Optimizing Vector Instruction Selection for Digital Signal Processing
Digital signal processing applications benefit from fast implementations of vectorized inner kernels. Existing compilers rely on brittle pattern-matching or search-based methods with poor scalability for vector instruction selection – techniques which are limited by a reliance on the syntax of the i...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Published: |
Massachusetts Institute of Technology
2022
|
| Online Access: | https://hdl.handle.net/1721.1/144935 |