Silviu-Ioan Filip

According to our database, Silviu-Ioan Filip authored at least 19 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Probabilistic error analysis of limited-precision stochastic rounding.

El-Mehdi El Arar, Massimiliano Fasi, Silviu-Ioan Filip, Mantas Mikaitis

CoRR, 2024

A Stochastic Rounding-Enabled Low-Precision Floating-Point MAC for DNN Training.

Sami Ben Ali, Silviu-Ioan Filip, Olivier Sentieys

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

Efficient Neural Networks: from SW optimization to specialized HW accelerators.

Marcello Traiola, Angeliki Kritikakou, Silviu-Ioan Filip, Olivier Sentieys

Proceedings of the International Conference on Compilers, 2024

FPGA-based CNN Acceleration using Pattern-Aware Pruning.

Léo Pradels, Silviu-Ioan Filip, Olivier Sentieys, Daniel Chillet, Thibaut Le Calloch

Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

AdaQAT: Adaptive Bit-Width Quantization-Aware Training.

Cédric Gernigon, Silviu-Ioan Filip, Olivier Sentieys, Clément Coggiola, Mickael Bruno

Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023

Design of Optimal Multiplierless FIR Filters With Minimal Number of Adders.

Martin Kumm, Anastasia Volkova, Silviu-Ioan Filip

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2023

Low-Precision Floating-Point for Efficient On-Board Deep Neural Network Processing.

Cédric Gernigon, Silviu-Ioan Filip, Olivier Sentieys, Clément Coggiola, Mickael Bruno

CoRR, 2023

Towards Machine-Efficient Rational L^∞-Approximations of Mathematical Functions.

Nicolas Brisebarre, Silviu-Ioan Filip

Proceedings of the 30th IEEE Symposium on Computer Arithmetic, 2023

2022

Approximations in Deep Learning.

Etienne Dupuis, Silviu-Ioan Filip, Olivier Sentieys, David Novo, Ian O'Connor, Alberto Bosio

CoRR, 2022

Mixing Low-Precision Formats in Multiply-Accumulate Units for DNN Training.

Mariko Tatsumi, Silviu-Ioan Filip, Caroline White, Olivier Sentieys, Guy Lemieux

Proceedings of the International Conference on Field-Programmable Technology, 2022

2021

AdequateDL: Approximating Deep Learning Accelerators.

Olivier Sentieys, Silviu-Ioan Filip, David Briand, David Novo, Etienne Dupuis, Ian O'Connor, Alberto Bosio

Proceedings of the 24th International Symposium on Design and Diagnostics of Electronic Circuits & Systems, 2021

Towards Arithmetic-Centered Filter Design.

Florent de Dinechin, Silviu-Ioan Filip, Martin Kumm, Anastasia Volkova

Proceedings of the 28th IEEE Symposium on Computer Arithmetic, 2021

2019

Smooth Random Functions, Random ODEs, and Gaussian Processes.

Silviu-Ioan Filip, Aurya Javeed, Lloyd N. Trefethen

SIAM Rev., 2019

Table-Based versus Shift-And-Add Constant Multipliers for FPGAs.

Florent de Dinechin, Silviu-Ioan Filip, Martin Kumm, Luc Forget

Proceedings of the 26th IEEE Symposium on Computer Arithmetic, 2019

2018

A Lattice Basis Reduction Approach for the Design of Finite Wordlength FIR Filters.

Nicolas Brisebarre, Silviu-Ioan Filip, Guillaume Hanrot

IEEE Trans. Signal Process., 2018

Rational Minimax Approximation via Adaptive Barycentric Representations.

Silviu-Ioan Filip, Yuji Nakatsukasa, Lloyd N. Trefethen, Bernhard Beckermann

SIAM J. Sci. Comput., 2018

A High Throughput Polynomial and Rational Function Approximations Evaluator.

Nicolas Brisebarre, George A. Constantinides, Milos Ercezovac, Silviu-Ioan Filip, Matei Istoan, Jean-Michel Muller

Proceedings of the 25th IEEE Symposium on Computer Arithmetic, 2018

2016

Robust tools for weighted Chebyshev approximation and applications to digital filter design. (Outils robustes pour l'approximation de Chebyshev pondérée et applications à la synthèse de filtres numériques).

Silviu-Ioan Filip

PhD thesis, 2016

A Robust and Scalable Implementation of the Parks-McClellan Algorithm for Designing FIR Filters.

Silviu-Ioan Filip

ACM Trans. Math. Softw., 2016