CUDA at Scale for the Enterprise
Completed by Tapas Behera
September 1, 2024
28 hours (approximately)
Tapas Behera'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: C++ (Programming Language)
- Category: Performance Tuning
- Category: Distributed Computing
- Category: Digital Signal Processing
- Category: Event-Driven Programming
- Category: Algorithms
- Category: Program Development
- Category: Image Analysis
- Category: Dataflow
- Category: Memory Management
- Category: Scalability
