From saunders at stanford.edu Mon Jul 11 13:25:00 2011 From: saunders at stanford.edu (Michael Saunders) Date: Mon Jul 11 13:26:56 2011 Subject: [BANANA] Special Linear Algebra/Optimization seminar (Andreas Schmidt) Message-ID: Dear LA/Opt colleagues, Andreas Schmidt has been visiting us at ICME during the past weeks. He will give an overview of his work and the activities at IWR, Heidelberg. 4:15pm Wed July 13, 2011 Y2E2 101 http://campus-map.stanford.edu/index.cfm?ID=04-070 Methods for Parameter Estimation and Experimental Design with PDE Constraints Andreas Schmidt, IWR, University of Heidelberg, Germany The probably well known task of Parameter Estimation is closely related to the maybe not so well known Experimental Design problem. In the talk we will briefly clarify this relation and point out the challenges that arise with PDE constraints. The most important keywords arising would be direct approach, sensitivity analysis, automatic differentiation, and model reduction. From egng at lbl.gov Thu Jul 28 14:04:32 2011 From: egng at lbl.gov (Esmond G. Ng) Date: Thu Jul 28 14:06:56 2011 Subject: [BANANA] Berkeley Lab - Computing Sciences Seminar - Tuesday, 8/2/2011, 11:00am Message-ID: Berkeley Lab - Computing Sciences Seminar Date: Tuesday, August 2, 2011 Time: 11:00am - 12:00pm Location: Bldg. 50B, Room 4205 Speaker: Markus Hadwiger King Abdullah University of Science and Technology (KAUST) Title: Display-Aware, Demand-Driven Volume Visualization of Terascale Electron Microscopy Data Abstract: Recent advances in high-resolution data acquisition such as electron microscopy (EM) result in volume data of extremely large size. In neuroscience, EM volumes of brain tissue have pixel resolutions of 3-5nm and slice distances of 25-50nm, which even for sub-millimeter tissue blocks result in hundreds of gigabytes to terabytes of raw data. The capability to interactively explore these volumes in 3D is crucial for analysis, for example to trace neural connections in the field of Connectomics. However, this poses significant challenges that require the development of novel, scalable systems for visualization and interactive analysis. This talk will give an overview of the research that we are doing in this area, with the goal of processing and visualizing data only on demand, driven by actual on-screen visibility. Additional Notes: Dr. Markus Hadwiger is Assistant Professor of Computer Science in the Division of Mathematical and Computer Sciences and Engineering at KAUST. He assumed his duties in October 2009. Prior to his appointment at KAUST, Dr. Hadwiger was a Senior Researcher at the VRVis Research Center for Virtual Reality and Visualization in Vienna, Austria. During this time, he conducted extensive basic and applied research in scientific visualization, especially volume visualization and medical visualization, as well as research on GPU-based algorithms. Dr. Hadwiger's research interests are in scientific visualization, especially petascale visualization and scientific computing, volume visualization, medical visualization, interactive segmentation and image processing, GPU-based algorithms, and general-purpose computations on GPUs. Host of Seminar: Gunther H. Weber -------------- next part -------------- An HTML attachment was scrubbed... URL: http://csmr.ca.sandia.gov/pipermail/banana/attachments/20110728/ade62b7b/attachment.html