2026-09-19T06:31:10Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1119092022-01-13T07:54:01Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Frédo Durand.
Anderson, Luke (Luke James)
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2017-10-18T15:09:35Z
2017-10-18T15:09:35Z
2017
2017
http://hdl.handle.net/1721.1/111909
1005225641
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 95-96).
Implementing Monte Carlo integration requires significant domain expertise. While simple algorithms, such as unidirectional path tracing, are relatively forgiving, more complex algorithms, such as bidirectional path tracing or Metropolis methods, are notoriously difficult to implement correctly. We propose a domain specific language for Monte Carlo rendering that offers primitives and data structures for writing concise and correct-by-construction sampling code. The compiler then automatically generates the necessary code for evaluating PDFs and combining multiple samples. Our language focuses on ease of implementation for rapid exploration and research, at the cost of run time performance. We demonstrate the effectiveness of the language by implementing several challenging rendering algorithms, as well as a new algorithm, which would otherwise be prohibitively difficult to implement.
by Luke Anderson.
S.M.
96 pages
eng
Massachusetts Institute of Technology
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
An embedded domain specific sampling language for Monte Carlo rendering
Thesis
application/pdf
Publication
unknown
unknown
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