Changes between Version 2 and Version 3 of students

Timestamp:

Jun 10, 2013, 10:13:04 AM (12 years ago)

Author:

csa

Comment:

--

students

@@ -1 +1 @@
 [[PageOutline(1-2)]]
 
-= Bachelor topics & Student projects = 
- * Mathemathics & algorithm development in MATLAB/Octave
+[http://www.ipe.kit.edu/english/index.php Institute for Data Processing and Electronics] proposes a wide selection of topics for Master and Bachelor students. You may select from [#HighlightedMastertopics highlighted topics] with defined research program or find a custom research project among our [#OverviewofavailableBachelorandMastertopics current activities]. You will find samples of such projects [#SampleTopicsforBachelor/Masterstudents below].
+In case of questions contact Suren A. Chilingaryan csa@dside.dyndns.org.
+
+= Overview of available Bachelor and Master topics = 
+ * Mathematics & algorithm development in MATLAB/Octave
  * GPU-based image processing with CUDA/OpenCL
  * Code optimization, parallel programming, and cluster computations
@@ -9 +12 @@
  * Visualization of multidimensional time series
  * Linux Device Drivers and High-speed Data Acquisition
- * Control applictions using LabVIEW or Tango environments
+ * Control applications using LabVIEW or Tango environments
  * Digital Electronics & FPGA programming
  * Analog electronics and laboratory instrumentation
- * User Intefaces & Usability
+ * User Interfaces & Usability
 
-= Master topics =
+= Highlighted Master topics =
 == Web-based monitoring of large-scale data in scientific experiments ==
  * Contact person: Suren A. Chilingaryan csa@dside.dyndns.org
@@ -31 +34 @@
 Parallel computing has become increasingly important in the last several years. The standard servers include nowadays up to 64 computing cores. Modern GPUs are able to execute thousands of floating point operations in parallel and have become a valuable tool in multiple scientific field that require high computational throughput. It becomes more and more important to parallelize existing image processing algorithms and tune the implementations to the recent hardware architectures. It is crucial to take into the consideration the details of hardware architectures. The computational units may employ different types of cache hierarchies to accelerate memory access, the new processors often introduce new sets of instructions accelerating specific operations.
 The student will select an algorithm from one of the ongoing projects and perform optimization and tuning for the used hardware. Available options include differential phase contrast imaging done in cooperation with ANKA synchrotron, digital image correlation and tracking done in collaboration with University of Pennsylvania, X-Ray CT done in collaboration with Helmholtz Center in Dresden-Rosendorf. 
+
+= Sample Topics for !Bachelor/Master students  =
+== Web Technologies ==
+ * Web Interface for Visualization and Management of Meteorological Data
+ * Real Time Visualization of Time Series Data with HTML5
+ * Gestures-based control interface for data management on mobile multi-touch devices
+ 
+== Parallel Computing ==
+ * Regularization methods for iterative tomographic reconstruction at synchrotron light sources
+ * Motion compensation for 4D tomography at synchrotron light sources
+ * Acceleration of 3D Image Correlation and Tracking Algorithm with GPUs
+
+== High-speed Data Acquisition ==
+ * User-space PCIe drivers for Linux using [http://lwn.net/Articles/474088/ VFIO]
+ * Real-time handling of images from high-throughput streaming camera with GPUDirect and Infiniband-based clusters