Publications in 2021
HiPEAC '21 / TACO 2020-83
On the anatomy of predictive models for accelerating GPU Convolution Kernels and beyond
Paolo Sylos Labini, Marco Cianfriglia, Damiano Perri, Osvaldo Gervasi, Grigori Fursin, Anton Lokhmotov, Cedric Nugteren, Bruno Carpentieri, Fabiana Zollo, and Flavio Vella
Publications in 2020
arXiv:2006.13144
Calibrated Adversarial Refinement for Multimodal Semantic Segmentation
Elias Kassapis, Georgi Dikov, Deepak K. Gupta, Cedric Nugteren
Publications in 2018
ECCV '18 workshop
EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection
Mohsen Ghafoorian, Cedric Nugteren, Nora Baka, Olaf Booij, Michael Hofmann
arXiv:1806.07060
A model-driven approach for a new generation of adaptive libraries
Marco Cianfriglia, Flavio Vella, Cedric Nugteren, Anton Lokhmotov, Grigori Fursin
Publications in 2017
Publications in 2015
US Patent 20,150,160,970
Configuring Thread Scheduling on a Multi-Threaded Data Processing Apparatus
C. Nugteren, A. Lokhmotov
ACM TACO 11, 4, Article 35
Bones: An Automatic Skeleton-Based C-to-CUDA Compiler for GPUs
C. Nugteren, H. Corporaal
Publications in 2014
MuCoCoS '14
A Study of the Potential of Locality-Aware Thread Scheduling for GPUs
C. Nugteren, G.J. van den Braak, H. Corporaal
PhD thesis
Improving the Programmability of GPU Architectures
C. Nugteren
Thesis committee members:
H. Corporaal (Eindhoven University of Technology)
H.E. Bal (Vrije Universiteit Amsterdam)
P.H.J. Kelly (Imperial College London)
A. Cohen (Ecole Polytechnique)
A.L. Varbanescu (Universiteit van Amsterdam)
G. de Haan (Eindhoven University of Technology)
J.J. Lukkien (Eindhoven University of Technology)
Improving the Programmability of GPU Architectures
C. Nugteren
Thesis committee members:
H. Corporaal (Eindhoven University of Technology)
H.E. Bal (Vrije Universiteit Amsterdam)
P.H.J. Kelly (Imperial College London)
A. Cohen (Ecole Polytechnique)
A.L. Varbanescu (Universiteit van Amsterdam)
G. de Haan (Eindhoven University of Technology)
J.J. Lukkien (Eindhoven University of Technology)
PDF
and
propositions
HPCA '14
A Detailed GPU Cache Model Based on Reuse Distance Theory
C. Nugteren, G.J. van den Braak, H. Corporaal, H. Bal
Publications in 2013
APPT '13
Automatic Skeleton-Based Compilation through Integration with an Algorithm Classification
C. Nugteren, P. Custers, H. Corporaal
MuCoCoS '13
Algorithmic Species Revisited: A Program Code Classification Based on Array References
C. Nugteren, R. Corvino, H. Corporaal
DATE '13
Future of GPGPU Micro-Architectural Parameters
C. Nugteren, G.J. van den Braak, H. Corporaal
ACM TACO 9, 4, Article 40
Algorithmic Species: An Algorithm Classification of Affine Loop Nests for Parallel Programming
C. Nugteren, P. Custers, H. Corporaal
Publications in 2012
Euro-Par '12
GPU-Vote: A Framework for Accelerating Voting Algorithms on GPU
G.J. van den Braak, C. Nugteren, B. Mesman, H. Corporaal
CF '12
The Boat Hull Model: Enabling Performance Prediction for Parallel Computing Prior to Code Development
C. Nugteren, H. Corporaal
GPGPU-5
Introducing 'Bones': A Parallelizing Source-to-Source Compiler Based on Algorithmic Skeletons
C. Nugteren, H. Corporaal
PPoPP '12
The Boat Hull Model: Adapting the Roofline Model to Enable Performance Prediction for Parallel Computing
C. Nugteren, H. Corporaal
Publications in 2011
Technical Report ESR-2011-02
A Modular and Parameterisable Classification of Algorithms
C. Nugteren, H. Corporaal
ACIVS '11
Fast Hough Transform on GPUs: Exploration of Algorithm Trade-Offs
G.J. van den Braak, C. Nugteren, B. Mesman, H. Corporaal
SAMOS XI
Skeleton-based Automatic Parallelization of Image Processing Algorithms for GPUs
C. Nugteren, H. Corporaal, B. Mesman
GPGPU-4
High Performance Predictable Histogramming on GPUs: Exploring and Evaluating Algorithm Trade-offs
C. Nugteren, G.J. van den Braak, H. Corporaal, B. Mesman
Publications in 2010
ODES-8
Analyzing CUDA's Compiler through the Visualization of Decoded GPU Binaries
C. Nugteren, B. Mesman, H. Corporaal