You will get HPC Fortran Code Parallelization

Carlos R.Status: Offline
Carlos R.

Let a pro handle the details

Buy Other Development & IT services from Carlos, priced and ready to go.
Carlos R.Status: Offline
Carlos R.

Let a pro handle the details

Buy Other Development & IT services from Carlos, priced and ready to go.

Project details

You can expect highly optimized HPC Fortran code parallelization, supported by a strong foundation in physics and mathematics, ensuring both performance and precision for your scientific simulations.
Project Type
Data Analysis, Development
What's included
Service Tiers Starter
$3,000
Standard
$6,000
Advanced
$9,000
Delivery Time 10 days 20 days 30 days
Number of Revisions
123
Carlos R.Status: Offline

About Carlos

Carlos R.Status: Offline
HPC Software Developer with Physics Background
Barcelona, Spain - 11:22 pm local time
In addition to my technical skills, I enjoy working in teams and deeply value communication skills.
I have worked in a variety of international research environments, where I have had the opportunity to collaborate with other scientists and present my findings to both technical and non-technical audiences.
I am comfortable in several languages, including Spanish, English, French, and intermediate German, and I have a strong ability to adapt to new environments and cultures.
I am motivated by research, and I believe my skills and experience make me an excellent candidate for multidisciplinary assignments.

Steps for completing your project

After purchasing the project, send requirements so Carlos can start the project.

Delivery time starts when Carlos receives requirements from you.

Carlos works on your project following the steps below.

Revisions may occur after the delivery date.

Code Assessment

A thorough review of your existing codebase to identify bugs, inefficiencies, and areas for improvement. You'll receive actionable feedback, best practice suggestions, and insights into code structure, performance, and maintainability.

Code Parallelization

Optimization of your code to run in parallel, reducing execution time and boosting performance—especially useful for data-heavy or compute-intensive applications. This includes identifying bottlenecks and implementing hybrid MPI+OMP strategies.

Review the work, release payment, and leave feedback to Carlos.