InTheLoop | 11.28.2011
November 28, 2011
Registration Now Open for Cal's 2nd Python Boot Camp
Registration is now open for the 2nd Python Boot Camp to be held Jan. 13–15 on the UC Berkeley Campus. The camp will run from 8:30 a.m. to 5 p.m. each day and is open to anyone within the UC Berkeley community. The purpose of the boot camp is to educate those familiar with other computing languages (like C, Java, FORTRAN and Lisp) on the basics of the Python language. The Boot Camp itself is a mixture of formal lectures, in-class demos, coding breakout sessions for participants and homework projects. Registration is required–go to http://register.pythonbootcamp.info/home–and limited to about 130 participants.
This Week's Computing Sciences Seminar
Random Unstructured Meshes via Maximal Poisson-disk Sampling
Friday, December 2, 10:30 - 11:30 a.m., 50F-1647
Mohamed Ebeida,Sandia National Laboratories
Ebeida will describe several new approaches to generating random point clouds for triangular (simplicial) meshes and dual Voronoi cell meshes in d-dimensional spaces using the Poisson-disk sampling process to produce provably-good tessellations with quality bounds similar to deterministic Delaunay refinement methods. In contrast to other meshing methods, this point cloud strictly adheres to a given distribution function selected based on the input geometry and physics. He will show how to use these sampling techniques to achieve better estimations of probability of failure for uncertainty quantification problems. Several application examples will be presented to demonstrate the efficiency of this method.
Link of the Week: Data Mining Reveals That Cooking Can Be Surprisingly Forgiving
From Science News: Researchers who mined and analyzed more than 40,000 recipes and nearly two million reviews from a popular cooking web site reveals that many recipes are more flexible than standard cookbooks suggest. The analysis, reported online November 16 at arXiv.org, identified several clusters of ingredients that can be swapped for one another, including olive oil and applesauce.
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 7,000-plus 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 Department of Energy 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.