Skip to content
View farhanma's full-sized avatar

Organizations

@ecrc

Block or report farhanma

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
farhanma/README.md

My career in computer science began with a bachelor's degree in the early 2010s, driven by a deep fascination with networked and distributed systems. This passion led me to specialize in high-performance computing (HPC), where I have dedicated over a decade to collaborating with computational scientists and applied mathematicians on solving intricate scientific challenges at scale. Under the mentorship of Professor David E. Keyes, I earned both my master's and PhD in computer science. Following my doctoral studies, I conducted postdoctoral research first at the University of Tennessee, Knoxville, under Professor Jack Dongarra, and later at KAUST with Professor David E. Keyes.

My industry journey began with roles as a software engineer at the Saudi Electricity Company and Saudi Aramco before pursuing advanced degrees. From 2019 to 2021, while working closely with Professor Jack Dongarra, I made significant contributions to the Exascale Computing Project of the United States Department of Energy, focusing specifically on Software for Linear Algebra Targeting Exascale (SLATE). Throughout 2022, I continued my role as a senior data engineer at KAPSARC, where I developed and maintained data pipeline architecture for energy, economy, and climate models.

Currently, I am a principal technologist at Hewlett Packard Enterprise (HPE), responsible for the deployment, installation, configuration, and support of supercomputing solutions designed for HPC and AI workloads.

Pinned Loading

  1. icl-utk-edu/slate icl-utk-edu/slate Public

    SLATE is a distributed, GPU-accelerated, dense linear algebra library targetting current and upcoming high-performance computing (HPC) systems. It is developed as part of the U.S. Department of Ene…

    C 89 21

  2. icl-utk-edu/blaspp icl-utk-edu/blaspp Public

    BLAS is a C wrapper around CPU and GPU BLAS (basic linear algebra subroutines), developed as part of the SLATE project.

    C 66 22

  3. icl-utk-edu/lapackpp icl-utk-edu/lapackpp Public

    LAPACK is a C wrapper around CPU and GPU LAPACK and LAPACK-like linear algebra libraries, developed as part of the SLATE project.

    C 50 14

  4. ecrc/bemfmm ecrc/bemfmm Public

    Extreme scale FMM-accelerated boundary integral equation solver for wave scattering.

    C 17 7

  5. ecrc/kfun3d ecrc/kfun3d Public

    Unstructured computations on emerging architectures.

    C 13 5

  6. ecrc/hcorepp ecrc/hcorepp Public

    C API for the BLAS of Tile Low-rank Matrix Algebra

    C 1