CRD Staff Showcase SENSEI at SC18
November 7, 2018CRD 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.
CRD Staff Host Emerging Women Leaders
Researchers Ijeoma Ezika of Nigeria and Edith Mugehu of Zimbabwe spent two weeks studying biotechnology and data analytics at Berkeley Lab. » Read More
Berkeley Lab to Build an Advanced Quantum Testbed
Berkeley Lab will receive $30 million over five years to build and operate an Advanced Quantum Testbed. 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
Pushing Frontiers of Quantum Information Science
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
CRD's Ushizima Speaks at the Biden Cancer Summit
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
News
CRD Researchers Part of Team Honored with Klaus Halbach Award
November 2, 2018CRD 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.
CRD Hosts Emerging Women Leaders
October 22, 2018Researchers 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.
HP-CONCORD Paves the Way for Scalable Machine Learning in HPC
October 1, 2018A 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.
