Saeed Bohloul

Background

About Saeed Bohloul

Summary - PhD in computational materials physics, specializing in scientific computing, development of advanced simulation software, and high-performance computing on heterogeneous computing platforms - More than 7 years of experience in design and development of massively parallel software for computational materials and molecular science - Solid team player with strong communication, interpersonal, and organizational skills - Looking for opportunities to contribute to development of cutting-edge software technologies Computer skills - Programming languages: C, C++, Python, MATLAB, FORTRAN, Unix shell (bash)- HPC: MPI, OpenMP, BLAS, LAPACK, ScaLAPACK, ELPA, FFTW, HDF5 - GPU: CUDA, OpenCL, OpenACC - Performance engineering tools: Intel HPC Toolkit, NVIDIA Nsight, HPCToolkit, TAU, likwid - Build systems: Make, CMake, Meson - DevOps: Git, CI/CD, Automated testing, Documentation - Scientific Python ecosystem: Scipy, Numpy, Matplotlib, Pandas Scientific skills - Scientific computing: Solving Ordinary Differential Equations (ODEs) and Partial Differential Equations (PDEs), Numerical Integration, Numerical Optimization, Eigenvalue and Linear Systems Problems, Fourier Transform - Materials science: Density functional theory (DFT), Density functional perturbation theory (DFPT), Charge and Heat transport (NEGF, Boltzmann Transport Equation), Ab Initio Molecular Dynamics (AIMD)- Physics and mathematics: Quantum Mechanics, Statistics, Linear Algebra, Green’s functions, Differential geometry