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

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GPU Computing and Deep Learning Homework and Project

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 found here.

HW2

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

Source code of CUDA and C++, OpenGL

HW3

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

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

Source code of OpenGL: naive algorithm

Project

The first part is to change the mesh segmentation network structure to get higher performance. The final version of the network can be found here.

The second part is to do subdivision of the mesh. I reference ozkanyumsak's in my work.

Report can be found here (Only Chinese version).

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

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