C2PAx: Complexity-Aware Constant Parameter Approximation for Energy-Efficient Tree-Based Machine Learning Accelerators-Reference-Cited by-同舟云学术

C2PAx: Complexity-Aware Constant Parameter Approximation for Energy-Efficient Tree-Based Machine Learning Accelerators

Published:2022-07 Issue:7 Volume:69 Page:2683-2693
ISSN:1549-8328
Container-title:IEEE Transactions on Circuits and Systems I: Regular Papers
language:
Short-container-title:IEEE Trans. Circuits Syst. I

Author:

de Abreu Brunno Alves¹^ORCID,Paim Guilherme¹^ORCID,Grellert Mateus²^ORCID,Bampi Sergio¹^ORCID

Affiliation:

1. Graduate Program in Microelectronics (PGMICRO), Institute of Informatics (INF), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil

2. Graduate Program in Computer Science (PPGCC), Universidade Federal de Santa Catarina (UFSC), Florianópolis, Brazil

Funder

CNPq

CAPES

FAPERGS Research and Development Funding Agency

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Hardware and Architecture

Link

http://xplorestaging.ieee.org/ielx7/8919/9809931/09763871.pdf?arnumber=9763871

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