Work

Efficient Winograd-based Convolution Kernel Implementation on Edge Devices

Year: 2018

Type: conference-paper

Source: ACM/IEEE Design Automation Conference (DAC)

DOI: 10.1109/dac.2018.8465825

Authors: Athanasios Xygkis, Dimitrios Soudris, Lazaros Papadopoulos, Sofiane Yous, David Moloney

Institutions: Intel (Ireland), National Technical University of Athens

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: Family Process Institute, European Commission

Awards: G434337789, Software Development toolKit for Energy optimization and technical Debt elimination, Versatile Integrated Accelerator-based Heterogeneous Data Centres

OpenAlex ID: W4237812669

FWCI: 1.978

Cites: 12

Cited by: 43

Related to: 10