output
20172026
most citedPrimal-Dual Algorithms with Predictions for Online Bounded Allocation and Ad-Auctions Problems

2 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.DCShow all

6 papers · 1 filter

cs.DC2026

Nix to the Rescue for a Reproducible HPC-AI Software Stack

Wenke Du, Jean-Marc Gratien, Raphael Gayno +1

Reproducibility in HPC remains difficult under the constraints of production supercomputers: no root access, limited internet, and software stacks that increasingly span C/C++, For…

cs.DC2025

Analysis of the carbon footprint of HPC

Abdessalam Benhari, Yves Denneulin, Frédéric Desprez +2

The demand in computing power has never stopped growing over the years. Today, the performance of the most powerful systems exceeds the exascale. Unfortunately, this growth also co…

cs.DC2025

Bridding OT and PaaS in Edge-to-Cloud Continuum

Carlos J Barrios, Yves Denneulin

The Operational Technology Platform as a Service (OTPaaS) initiative provides a structured framework for the efficient management and storage of data. It ensures excellent response…

cs.DC2024★ 1 cited

Performance Debugging through Microarchitectural Sensitivity and Causality Analysis

Alban Dutilleul, Hugo Pompougnac, Nicolas Derumigny +4

Modern Out-of-Order (OoO) CPUs are complex systems with many components interleaved in non-trivial ways. Pinpointing performance bottlenecks and understanding the underlying causes…

cs.DC2023

A Framework for Large Scale Particle Filters Validated with Data Assimilation for Weather Simulation

Sebastian Friedemann, Kai Keller, Yen-Sen Lu +2

Particle filters are a group of algorithms to solve inverse problems through statistical Bayesian methods when the model does not comply with the linear and Gaussian hypothesis. Pa…

cs.DC2022

Understanding the Energy Consumption of HPC Scale Artificial Intelligence

Danilo Carastan dos Santos

This paper contributes towards better understanding the energy consumption trade-offs of HPC scale Artificial Intelligence (AI), and more specifically Deep Learning (DL) algorithms…