Space filling curves: Heuristics for semi classical lasing computations

Rohit Goswami, Amrita Goswami, Debabrata Goswami

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

For semi classical lasing, the FDTD (finite difference time domain) formulation including nonlinearities is often used. We determine the computational efficiency of such schemes quantitatively and present a hueristic based on space filling curves to minimize complexity. The sparse matrix kernel is shown to be optimized by the utilization of Bi-directional Incremental Compressed Row Storage (BICRS). Extensions to high performance clusters and parallelization are also derived.

Original languageEnglish
Title of host publication2019 URSI Asia-Pacific Radio Science Conference, AP-RASC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9789082598759
DOIs
Publication statusPublished - Mar 2019
Event2019 URSI Asia-Pacific Radio Science Conference, AP-RASC 2019 - New Delhi, India
Duration: 9 Mar 201915 Mar 2019

Publication series

Name2019 URSI Asia-Pacific Radio Science Conference, AP-RASC 2019

Conference

Conference2019 URSI Asia-Pacific Radio Science Conference, AP-RASC 2019
Country/TerritoryIndia
CityNew Delhi
Period9/03/1915/03/19

Bibliographical note

Publisher Copyright: © 2019 URSI. All rights reserved.

Fingerprint

Dive into the research topics of 'Space filling curves: Heuristics for semi classical lasing computations'. Together they form a unique fingerprint.

Cite this