Sven Widmer
Sven Widmer
Vahvistettu sähköpostiosoite verkkotunnuksessa gris.tu-darmstadt.de
Nimike
Viittaukset
Viittaukset
Vuosi
Visual‐interactive Exploration of Interesting Multivariate Relations in Mixed Research Data Sets
J Bernard, M Steiger, S Widmer, H Lücke‐Tieke, T May, J Kohlhammer
Computer Graphics Forum 33 (3), 291-300, 2014
372014
Fast dynamic memory allocator for massively parallel architectures
S Widmer, D Wodniok, N Weber, M Goesele
Proceedings of the 6th workshop on general purpose processor using graphics …, 2013
282013
An adaptive acceleration structure for screen-space ray tracing
S Widmer, D Pająk, A Schulz, K Pulli, J Kautz, M Goesele, D Luebke
Proceedings of the 7th Conference on High-Performance Graphics, 67-76, 2015
242015
Is Your Permutation Algorithm Unbiased for n ≠ 2m?
M Waechter, K Hamacher, F Hoffgaard, S Widmer, M Goesele
International Conference on Parallel Processing and Applied Mathematics, 297-306, 2011
102011
Analysis of Cache Behavior and Performance of Different BVH Memory Layouts for Tracing Incoherent Rays.
D Wodniok, A Schulz, S Widmer, M Goesele
EGPGV@ Eurographics, 57-64, 2013
92013
Using graphics processing units to investigate molecular coevolution
M Waechter, K Jaeger, D Thuerck, S Weissgraeber, S Widmer, M Goesele, ...
Concurrency and Computation: Practice and Experience 26 (6), 1278-1296, 2014
72014
Efficient heuristic adaptive quadrature on gpus: Design and evaluation
D Thuerck, S Widmer, A Kuijper, M Goesele
International Conference on Parallel Processing and Applied Mathematics, 652-662, 2013
72013
Information-theoretic analysis of molecular (co) evolution using graphics processing units
M Waechter, K Jaeger, S Weissgraeber, S Widmer, M Goesele, ...
Proceedings of the 3rd international workshop on Emerging computational …, 2012
62012
A fast, massively parallel solver for large, irregular pairwise Markov random fields.
D Thuerck, M Waechter, S Widmer, M von Bülow, P Seemann, ME Pfetsch, ...
High Performance Graphics, 173-183, 2016
42016
Extended Data Collection: Analysis of cache behavior and performance of different BVH memory layouts for tracing incoherent rays
A Schulz, D Wodniok, S Widmer, M Goesele
Tech. rep. 13rp003-GRIS. Fraunhofer IGD, TU Darmstadt, 2013
32013
Decoupled space and time sampling of motion and defocus blur for unified rendering of transparent and opaque objects
S Widmer, D Wodniok, D Thul, S Guthe, M Goesele
Computer Graphics Forum 35 (7), 441-450, 2016
22016
Random Permutation on a GPU–Is Your Algorithm Unbiased for n≠ 2 m?
M Waechter, K Hamacher, F Hoffgaard, S Widmer, M Goesele
Journal of the ACM, 2011-2011, 0
1
Foundations and Methods for GPU based Image Synthesis
S Widmer
Technische Universität, 2018
2018
Supplemental Material for “A Fast, Massively Parallel Solver for Large, Irregular Pairwise Markov Random Fields”
D Thuerck, M Waechter, S Widmer, M von Buelow, P Seemann, ...
In cooperation with
S Widmer, D Wodniok, A Schulz, M Goesele, C Brownlee, T Ize, ...
Fast Dynamic Memory Allocator for Massively Parallel Architectures
D Wodniok, S Widmer, N Weber, M Goesele
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Artikkelit 1–16