Tenth Workshop on the DOE Advanced Computational Software Collection

Tenth Workshop on the DOE Advanced Computational Software Collection
Leveraging the Development of Computational Science and Engineering
Software Through Sustainable High Performance Tools
Lawrence Berkeley National Laboratory (LBNL)
  August 18-21, 2009

http://acts.nersc.gov/events/Workshop2009

The Advanced CompuTational Software (ACTS) Collection comprises a set 
of non commercial tools mainly developed at the Department of Energy's

Modeling and Characterizing the Performance of Scientific Applications on High-End Computing Resources

Date: Tuesday, May 12, 2009
Time: 1:00pm - 2:00pm
Location: LBNL Bldg. 50A, Room 5132

Speaker:
Nick Wright
San Diego Supercomputer Center
University California, San Diego

Abstract:

In this talk we present some of our recent work on performance
modeling and characterization of scientific applications. We describe
issues related to building simple performance models, our efforts to
measure and understand performance variability, and our experiences
procuring future machines.

Software Engineer

Job Title:Software Engineer
Req Number:22883
       
Division:Computational Research Div
Department:Biological Data Mgmt Center
   
Summary
The Software Engineer will be responsible for the development of microbial genome and metagenome data analysis, exploration, and visualization tools for the Integrated Microbial Genomes (IMG) and Integrated Microbial Genomes with Microbiome Samples (IMG/M).

Specifically, you will:

Clustering Methods in Geometric Modeling and Scientific Visualization

Date: Wednesday, May 6, 2009
Time: 4:00pm - 5:00pm
Location: LBNL Bldg. 50F, Room 1647

Speaker:
Professor Hans Hagen
Department of Computer Science
University of Kaiserslautern, Germany

Abstract:

Clustering and classification of datasets is an important problem in
many application fields, most often to be solved in order to
determine specific regions of interest. In Geometric Modeling and
Scientific Visualization, clustering methods based on generalized