Introduction to Parallel Programming with CUDA
Completed by Samarpan Chakraborty
February 16, 2024
21 hours (approximately)
Samarpan Chakraborty'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: Computer Hardware
- Category: Memory Management
- Category: Computer Architecture
- Category: Performance Testing
- Category: Hardware Architecture
- Category: Performance Tuning
- Category: Algorithms
- Category: System Programming
- Category: Program Development
