The Appentra Team works with research groups worldwide on computational science and engineering (CSE) projects and high performance computing (HPC) tools to achieve the goals of their R&D projects. Want to partner? Click here to learn more about the practical applications of Parallware technology in modern science and engineering.
Computational Electromagnetics (CEM) simulation programs change frequently in order to add new Surface Integral Equations (SIE) formulations to the implementation of a Method of Moments (MoM) code. This improves the precision of the integrals to tune for a specific CEM problem or to update the code to compute parameters such as currents – Radar Cross Section (RCS), near-field, etc. These frequent changes make assisted parallelization of the CEM simulation attractive to researchers and engineers.
Method of Moments (MoM)
“Novel Source-to-Source Compiler Approach for the Automatic Parallelization of Codes based on the Method of Moments”. In EuCap 2015, by Hipólito Gómez-Sousa(University of Vigo, Spain), Manuel Arenaz (University of Coruña & Appentra Solutions, Spain), Óscar Rubiños-López (University of Vigo, Spain), José Angel Martínez-Lorenzo (Northeastern University, USA).
“Comparison of Iteractive Solver Performance on Multiple Surface Integral Equation Formulations for Plasmonic Scatterers”. In APSRUSI 2014, by Hipólito Gómez-Sousa, Óscar Rubiños-López (University of Vigo, Spain), José Angel Martínez-Lorenzo (Northeastern University, USA).
Computational astrophysics is a discipline with well established areas such as magnetohydrodynamics, astrophysical radiative transfer, stellar and galactic dynamics, and astrophysical fluid dynamics.
The Montage community
“Optimizing Scientific Workflows in the Cloud: A Montage Example”. In UCC 2014, by Qingye Jiang, Young Choon Lee, Albert Y. Zomaya ( The University of Sydney, Australia), Manuel Arenaz (University of A Coruña, Spain), Luke M. Leslie ( University of Illinois at Urbana-Champaign, USA).
The Oil & Gas industry makes extensive use of computational sciences and engineering and high performance computing for seismic simulations and other applications areas.
“Democratization of HPC in the Oil & Gas Industry through Automatic Parallelization with Parallware” . In 2015 Rice Oil & Gas HPC Workshop, by Manuel Arenaz (University of A Coruña, Spain), J.M. Dominguez and A.J.C. Crespo (Ephyslab Enviromental Physics Laboratory of the University of Vigo, Spain).