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David Defour
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Books and Theses
- 2014
- [b2]David Defour:
Contribution au calcul sur GPU: considérations arithmétiques et architecturales. University of Perpignan, France, 2014 - 2003
- [b1]David Defour:
Fonctions élémentaires : algorithmes et implémentations efficaces pour l'arrondi correct en double précision. (Elementary functions : algorithms and efficient implementation for correct rounding for the double precision). École normale supérieure de Lyon, France, 2003
Journal Articles
- 2021
- [j13]Emeric Brun, David Defour
, Pablo de Oliveira Castro
, Matei Istoan
, Davide Mancusi
, Eric Petit, Alan Vaquet:
A Study of the Effects and Benefits of Custom-Precision Mathematical Libraries for HPC Codes. IEEE Trans. Emerg. Top. Comput. 9(3): 1467-1478 (2021) - 2019
- [j12]Roman Iakymchuk
, Stef Graillat, David Defour, Enrique S. Quintana-Ortí:
Hierarchical approach for deriving a reproducible unblocked LU factorization. Int. J. High Perform. Comput. Appl. 33(5) (2019) - 2017
- [j11]Hugues de Lassus Saint-Genies
, David Defour, Guillaume Revy:
Exact Lookup Tables for the Evaluation of Trigonometric and Hyperbolic Functions. IEEE Trans. Computers 66(12): 2058-2071 (2017) - [j10]Manuel Marin, David Defour, Federico Milano:
An Efficient Representation Format for Fuzzy Intervals Based on Symmetric Membership Functions. ACM Trans. Math. Softw. 43(3): 23:1-23:22 (2017) - 2016
- [j9]David Defour, Eric Petit
:
A software scheduling solution to avoid corrupted units on GPUs. J. Parallel Distributed Comput. 90-91: 1-8 (2016) - 2015
- [j8]Caroline Collange, David Defour, Stef Graillat, Roman Iakymchuk
:
Numerical reproducibility for the parallel reduction on multi- and many-core architectures. Parallel Comput. 49: 83-97 (2015) - 2014
- [j7]Michael François, David Defour, Christophe Nègre:
A Fast Chaos-Based Pseudo-Random Bit Generator Using Binary64 Floating-Point Arithmetic. Informatica (Slovenia) 38(2) (2014) - 2008
- [j6]Caroline Collange, Marc Daumas
, David Defour:
Line-by-line spectroscopic simulations on graphics processing units. Comput. Phys. Commun. 178(2): 135-143 (2008) - [j5]Caroline Collange, Marc Daumas, David Defour:
État de l'intégration de la virgule flottante dans les processeurs graphiques. Tech. Sci. Informatiques 27(6): 719-733 (2008) - 2006
- [j4]Bernard Goossens, David Defour:
Ordonnancement distribué d'instructions. Tech. Sci. Informatiques 25(7): 827-844 (2006) - 2005
- [j3]Bernard Goossens, David Defour:
The instruction register file micro-architecture. Future Gener. Comput. Syst. 21(4): 767-773 (2005) - [j2]Nicolas Brisebarre, David Defour, Peter Kornerup, Jean-Michel Muller
, Nathalie Revol:
A New Range-Reduction Algorithm. IEEE Trans. Computers 54(3): 331-339 (2005) - 2004
- [j1]David Defour, Guillaume Hanrot, Vincent Lefèvre, Jean-Michel Muller
, Nathalie Revol, Paul Zimmermann:
Proposal for a Standardization of Mathematical Function Implementation in Floating-Point Arithmetic. Numer. Algorithms 37(1-4): 367-375 (2004)
Conference and Workshop Papers
- 2023
- [c25]David Defour, Franck Védrine:
Chromatic Analysis of Numerical Programs. ARITH 2023: 97-100 - 2022
- [c24]David Defour:
Using scheduling entropy amplification in CUDA/OpenMP code to exhibit non-reproducibility issues. MCSoC 2022: 200-207 - 2021
- [c23]David Defour, Pablo de Oliveira Castro, Matei Istoan, Eric Petit:
Shadow computation with BFloat16 to estimate the numerical accuracy of summations. ARITH 2021: 33-36 - [c22]Emeric Brun, David Defour, Pablo de Oliveira Castro, Matei Istoan, Davide Mancusi, Eric Petit, Alan Vaquet:
A Study of the Effects and Benefits of Custom-Precision Mathematical Libraries for HPC Codes. ARITH 2021: 62 - 2020
- [c21]David Defour, Pablo de Oliveira Castro
, Matei Istoan, Eric Petit:
Custom-Precision Mathematical Library Explorations for Code Profiling and Optimization. ARITH 2020: 121-124 - 2019
- [c20]Yohan Chatelain
, Eric Petit, Pablo de Oliveira Castro
, Ghislain Lartigue, David Defour:
Automatic Exploration of Reduced Floating-Point Representations in Iterative Methods. Euro-Par 2019: 481-494 - 2018
- [c19]Yohan Chatelain
, Pablo de Oliveira Castro
, Eric Petit, David Defour, Jordan Bieder, Marc Torrent
:
VeriTracer: Context-enriched tracer for floating-point arithmetic analysis. ARITH 2018: 61-68 - [c18]David Defour:
FP-ANR: A representation format to handle floating-point cancellation at run-time. ARITH 2018: 76-83 - 2017
- [c17]Manuel Marin, David Defour, Federico Milano:
Asynchronous Power Flow on Graphic Processing Units. PDP 2017: 255-261 - 2015
- [c16]Hugues de Lassus Saint-Genies, David Defour, Guillaume Revy:
Range reduction based on Pythagorean triples for trigonometric function evaluation. ASAP 2015: 74-81 - [c15]David Defour, Caroline Collange:
Reproducible floating-point atomic addition in data-parallel environment. FedCSIS 2015: 721-728 - [c14]Roman Iakymchuk
, David Defour, Caroline Collange, Stef Graillat:
Reproducible Triangular Solvers for High-Performance Computing. ITNG 2015: 353-358 - [c13]David Defour:
Measuring Predictability of Nvidia's GPU Schedulers: Application to the Summation Problem. MCSoC 2015: 17-24 - 2014
- [c12]David Defour, Manuel Marin:
FuzzyGPU: A Fuzzy Arithmetic Library for GPU. PDP 2014: 624-631 - [c11]Roman Iakymchuk
, David Defour, Caroline Collange, Stef Graillat:
Reproducible and Accurate Matrix Multiplication. SCAN 2014: 126-137 - [c10]Michael François, David Defour, Pascal Berthomé:
A Pseudo-Random Bit Generator Based on Three Chaotic Logistic Maps and IEEE 754-2008 Floating-Point Arithmetic. TAMC 2014: 229-247 - 2013
- [c9]David Defour, Manuel Marin:
Regularity Versus Load-Balancing on GPU for Treefix Computations. ICCS 2013: 309-318 - [c8]David Defour, Eric Petit:
GPUburn: A system to test and mitigate GPU hardware failures. ICSAMOS 2013: 263-270 - 2010
- [c7]Mark G. Arnold, Caroline Collange, David Defour:
Implementing LNS using filtering units of GPUs. ICASSP 2010: 1542-1545 - [c6]Caroline Collange, Marc Daumas
, David Defour, David Parello:
Barra: A Parallel Functional Simulator for GPGPU. MASCOTS 2010: 351-360 - 2009
- [c5]Caroline Collange, David Defour, Yao Zhang:
Dynamic Detection of Uniform and Affine Vectors in GPGPU Computations. Euro-Par Workshops 2009: 46-55 - [c4]Caroline Collange, Yoginder S. Dandass, Marc Daumas
, David Defour:
Using Graphics Processors for Parallelizing Hash-Based Data Carving. HICSS 2009: 1-10 - [c3]Caroline Collange, David Defour, Arnaud Tisserand:
Power Consumption of GPUs from a Software Perspective. ICCS (1) 2009: 914-923 - 2007
- [c2]Caroline Collange, Marc Daumas, David Defour:
Graphic processors to speed-up simulations for the design of high performance solar receptors. ASAP 2007: 377-382 - 2003
- [c1]David Defour, Florent de Dinechin:
Software Carry-Save: A Case Study for Instruction-Level Parallelism. PaCT 2003: 207-214
Informal and Other Publications
- 2020
- [i5]David Defour, Pablo de Oliveira Castro, Matei Istoan, Eric Petit:
Custom-Precision Mathematical Library Explorations for Code Profiling and Optimization. CoRR abs/2005.02732 (2020) - 2009
- [i4]Caroline Collange, Yoginder S. Dandass, Marc Daumas, David Defour:
Using Graphics Processors for Parallelizing Hash-based Data Carving. CoRR abs/0901.1307 (2009) - 2007
- [i3]Caroline Collange, Marc Daumas, David Defour:
Graphic processors to speed-up simulations for the design of high performance solar receptors. CoRR abs/cs/0703028 (2007) - 2006
- [i2]Guillaume Da Graça, David Defour:
Implementation of float-float operators on graphics hardware. CoRR abs/cs/0603115 (2006) - [i1]Marc Daumas, Guillaume Da Graça, David Defour:
Caractéristiques arithmétiques des processeurs graphiques. CoRR abs/cs/0605081 (2006)
Coauthor Index
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