This live webinar gave an overview of NVIDIA's Nsight profiling tools. It explored how to analyze and optimize the performance of GPU-accelerated applications. Working with a real-world example, it started by identifying high-level bottlenecks, then walked through an analysis-driven process leading to a series of kernel-level optimizations.
The presentation slides are also available here.
About the Presenter
Mozhgan Kabiri Chimeh is a GPU developer advocate at NVIDIA, helping to bring GPU and HPC to the growing user community in EMEA and around the world. She is a community builder with a passion for open source software and is actively involved in the HPC and RSE communities. As a Software Sustainability Institute fellow, and Research Software Engineer (RSE) advocate, she is actively promoting reproducible and sustainable software, use of HPC and particularly GPUs through training, seminars, research software consultancy and outreach. Prior to joining NVIDIA, Mozhgan was a Research Software Engineer in Massive Scale Complex Systems Simulation with Accelerated Computing at the University of Sheffield, UK. She worked in the area of complex system modelling using emerging high-performance parallel architectures.
She is actively involved in outreach programs to encourage and empower minorities involvement at all levels within the HPC sector and is a long-standing Women in HPC volunteer, including leading WHPC’s workshop last year and this year at International Supercomputing conference. Mozhgan holds a Ph.D. in computer science and a master's degree in Information Technology from the University of Glasgow, UK.