Publications

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

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2022

Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training
Charbel Sakr, Steve Dai, Rangharajan Venkatesan, Brian Zimmer, Brucek Khailany, William Dally
Ray/Ribbon Intersections
Alexander Reshetov
Adaptive Neural Network-based OFDM Receivers
Moritz Benedikt Fischer, Sebastian Dörner, Sebastian Cammerer, Takayuki Shimizu, Hongsheng Lu, Stephan ten Brink
Onesweep: A Faster Least Significant Digit Radix Sort for GPUs
Andrey Adinets, Duane Merrill
MatBuilder: Mastering Sampling Uniformity Over Projections
Loïs Paulin, Nicolas Bonneel, David Coeurjolly, Jean-Claude Iehl, Alex Keller, Victor Ostromoukhov
Artificial Neural Networks generated by Low Discrepancy Sequences
Matthijs Van keirsbilck, Alex Keller
Sionna: An Open-Source Library for Next-Generation Physical Layer Research
Jakob Hoydis, Sebastian Cammerer, Fayçal Aït Aoudia , Avinash Vem, Nikolaus Binder, Guillermo Marcus, Alex Keller
Generic Lithography Modeling with Dual-band Optics-Inspired Neural Networks
Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Mark Kilgard, Anima Anandkumar, Brucek Khailany, Vivek Singh, Mark Haoxing Ren

2021

Path Guiding Using Spatio-Directional Mixture Models
Ana Dodik, Marios Papas, Cengiz Öztireli, Thomas Müller
Graph Learning-Based Arithmetic Block Identification
Zhuolun He, Ziyi Wang, Chen Bai, Haoyu Yang, Bei Yu
Compressing 1D Time-Channel Separable Convolutions using Sparse Random Ternary Matrices
Goncalo Mordido, Matthijs Van keirsbilck, Alex Keller
Alternative Paths Planner (APP) for Provably Fixed-time Manipulation Planning in Semi-structured Environments
Fahad Islam, Chris Paxton, Clemens Eppner, Bryan Peele, Maxim Likhachev, Dieter Fox

2020

Understanding SSIM
Jim Nilsson, Tomas Akenine-Möller
DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement
Yibo Lin, Zixuan Jiang, Jiaqi Gu, Wuxi Li, Shounak Dhar, Mark Haoxing Ren, Brucek Khailany, David Z. Pan
2021 IEEE Transactions on Computer-Aided Design Donald O. Pederson Best Paper Award
Monte Carlo Gradient Quantization
Goncalo Mordido, Matthijs Van keirsbilck, Alex Keller
ABCDPlace: Accelerated Batch-based Concurrent Detailed Placement on Multi-threaded CPUs and GPUs
Yibo Lin, Wuxi Li, Jiaqi Gu, Mark Haoxing Ren, Brucek Khailany, David Z. Pan

2019

Instant Quantization of neural networks using Monte Carlo Methods
Gonçalo Mordido, Matthijs Van keirsbilck, Alex Keller
DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement
Yibo Lin, Shounak Dhar, Wuxi Li, Mark Haoxing Ren, Brucek Khailany, David Z. Pan
DAC 2019 Best Paper Award
Dynamic Diffuse Global Illumination with Ray-Traced Irradiance Fields
Zander Majercik, Jean-Philippe Guertin, Derek Nowrouzezahrai, Morgan McGuire
Cool Patches: A Geometric Approach to Ray/Bilinear Patch Intersections
Alexander Reshetov
Rethinking full connectivity in recurrent neural networks
Matthijs Van keirsbilck, Alex Keller, Xiaodong Yang
A Fast and Robust Method for Avoiding Self-Intersection
Carsten Wächter, Nikolaus Binder
Massively Parallel Path Space Filtering
Nikolaus Binder, Sascha Fricke, Alex Keller
Massively Parallel Construction of Radix Tree Forests for the Efficient Sampling of Discrete Probability Distributions
Nikolaus Binder, Alex Keller

2018

Fast, High Precision Ray/Fiber Intersection using Tight, Disjoint Bounding Volumes
Nikolaus Binder, Alex Keller
Massively Parallel Stackless Ray Tracing of Catmull-Clark Subdivision Surfaces
Nikolaus Binder, Alex Keller
Machine Learning and Rendering
Alex Keller, Jaroslav Křivánek, Jan Novák, Anton Kaplanyan, Marco Salvi
Phantom Ray-Hair Intersector
Alexander Reshetov, David Luebke

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