most citedFixed-Point Code Synthesis For Neural Networks

4 citations · 7 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CL20223 cited

An Efficient Summation Algorithm for the Accuracy, Convergence and Reproducibility of Parallel Numerical Methods

Farah Benmouhoub, Pierre-Loïc Garoche, Matthieu Martel

Nowadays, parallel computing is ubiquitous in several application fields, both in engineering and science. The computations rely on the floating-point arithmetic specified by the I…

cs.SE2022

Constrained Precision Tuning

Dorra Ben Khalifa, Matthieu Martel

Precision tuning or customized precision number representations is emerging, in these recent years, as one of the most promising techniques that has a positive impact on the footpr…

cs.DS2022

Compressed Matrix Computations

Matthieu Martel

Frugal computing is becoming an important topic for environmental reasons. In this context, several techniques have been proposed to reduce the storage of scientific data by dedica…

cs.SE20224 cited

Fixed-Point Code Synthesis For Neural Networks

Hanane Benmaghnia, Matthieu Martel, Yassamine Seladji

Over the last few years, neural networks have started penetrating safety critical systems to take decisions in robots, rockets, autonomous driving car, etc. A problem is that these…

cs.SE2021

A Study of the Floating-Point Tuning Behaviour on the N-body Problem

Dorra Ben Khalifa, Matthieu Martel

In this article, we apply a new methodology for precision tuning to the N-body problem. Our technique, implemented in a tool named POP, makes it possible to optimize the numerical…

cs.PL2021

Fast and Efficient Bit-Level Precision Tuning

Assalé Adjé, Dorra Ben Khalifa, Matthieu Martel

In this article, we introduce a new technique for precision tuning. This problem consists of finding the least data types for numerical values such that the result of the computati…