A Flexible Approach to Autotuning Multi-Pass Machine Learning Compilers
Year: 2021
Type: conference-paper
Institutions: Google (United States), University of Washington
Language: English
Subfield: Hardware and Architecture
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W3205943341
