CUDA at Scale for the Enterprise
Completed by Erwin Meza Vega
May 20, 2025
28 hours (approximately)
Erwin Meza Vega's account is verified. Coursera certifies their successful completion of CUDA at Scale for the Enterprise
What you will learn
Students will learn to develop software that can be run in computational environments that include multiple CPUs and GPUs.
Students will develop software that uses CUDA to create interactive GPU computational processing kernels for handling asynchronous data.
Students will use CUDA, hardware memory capabilities, and algorithms/libraries to solve programming challenges including image processing.
Skills you will gain
- Category: Program Development
- Category: Memory Management
- Category: Image Analysis
- Category: Performance Tuning
- Category: Event-Driven Programming
- Category: C++ (Programming Language)
- Category: Digital Signal Processing
- Category: Dataflow
- Category: Algorithms
- Category: Scalability
- Category: Distributed Computing
