CUDA Course
4.7/5
This CUDA Course teaches GPU acceleration, from CPU baselines to optimized 2D stencil kernels, covering programming models, memory optimization, and performance tuning for high-performance computing.

4.7 in the evaluation
from 4 to 360h 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 optimized 2D stencil kernels. Learn the CUDA programming model, warps, occupancy, and synchronization, then design efficient kernels with shared memory tiling, halo handling, and tuned block sizes. You will profile, benchmark, validate correctness, and apply architecture-aware optimizations for real, high-performance workloads.
Elevify advantages
Develop skills
- Design high-performance CUDA kernels: map 2D grids to blocks and threads fast.
- Optimize 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 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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