activity
20192021
most citedShifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks

3 citations · 6 across the 4 of their papers we have counts for

collaborators

6 papers

math.NA20211 cited

Towards a Scalable Hierarchical High-order CFD Solver

Zan Xu, Léopold Cambier, Juan J. Alonso +1

Development of highly scalable and robust algorithms for large-scale CFD simulations has been identified as one of the key ingredients to achieve NASA's CFD Vision 2030 goals. In o…

cs.DC2020

TaskTorrent: a Lightweight Distributed Task-Based Runtime System in C++

Léopold Cambier, Yizhou Qian, Eric Darve

We present TaskTorrent, a lightweight distributed task-based runtime in C++. TaskTorrent uses a parametrized task graph to express the task DAG, and one-sided active messages to tr…

math.NA2020

The Index of Invariance and its Implications for a Parameterized Least Squares Problem

Léopold Cambier, Rahul Sarkar

We study the problem , with , for a subspace of ($\mathbb{F} = \…

math.NA20202 cited

Second Order Accurate Hierarchical Approximate Factorization of Sparse SPD Matrices

Bazyli Klockiewicz, Léopold Cambier, Ryan Humble +2

We describe a second-order accurate approach to sparsifying the off-diagonal blocks in the hierarchical approximate factorizations of sparse symmetric positive definite matrices. T…

cs.LG20203 cited

Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks

Léopold Cambier, Anahita Bhiwandiwalla, Ting Gong +3

Training with larger number of parameters while keeping fast iterations is an increasingly adopted strategy and trend for developing better performing Deep Neural Network (DNN) mod…

math.NA2019

An Algebraic Sparsified Nested Dissection Algorithm Using Low-Rank Approximations

Léopold Cambier, Chao Chen, Erik G Boman +3

We propose a new algorithm for the fast solution of large, sparse, symmetric positive-definite linear systems, spaND -- sparsified Nested Dissection. It is based on nested dissecti…