OpenAlex
PricingAboutJobs
Log inGet started
Work

A Flexible Approach to Autotuning Multi-Pass Machine Learning Compilers

HTML

Year: 2021
Type: conference-paper
Source: International Conference on Parallel Architectures and Compilation Techniques (PACT)
DOI: 10.1109/pact52795.2021.00008
Authors: Phitchaya Mangpo Phothilimthana, Amit Sabne, Nikhil Sarda, Karthik Srinivasa Murthy, Yanqi Zhou, Christof Angermueller, Mike Burrows, Sudip Roy, Ketan Mandke, Rezsa Farahani, Yu Emma Wang, Berkin Ilbeyi, Blake Hechtman, Bjarke Roune, Shen Wang, Yuanzhong Xu, Samuel J. Kaufman
Institutions: Google (United States), University of Washington
Language: English

Topic: Parallel Computing and Optimization Techniques
Subfield: Hardware and Architecture
Field: Computer Science
Domain: Physical Sciences

Open Access status: closed
OpenAlex ID: W3205943341
FWCI: 2.436
Cites: 45
Cited by: 21
Related to: 10
OpenAlex
Nonprofit
Open DataOpen Data
Open Source
Product
Search
Compare
Pricing
Repositories
Unpaywall
Unsub
Developers
API docs
Data snapshot
Status
Source code
Organization
About
Team
Testimonials
Brand
Jobs
Community
Help center
Contact
Events
Blog
Mailing list
Supporters
Legal
Privacy
Accessibility
Terms