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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers the GPU memory hierarchy, including global, local, shared memory, and caches, and discusses the challenges of SIMT execution. It delves into optimizing algorithms for GPUs by coalescing accesses, reducing bank conflicts, and eliminating warp divergence. The lecture also emphasizes the importance of understanding the algorithm's nature to optimize memory-intensive code efficiently.