CUDA Course
This course provides hands-on training in CUDA programming for GPU acceleration, focusing on optimizing 2D stencil kernels through efficient memory management, kernel design, and performance tuning on NVIDIA architectures.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
Master GPU acceleration with this focused CUDA Course that takes you from CPU baselines to optimised 2D stencil kernels. Learn the CUDA programming model, warps, occupancy, and synchronisation, then design efficient kernels with shared memory tiling, halo handling, and tuned block sizes. You will profile, benchmark, validate correctness, and apply architecture-aware optimisations for real, high-performance workloads.
Elevify advantages
Develop skills
- Design high-performance CUDA kernels: map 2D grids to blocks and threads fast.
- Optimise GPU memory: shared tiling, coalesced access, and bank-conflict fixes.
- Tune for NVIDIA GPUs: profile kernels, boost occupancy, and cut bottlenecks.
- Implement robust 2D stencils: boundary handling, precision choice, and testing.
- Benchmark CPU vs GPU: measure speedups, GFLOPS, and memory bandwidth gains.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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