15-745 Spring 2023
Class Projects

Here are the class projects for 2023:

Compiler Optimizations for Security and Robustness:

• Minimizing the impact of loop hardening on runtime performance , Luke Dramko and Cooper Pierce
• Compiler-based Transformations for Mitigating Timing Side Channel Vulnerabilities , Chanhee Cho and Henry Jung

Improving Instruction Scheduling:

• Efficient Instruction Scheduling and Placement for Fully Homomorphic Encryption , Edward Chen and Siddharth Jayashankar
• Instruction Scheduling and Token Allocations for Modular Time-Multiplexing on CGRAs , Mitchell Fream and Xuesi Chen
• SLP Vectorization in the Presence of Control Flow , Josh Clune and Thomas Talbot

Compiler Optimizations for Machine Learning:

• Compiling Neural Networks with Dynamic Resource Adaptation , Patrick Coppock and Yuttapichai (Guide) Kerdcharoen
• ML Computation Graph Operator Fission and Fusion , Ashwin Venkatram and Gabriele Oliaro
• Automatic Tensorization and Data Movement Planning for End to End Machine Learning Compilation , Bohan Hou and Hongyi Jin
• Optimizing the Lifetime and Location of Arrays to Reduce the Memory Usage of Neural Networks , Yonghao Zhuang and Zikun Li

Pointer Analysis:

• Shape Analysis , Kunming Jiang and Andrew Haberlandt

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