Leopold Cambier

Leopold Cambier received his Ph.D. in computational and mathematical engineering from Stanford University in 2021. During his Ph.D., he focused on fast solvers for very large sparse linear systems, from both a theoretical and parallel-computing perspective. He also interned at NVIDIA on the cuDNN team in 2016 and 2017. Since he joined full-time in January 2021, Leopold has been working on the cuFFT team, on cuFFT and cuFFTMp.

Posts by Leopold Cambier

Technical Walkthrough 5

Multinode Multi-GPU: Using NVIDIA cuFFTMp FFTs at Scale

cuFFTMp is a multi-node, multi-process extension to cuFFT that enables scientists and engineers to solve challenging problems on exascale platforms. 9 MIN READ