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SJTU CS473 course: GPU Computing and Deep Learning, 2021 Spring

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SJTU CS473 course, 2021 Spring

❗ ❗ ❗ Any forms of copying code is strictly prohibited.

Homework

HW1

The homework is about implementing RBFKernel in CUDA, and try to optimize it.

Source code and report can be foundhere.

HW2

The homework is about to draw a three-color-triangle.

Source code ofCUDA and C++,OpenGL

HW3

The homework is about to draw the Voronoi diagram and Delauny triangulation.

Source code ofCUDA: naive and jump flood algorithm; draw Delauny triangles.

Source code ofOpenGL: naive algorithm

Project

The first part is to change themesh segmentation network structure to get higher performance. The final version of the network can be foundhere.

The second part is to do subdivision of the mesh. I referenceozkanyumsak's inmy work.

Report can be foundhere (Only Chinese version).

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SJTU CS473 course: GPU Computing and Deep Learning, 2021 Spring

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