A framework for low communication approaches for large scale 3D convolution-Reference-Cited by-同舟云学术

A framework for low communication approaches for large scale 3D convolution

Published:2022-08-29 Issue: Volume: Page:
ISSN:
Container-title:Workshop Proceedings of the 51st International Conference on Parallel Processing
language:
Short-container-title:

Author:

Kulkarni Anuva¹,Kovacevic Jelena²,Franchetti Franz¹

Affiliation:

1. Carnegie Mellon University, United States of America

2. New York University, United States of America

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3547276.3548626

Reference35 articles.

1. heFFTe: Highly Efficient FFT for Exascale

2. Alan Ayala , Stanimire Tomov , Xi Luo , Hejer Shaiek , Azzam Haidar , George Bosilca , and Jack Dongarra . 2019 . Impacts of Multi-GPU MPI Collective Communications on Large FFT Computation. In 2019 IEEE/ACM Workshop on Exascale MPI (ExaMPI). 12–18 . Alan Ayala, Stanimire Tomov, Xi Luo, Hejer Shaiek, Azzam Haidar, George Bosilca, and Jack Dongarra. 2019. Impacts of Multi-GPU MPI Collective Communications on Large FFT Computation. In 2019 IEEE/ACM Workshop on Exascale MPI (ExaMPI). 12–18.

3. Alan Ayala , Stanimire Tomov , Miroslav Stoyanov , and Jack Dongarra . 2021. Scalability Issues in FFT Computation . In Parallel Computing Technologies, Victor Malyshkin (Ed.). Springer International Publishing , Cham , 279–287. Alan Ayala, Stanimire Tomov, Miroslav Stoyanov, and Jack Dongarra. 2021. Scalability Issues in FFT Computation. In Parallel Computing Technologies, Victor Malyshkin (Ed.). Springer International Publishing, Cham, 279–287.

4. Efficient algorithms for all-to-all communications in multiport message-passing systems

5. Numerical study of neoclassical plasma pedestal in a tokamak geometry