Accelerating Irregular Applications with Pipeline Parallelism
Irregular applications have frequent data-dependent memory accesses and control flow. They arise in many emerging and important domains, including sparse deep learning, graph analytics, and database processing. Conventional architectures cannot handle irregular applications efficiently because their...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Published: |
Massachusetts Institute of Technology
2022
|
| Online Access: | https://hdl.handle.net/1721.1/144589 |