OpenAlex
PricingAboutJobs
Log inGet started
Work

Onyx: A Programmable Accelerator for Sparse Tensor Algebra

HTML

Year: 2024
Type: conference-paper
Source: IEEE Hot Chips Symposium
DOI: 10.1109/hcs61935.2024.10665150
Authors: Kalhan Koul, Maxwell Strange, Jackson Melchert, Alex Carsello, Yuchen Mei, Olivia Hsu, Taeyoung Kong, Po-Han Chen, Huifeng Ke, Keyi Zhang, Qiaoyi Liu, Gedeon Nyengele, Akhilesh Balasingam, Jayashree Adivarahan, Ritvik Sharma, Zhouhua Xie, Christopher Torng, Joel Emer, Fredrik Kjolstad, Mark Horowitz, Priyanka Raina
Institutions: Stanford University, University of Southern California, Massachusetts Institute of Technology
Language: English

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

Open Access status: closed

Funders: National Science Foundation, Samsung
Award: CAREER: A Framework for Co-design and Optimization of Programmable Hardware Accelerators and Compilers
OpenAlex ID: W4402475856
FWCI: 1.553
Cites:
Cited by: 5
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