49. Summary of Scaling on Olivia скачать в хорошем качестве

49. Summary of Scaling on Olivia

In this video, we will use the MKL routine for matrix multiplication with OpenMP for parallel computing, utilizing the Intel Fortran compiler loaded through the Cray module system. Additionally, we will conduct a scaling analysis of the Fortran program using MKL with OpenMP on the Olivia Linux cluster. This involves measuring computation times with varying numbers of threads, starting from a single thread and scaling up to 256 threads. Scaling analysis in parallel computing is a method used to evaluate and understand how efficiently a parallel system performs as the number of processing units increases. It helps determine whether adding more computational resources improves performance and by how much. Scaling analysis is crucial for optimizing parallel systems and ensuring that resources are used effectively. If anything was unclear or you think something should have been explained in more detail, please let us know in the video comments. We appreciate your feedback and it will help us improve this video.