Work

Flexion: A Quantitative Metric for Flexibility in DNN Accelerators

Year: 2020

Type: article

Source: IEEE Computer Architecture Letters

DOI: 10.1109/lca.2020.3044607

Authors: Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna

Institutions: Georgia Institute of Technology, Nvidia (United States)

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W3113081963

FWCI: 2.603

Cites: 8

Cited by: 22

Related to: 10