First Software Libraries
Just one year after the DOE's Exascale Computing Program began funding projects to prepare scientific applications for exascale supercomputers, the Pagoda Project has successfully reached a major milestone: making its open source software libraries publicly available as of September 30, 2017. Read More »
2017 Techwomen Foster Collaborations at Berkeley Lab and Around the Globe
Berkeley Lab's Daniela Ushizima, Romy Chakraborty, and Jackie Scoggins are collaborating with two Techwomen—Patu Ndango from Cameroon and Rim Abid from Tunisia — on quality control methods for constrained environments. Read More »
Scientists Decode the Origin of Universe’s Heavy Elements in the Light from a Neutron Star Merger
Scientists have obtained the first measurement of the merger of two neutron stars and its explosive aftermath. Computer simulations were critical for understanding the event, which could provide valuable insights into the origin of universe’s heavy elements. Read More »
ESnet’s Science DMZ Design Could Help Transfer, Protect Medical Research Data
As medicine becomes more data-intensive, a Medical Science DMZ design proposed by Berkeley Lab's Sean Peisert and Eli Dart could provide a secure solution for medical science data transfers. Read More »
International Team Reconstructs Nanoscale Virus Features from Correlations of Scattered X-rays
As part of an international research team, Jeff Donatelli, Peter Zwart and Kanupriya Pande of the Center for Advanced Mathematics for Energy Research Applications (CAMERA) at Berkeley Lab contributed key algorithms which helped achieve a goal first proposed more than 40 years ago – using angular correlations of X-ray snapshots from non-crystalline molecules to determine the 3D structure of important biological objects. Read More »
Assessing Regional Earthquake Risk and Hazards in the Age of Exascale
Researchers from Berkeley Lab, Lawrence Livermore Lab and UC Davis are building the first-ever end-to-end simulation code to precisely capture the geology and physics of regional earthquakes, and how the shaking impacts buildings. Read More »
How Berkeley Lab Software Led to the 2017 Nobel Prize in Physics
Back in 2004, two years before LIGO began operating at design sensitivity and 13 years before the project received the 2017 Nobel Prize in Physics, programming tools developed at Berkeley Lab were used to set up an efficient system to distribute the data that would put the predictions of Einstein’s General Theory of Relativity to the test. Read More »
Berkeley Lab-led ECP Co-Design Center Achieves Orders of Magnitude Speed-Up in Latest Software Release
Just one year after the U.S. Department of Energy's (DOE) Exascale Computing Program began funding projects to prepare scientific applications for exascale supercomputers, the Block-Structured Adaptive Mesh Refinement Co-Design Center has released a new version of its software that solves a benchmark problem hundreds of times faster than the original baseline. Read More »
Quantum Computation to Tackle Fundamental Science Problems
Two Berkeley Lab teams will receive DOE funding to develop near-term quantum computing platforms and tools to be used for scientific discovery in the chemical sciences. One team will develop novel algorithms, compiling techniques and scheduling tools, while the other team will design prototype four- and eight-qubit processors to compute these new algorithms. Read More »
A TOAST for Next Generation CMB Experiments
Researchers in Berkeley Lab's C3 recently achieved a critical milestone in preparation for upcoming CMB experiments: scaling their data simulation and reduction framework TOAST to run on all 658,784 Intel Knights Landing Xeon Phi processor cores on the NERSC’s Cori. The team also implemented a new TOAST module to simulate the noise introduced when ground-based telescopes look at the CMB through the atmosphere. Read More »
CRD Researchers to Present 18 Posters at ASCR Applied Math PI Meeting
Researchers from Berkeley Lab will present 18 posters at the Sept. 11-12 2017 ASCR Applied Mathematics Principal Investigators Meeting. Read More »
CRD Post-doc Wins IBM Research Prize
Mauro Del Ben, a post-doc in CRD’s Computational Chemistry, Materials and Climate Group has been awarded the IBM Research Forschungspreis for his Ph.D. thesis on “Efficient Non-Local Dynamical Electron Correlation for Condensed Matter Simulations.” Read More »
Students, Faculty Head Back to School, but a Few Staying On at CRD
Their posters rolled up after a lively Aug. 3 presentation session, nearly all of the students and guest faculty working in the Berkeley Lab Computing Sciences area are now back home, starting the new school year. But Rafael Zamora and Tom Corcoran from Hood College had their stays extended as they apply deep learning to classify specific protein structures that could lead to more effective drugs for fighting cancer. Read More »
CRD’s Internship Impact: From Berkeley Lab Cubicles to Television
Last month, CRD’s Daniela Ushizima was an invited guest on the Brazilian television program “Questao de Ordem” where she talked about her work on the analysis of microscopic images. Read More »
Targeting Better Cancer Drugs through Berkeley Lab Partnership
Sally Ellingson and Derek Jones of the University of Kentucky, Lexington, spent the summer working in CRD to use machine learning to enhance a model for predicting how drugs will bind to specific proteins. Read More »
Berkeley’s Lin Lin Receives 2017 DOE Early Career Award
Lin Lin, a faculty scientist in Berkeley Lab’s Computational Research Division and an assistant professor in UC Berkeley’s Mathematics Department, has received a 2017 Early Career Research Program award from the Department of Energy’s Office of Science. Read More »
CRD’s Pazner Wins First-Place in AIAA Aviation Forum’s Student Paper Competition
Will Pazner, a graduate student researcher in CRD’s Mathematics Group won first place in the computational fluid dynamics category of a student paper competition hosted by the 2017 American Institute of Aeronautics and Astronautics (AIAA) Aviation Forum. Read More »
“Hindcasting” Study Investigates the Extreme 2013 Colorado Flood
Using a publicly available Weather Research and Forecasting regional model, Berkeley Lab researchers “hindcast” the conditions that led to the Sept. 9-16, 2013 flooding around Boulder, Colo. and found that climate change attributed to human activity made the storm much more severe than would otherwise have occurred. Read More »
New Data Archive Aims to Amplify Impact of Ecosystem Research
Berkeley Lab’s Computing Sciences and Earth & Environmental Sciences Area are partnering on a three-year project to develop an archive that will serve as a repository for hundreds of DOE-funded research projects under the agency’s Environmental System Science umbrella. Read More »
New Berkeley Lab Algorithms Extract Biological Structure from Limited Data
A new Berkeley Lab algorithmic framework called multi-tiered iterative phasing (M-TIP) utilizes advanced mathematical techniques to determine 3D molecular structure of important nanoobjects like proteins and viruses from very sparse sets of noisy, single-particle data. Read More »
Will Brain-Inspired Chips Make a Dent in Science’s Big Data Problems?
Although neuromorphic computing is still in its infancy, researchers in Berkeley Lab's CRD hope that these tiny, low-power, brain-inspired computing systems could one day help alleviate some of science’s big data challenges. Read More »
Erich Strohmaier Named ISC 2017 Conference Fellow
The ISC High Performance conference (ISC 2017) named Berkeley Lab’s Eric Strohmaier an ISC Fellow. Strohmaier is known internationally for his role as a founding editor of the twice-yearly TOP500 list of the world’s top supercomputers. Read More »
Record-breaking 45-qubit Quantum Computing Simulation Run at NERSC
Researchers from ETH Zurich in Switzerland used the Cori supercomputer at NERSC to simulate a 45-qubit circuit, the largest simulation of a quantum computer ever achieved. They also used CRD's Roofline Model to improve code performance. Read More »
A Fresh Math Perspective Opens New Possibilities for Computational Chemistry
A new mathematical “shortcut” developed by Berkeley Lab researchers is speeding up molecular absorption calculations by a factor of five, so simulations that used to take 10 to 15 hours to compute can now be done in approximately 2.5 hours. These algorithms will be incorporated in an upcoming release of the widely used NWChem computational chemistry software suite later this year. Read More »
Roofline Model Boosts Code Optimization on Manycore Systems
A software toolkit developed in Berkeley Lab's Computational Research Division to better understand supercomputer performance is now being used to boost application performance for researchers running codes on manycore supercomputers at NERSC and other supercomputing facilities. Read More »
C3 Graduate Student Researcher Wins 2017 Berkeley Trumpler Award
Danny Goldstein, a Berkeley Lab Graduate Student Researcher in CRD’s Computational Cosmology Center, has been awarded the Berkeley Trumpler Award for his academic excellence, as well as his outstanding record of involvement in the UC Berkeley Astronomy Department and wider astronomical community. Read More »
Recognition Software Drives Matches across Multiple Science Domains
A team led by Daniela Ushizima of the Computational Research Division has built a Python-based tool for content-based image retrieval (CBIR) capable of searching relevant items from large datasets, given unseen samples. Named “pyCBIR,” the tool can be used to catalog and retrieve images from different science domains, such as biology, materials research and geology. Read More »
CRD’s Scott Beamer Wins SPEC Kaivalya Dixit Distinguished Dissertation Award
Scott Beamer, a post-doc in the Computational Research Division’s Computer Architecture Group, is to receive the 2016 SPEC Kaivalya Dixit Distinguished Dissertation Award at the 8th ACM/SPEC International Conference on Performance Engineering being held April 22-27 in L’Aquila, Italy. Read More »
Rare Supernova Discovery Ushers in New Era for Cosmology
Using an automated supernova-hunting pipeline based at NERSC, astronomers have captured multiple images of a gravitationally lensed Type Ia supernova. This detection is currently the only one of its kind, but astronomers believe that if they can find more, they may be able to measure the rate of the universe’s expansion within four percent accuracy. Fortunately, two Berkeley Lab researchers have a method for identifying more of these events using existing wide-field surveys. Read More »
Former Summer Student Jessica Hatcher Wins Research Award
Berkeley Lab Computing Sciences-sponsored summer student Jessica Hatcher won a first place award for her research poster “Quantitative Structure Activity Relationships (QSAR) for Biological Effects of Synthetic Cathinones” at the 74th Joint Annual Meeting of The National Institute of Science/ Beta Kappa Chi. Hatcher was mentored by CRD's Bert de Jong last summer. Read More »
Berkeley Lab Researchers Make NWChem’s Planewave “Purr” on Intel’s Knights Landing Architectures
Berkeley Lab researchers have successfully added thread-level parallelism on top of MPI-level parallelism in the planewave density functional theory method within the popular software suite NWChem. An important step to ensuring that computational chemists are prepared to compute efficiently on next-generation exascale machines. Read More »
A “VAST” Step Forward in Cyber Security
CRD network researcher Vern Paxson and postdoc Matthias Vallentin are developing VAST, a system that will help forensic security analysts pinpoint how much of an organization’s computer network has been compromised, and where. Read More »
Berkeley’s Lin Lin Awarded 2017 SIAG/CSE Early Career Prize
Berkeley Lab’s Lin Lin has ben honored with a 2017 SIAM Activity Group on Computational Science and Engineering Early Career Prize. The honor is bestowed to one outstanding early career researcher that has made distinguished contributions to the field within seven years of receiving a Ph.D. Read More »
Machine Learning Method Accurately Predicts Metallic Defects
For the first time, researchers at Berkeley Lab have built and trained machine learning algorithms to predict defect behavior in certain intermetallic compounds with high accuracy. This method will accelerate research of new advanced alloys and lightweight new materials for applications spanning automotive to aerospace and much more. Read More »
Simulations Reveal the Invisible Chaos of Superluminous Supernovae
To better understand the physical conditions that create superluminious supernova, astrophysicists are running 2D simulations of these events using supercomputers at NERSC and CRD developed CASTRO code.
Read More »
