- Program Development
- Algorithms
- C and C++
- Performance Testing
- Performance Tuning
- Computer Architecture
- OS Process Management
- Debugging
- Data Structures
- Hardware Architecture
- Distributed Computing
Introduction to Parallel Programming with CUDA
Completed by Varun Subramanian
November 28, 2024
21 hours (approximately)
Varun Subramanian'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
