Siemens Digital Industries Software

Scientific Computing
& High-Performance
GPU Development

I build production electromagnetic solvers used by engineers worldwide. 15+ years turning complex physics into fast, reliable software — from GPU-accelerated algorithms to commercial simulation tools shipping in products like Simcenter Feko.

15+
Years in Industry
30+
Publications
Elia A. Attardo, Ph.D.
01

About

I build the algorithms that make electromagnetic simulations fast enough to be useful. My work sits at the intersection of applied mathematics, physics, and high-performance computing.

Currently at Siemens Digital Industries Software, I develop GPU-accelerated electromagnetic solvers for Simcenter Feko — combining deep expertise in computational electromagnetics with modern AI-augmented development practices. Previously, I spent over a decade at Altair Engineering contributing to Feko's solver technology.

My research background spans biomedical microwave imaging at Dartmouth College and Polytechnic University of Turin, where I developed real-time imaging algorithms accelerated on multi-GPU systems for clinical applications including breast cancer detection and surgical guidance.

✉ Email ◉ LinkedIn ⌂ GitHub
02

Areas of Expertise

⚡

High-Performance Computing

GPU acceleration with CUDA, multi-GPU systems, parallel algorithms, and deep performance optimization for scientific workloads.

CUDAOpenCLMPIOpenMPNVIDIA Nsight
∇

Scientific Computing

Finite Element Methods, computational electromagnetics, inverse problems, and numerical linear algebra for large-scale simulations.

FEMBEMFDTDMoMSpectral Methods
⊞

Algorithm Development

Sparse and dense matrix solvers, preconditioners, domain decomposition methods, and iterative solver technology.

Intel MKLcuBLAScuSPARSEPETScLAPACK
λ

Mathematical Modeling

PDEs, integral equations, optimization methods, inverse scattering, and medical imaging reconstruction algorithms.

HelmholtzLaplaceMaxwellTikhonov
</>

Software Engineering

Production-grade C++ and CUDA for commercial simulation software, with modern development practices and CI/CD pipelines.

C++CUDA C/C++PythonFortranCMake
🧠

AI / Deep Learning

LLM-assisted development, investigating AI/ML applications in computational electromagnetics workflows and solver acceleration.

NVIDIA DLNeural NetsLLM-augmented dev
03

Experience

January 2026 — Present
Software Engineer — Advanced
Siemens Digital Industries Software, Germany

Developing high-performance electromagnetic simulation algorithms for Simcenter Feko within the Siemens Xcelerator ecosystem. GPU-accelerated solvers, numerical methods development (MoM, FEM, FDTD), and AI/ML integration into CEM workflows.

CUDA C++ Modernization LLM-Assisted Dev
July 2014 — December 2025
Senior Developer — Electromagnetic Solutions
Altair Engineering GmbH, Germany

Developed high-performance algorithms for Altair Feko, a leading computational electromagnetic software used globally for antenna design, EMC analysis, and RCS computation.

20× GPU ray tracing speedup 15× preconditioner acceleration 10× time-domain speedup DG for Integral Equations Metamaterial modeling
July 2013 — June 2014
Postdoctoral Research Fellow
Polytechnic University of Turin, Italy

GPU-accelerated algorithms for computational EM in biomedical and industrial contexts. Implemented fast solvers integrated into the MICENEA project for real-time medical imaging.

January 2011 — June 2014
Researcher
Istituto Superiore Mario Boella, Turin, Italy

Design and simulation of RF devices and antennas in complex media. Lead computational researcher on the RADIODRY industrial project.

January 2011 — December 2013
Early Member — Computational Scientist
NE Scientific LLC, Boston, MA, USA

Developed GPU-accelerated sparse linear solver for medical imaging. Achieved 8× speedup vs. Intel PARDISO MKL on sequential core for real-time image reconstruction.

8× vs PARDISO
January 2011 — August 2011
Research Assistant — HPC
Thayer School of Engineering, Dartmouth College, NH, USA

Developed HPC algorithms for multi-modal image guidance system (NIH Grant). Achieved 20× acceleration using multi-GPU systems for real-time prostate biopsy guidance.

20× multi-GPU acceleration NIH Grant
04

Selected Publications

Full list: 30+ peer-reviewed publications — View complete list ↗

05

Education

Ph.D.
Electronics & Communications Engineering
Polytechnic University of Turin, Italy

Computational Methods for Microwave Imaging — Biomedical Applications
GPU-accelerated algorithms, inverse scattering, HPC

2008 — 2011
M.Sc.
Biomedical Engineering
Polytechnic University of Turin, Italy

Microwave Tomography for Breast Cancer Detection
Computational modeling, signal processing

2005 — 2007
B.Sc.
Software Engineering
University of Palermo, Italy

Noise Reduction in Magnetic Resonance Imaging
Algorithm development, image processing

2001 — 2004
06

Technical Skills

⚡ GPU & Parallel Computing

CUDAC++ OpenCLMPIOpenMP Multi-threadingNVIDIA Nsight Intel VTuneHPC ClustersPBS

∇ Numerical Methods

FEMBEM FDTDMoMSpectral Methods Iterative SolversPreconditioningSparse/Dense Solvers

📚 Libraries & Frameworks

Intel MKLcuBLAS cuSPARSEcuSolvercuDSS LAPACKPETSc

</> Languages & Tools

C++CUDA C/C++ PythonFortranMATLAB MathematicaGitCMakeCI/CD
07

Certifications

🧠 Deep Learning / AI

⛓ Blockchain & Web3

Let's Connect

✉  eattardo@gmail.com LinkedIn Download CV ↓