Publications

Our publications provide insight into some of our leading-edge research.

Filters

Filters

Publication Year

Research Areas

Events

No Results Available

2017

Parallel Complexity of Forward and Backward Propagation
Maxim Naumov
Integral Equations and Machine Learning
Alex Keller, Ken Dahm
AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks
Aditya Devarakonda, Maxim Naumov, Michael Garland
Near-eye Light Field Holographic Rendering with Spherical Waves for Wide Field of View Interactive 3D Computer Graphics
Liang Shi, Fu-Chung Huang, Ward Lopes, Wojciech Matusik, David Luebke
Low Communication FMM-Accelerated FFT on GPUs
Cris Cecka
Parallel Jaccard and Related Graph Clustering Techniques
Alexandre Fender, Nahid Emad, Serge Petiton, Joe Eaton, Maxim Naumov
Spatiotemporal Variance-Guided Filtering: Real-Time Reconstruction for Path-Traced Global Illumination
Christoph Schied, Anton Kaplanyan, Chris Wyman, Anjul Patney, Chakravarty R. Alla Chaitanya, John Burgess, Shiqiu Liu, Carsten Dachsbacher, Aaron Lefohn, Marco Salvi
Exploiting Budan-Fourier and Vincent’s Theorems for Ray Tracing 3D Bézier Curves
Alexander Reshetov
Generating stratified random lines in a square
Peter Shirley, Chris Wyman
Parallel Modularity Clustering
Alexandre Fender, Nahid Emad, Serge Petiton, Maxim Naumov
The Iray Light Transport Simulation and Rendering System
Alex Keller, Carsten Wächter, Matthias Raab, Daniel Seibert, Dietger van Antwerpen, Johann Korndörfer, Lutz Kettner
Learning Light Transport the Reinforced Way
Ken Dahm, Alex Keller

2009

Implementing Sparse Matrix-Vector Multiplication on Throughput-Oriented Processors
Nathan Bell, Michael Garland
Solving Computational Problems with GPU Computing
Jonathan Cohen, Michael Garland
Designing Efficient Sorting Algorithms for Manycore GPUs
Nadathur Satish, Mark Harris, Michael Garland
Fast BVH Construction on GPUs
Christian Lauterbach, Michael Garland, Shubhabrata Sengupta, David Luebke, Dinesh Manocha