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Scene graph-based construction of CUDA kernel pipelines for XIP
Linköping University, Center for Medical Image Science and Visualization (CMIV).
Linköping University, Center for Medical Image Science and Visualization (CMIV).
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV). Siemens Corporation. (Immersive Visualization)ORCID iD: 0000-0002-9288-5322
Linköping University, Center for Medical Image Science and Visualization (CMIV).
2008 (English)In: MICCAI 2008 Workshop on High-Performance ComputingArticle in journal (Refereed) Published
Abstract [en]

We propose a framework which allows an application developer to construct and execute pipelines of existing CUDA kernel programs without programming the somewhat complex kernel configuration and setup. The framework is a new addition to the eXtensible Imaging Platform (XIP) of the National Cancer Institute. Pipeline construction is carried out through graphical construction of scene graphs in the XIP Builder tool. Complex pipeline struc-tures as well as kernels of arbitrary structure and function are supported. The framework has been used to execute existing CUDA kernels from NVIDIA’s CUDA SDK as well as a more complex image segmentation algorithm.

Place, publisher, year, edition, pages
2008.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-119056OAI: oai:DiVA.org:liu-119056DiVA: diva2:820173
Available from: 2015-06-11 Created: 2015-06-08 Last updated: 2015-06-30

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