31 JanEarth Science and Engineering Graduate SeminarInteractive GPU-Based Visualization for Geosciences
Interactive GPU-Based Visualization for Geosciences
  • By Prof. Markus Hadwiger
  • KAUST
  • Wednesday, January 31, 2018
  • 04:15 PM - 05:15 PM
  • Lecture Hall 1 (2322), Engineering and Science Hall (Building 9)
2018-01-31T16:152018-01-31T17:15Asia/RiyadhInteractive GPU-Based Visualization for GeosciencesLecture Hall 1 (2322), Engineering and Science Hall (Building 9)Karema S. Alaseef

​Abstract: This talk will give an overview of interactive scientific visualization using GPUs (graphics processing units), touching on several areas but particularly highlighting applications to geosciences. We will discuss some of the research that we are doing in the High-Performance Visualization research group at the KAUST Visual Computing Center (VCC). In many fields of science, the amount of data is increasing rapidly toward the petascale and further, which presents a tremendous challenge to interactive visualization and analysis. However, interactive visualization is crucial to exploring, analyzing, and understanding large-scale data, for example large-scale reservoir simulations or seismic reflection data. Nowadays, an important enabler of interactivity is often the parallel processing power of GPUs. This, however, requires the design of customized data structures and algorithms that take into account the special characteristics of GPU architectures as well as the concrete problem, application, or visualization system design goal. Finding a good balance or trade-off between these aspects is crucial for achieving high performance. Therefore, besides applications, we will discuss technical issues, including data structures, memory management and interactive visualization using OpenGL and CUDA.

Bio: Markus Hadwiger is an Associate Professor in CEMSE/CS and the Visual Computing Center (VCC) at KAUST, which he joined in October 2009. He leads the High-Performance Visualization research group at VCC, where his research interests in the area of scientific visualization include extreme-scale visual computing and visualization, volume visualization, medical visualization, large-scale image and volume processing, multi-resolution techniques, data streaming and out-of-core processing, interactive segmentation, and GPU algorithms and architecture. He is a co-author of the book Real-Time Volume Graphics published in 2006 and has been involved in many courses and tutorials about volume rendering and visualization at ACM SIGGRAPH, ACM SIGGRAPH Asia, IEEE Visualization, and Eurographics. Prof. Hadwiger has co-authored more than 60 refereed articles.

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  • Karema S. Alaseef

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