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Port a Numerical Kernel from CPU to GPU for a CFD Simulator

FreeVerified credential4 weeksExpert

Overview

What this challenge is about.

Port a Numerical Kernel from CPU to GPU for a CFD Simulator. Expert-level challenge in code. Writing production code that solves real engineering problems, e...

CredentialBlockchain-anchored
ShareableLinkedIn-ready
LanguageEnglish
PaceSelf-paced

The Brief

What you'll do, and what you'll demonstrate.

Port a Navier-Stokes stencil kernel from CPU + OpenMP to CUDA on an A100, hit >=60 percent peak FP64 throughput, and validate per-cell numerical equivalence within 1e-8.

This is not a coding exercise. It is the work a software engineer does between a Jira ticket and a merged PR. That distinction matters to every hiring manager who has seen candidates solve LeetCode problems and none who have shipped production code under real constraints.

When you finish, you will have something most graduates do not: a real-world deliverable, verified by Ewance, that you can show to a hiring manager and say "I did this. Here is the proof."

Earning criteria — what you'll demonstrate

  • Port a stencil kernel to CUDA with shared-memory tiling
  • Tune occupancy + register usage without spills
  • Validate per-cell numerical equivalence rigorously
  • Read Nsight Compute output and act on it

Program Fit

Where this fits in your program.

Sharpens the same skills your degree expects you to demonstrate.

Aligned coursework coming soon.

One more thing

You can put a credential on your CV by Friday.