InTheLoop | 03.26.2012
March 26, 2012
NSF, ESnet to Help Universities Improve Their Networks
The National Science Foundation (NSF) has just released a new funding solicitation to help universities upgrade their networks to support the massive growth in science data expected over the next decade. The solicitation points to a strategy developed by The Energy Sciences Network (ESnet) called the “Science DMZ” in which a portion of a campus network is tailored for large science data transfers. ESnet, managed at Berkeley Lab, connects 40+ DOE sites, and to Internet2, which links US universities. Connections between these networks are critical since most science data that originates at DOE facilities must be shared with university researchers at their home institutions. The Science DMZ helps scientists to more reliably and more rapidly share data with their collaborators anywhere in the world. Read more.
Kathy Yelick to Discuss Magellan, Networking at ASCAC Meeting
DOE’s Advanced Scientific Computing Advisory Committee (ASCAC) is meeting Tuesday and Wednesday of this week, March 27–28, in Washington, DC. Invited speakers include Associate Lab Director Kathy Yelick, who will present “Final Report from Magellan and Update on Advanced Networking.” See the meeting agenda.
Memorial Service Held for CRD’s Vijaya (Viji) Natarajan
A memorial service was held last week for Vijaya (Viji) Natarajan, a member of CRD’s Scientific Data Management Research Group, who died unexpectedly. Group lead Arie Shoshani called her a productive, reliable, and knowledgeable colleague. She had worked at the Lab for 14 years, and in her position contributed to new and complex technology products for Grid computing.
“She was always helpful and responsive to programmatic needs and could be counted on for excellent software products,” Shoshani said.”She was an integral member of the team, and we will surely miss her.”
Viji is survived by her husband, Sridar, and her 9-year-old daughter, Harini.
Sudden death is always a shock, and the Laboratory has resources available to help. Confidential counseling for Berkeley Lab staff is available through CARE Services (643-7754), the Lab's employee assistance program. CARE counselors, licensed mental health professionals who help with a variety of personal and emotional issues, are available at the Tang Center on Bancroft Avenue, University Health Services. If interested in onsite counseling, please contact Marcia Ocon Leimer (x2727) or call CARE Services directly.
Kennedy High School Students Get a Lesson in Achieving Rewarding Careers
Berkeley Lab staffers Jon Bashor, Rachel Carl, Jeff Todd, Margie Wylie, and Linda Vu gave a presentation on finding rewarding jobs to a group of junior and senior classmen at Kennedy High School in Richmond on Wednesday, Mar. 21. The session drew 80 students from the school’s IT Academy. Among the topics covered were where to look for jobs, who to call on for help, dressing for success, likely interview questions, and a “circle of support” exercise to identify people, organizations, and other support resources. Read more.
This Week’s Computing Sciences Seminars
Software Carpentry Boot Camp
Wednesday, March 28, 9:00 am–5:00 pm, OSF 238
Morning topic: The Bash shell. Afternoon topic: Introduction to Python
Software Carpentry Boot Camp
Thursday, March 29, 9:00 am–5:00 pm, OSF 238
Morning topic: Version control with Subversion. Afternoon topic: Relational databases.
The Parallel Full Approximation Scheme in Space and Time (PFASST) Algorithm
Friday, March 30, 10:00–11:00 am, 50F-1647
Matthew Emmett, University of North Carolina, Chapel Hill
To efficiently parallelize PDEs in time, the PFASST algorithm decomposes the time domain into several time slices. After a provisional solution is obtained using a relatively inexpensive time integration scheme, the solution is iteratively improved using a deferred correction scheme. To further improve parallel efficiency, the PFASST algorithm uses a hierarchy of discretizations at different spatial and temporal resolutions and employs an analog of the multi-grid full approximation scheme to transfer information between the discretizations. Results for various PDEs, including the Kuramoto-Sivashinsky equation and the third Navier-Stokes equation, will be presented. Finally, incorporating PFASST into the CCSE’s VARDEN code will be discussed, and preliminary results will be presented.
About Computing Sciences at Berkeley Lab
The Lawrence Berkeley National Laboratory (Berkeley Lab) Computing Sciences organization provides the computing and networking resources and expertise critical to advancing the Department of Energy's research missions: developing new energy sources, improving energy efficiency, developing new materials and increasing our understanding of ourselves, our world and our universe.
ESnet, the Energy Sciences Network, provides the high-bandwidth, reliable connections that link scientists at 40 DOE research sites to each other and to experimental facilities and supercomputing centers around the country. The National Energy Research Scientific Computing Center (NERSC) powers the discoveries of 6,000 scientists at national laboratories and universities, including those at Berkeley Lab's Computational Research Division (CRD). CRD conducts research and development in mathematical modeling and simulation, algorithm design, data storage, management and analysis, computer system architecture and high-performance software implementation. NERSC and ESnet are DOE Office of Science User Facilities.
Lawrence Berkeley National Laboratory addresses the world's most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab's scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the DOE’s Office of Science.
DOE’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit science.energy.gov.