Introduction to Parallel Programming with CUDA
Completed by David Fang
December 15, 2024
21 hours (approximately)
David Fang's account is verified. Coursera certifies their successful completion of Introduction to Parallel Programming with CUDA
What you will learn
Students will learn how to utilize the CUDA framework to write C/C++ software that runs on CPUs and Nvidia GPUs.
Students will transform sequential CPU algorithms and programs into CUDA kernels that execute 100s to 1000s of times simultaneously on GPU hardware.
Skills you will gain
- Category: Performance Tuning
- Category: Computer Hardware
- Category: Algorithms
- Category: Hardware Architecture
- Category: Computer Architecture
- Category: Memory Management
- Category: System Programming
- Category: Performance Testing
- Category: Program Development
