Building HPC software with CUDA

Coding Chats episode 26 - John Crickett talks to Dennis Kennetz about:the world of High Performance Computing (HPC), exploring its definition, differences from traditional development, and the significance of batch scheduling. They discuss the role of CUDA and GPUs in enhancing computational efficiency, the challenges of data movement, and the importance of correctness in software development. The conversation also highlights the balance between developer time and compute time, emphasizing the need for effective resource management in HPC applications. Finally, they provide insights into resources for learning more about HPC and CUDA programming.Dennis's Links:LinkedIn - https://www.linkedin.com/in/dennis-kennetz/Newsletter - https://substack.com/@dkennetzGithub with CUDA Examples - https://github.com/drkennetz/cuda_examplesJohn's Links:John's LinkedIn: https://www.linkedin.com/in/johncrickett/John’s YouTube: https://www.youtube.com/@johncrickettJohn's Twitter: https://x.com/johncrickettJohn's Bluesky: https://bsky.app/profile/johncrickett.bsky.socialCheck out John's software engineering related newsletters: Coding Challenges: https://codingchallenges.substack.com/ which shares real-world project ideas that you can use to level up your coding skills.Developing Skills: https://read.developingskills.fyi/ covering everything from system design to soft skills, helping them progress their career from junior to staff+ or for those that want onto a management track.