Editorial for the Beyond Moore’s Law: Hardware Specialization and Advanced System on Chip-Reference-Cited by-同舟云学术

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Editorial for the Beyond Moore’s Law: Hardware Specialization and Advanced System on Chip

Published:2023-08-11 Issue:8 Volume:14 Page:1583
ISSN:2072-666X
Container-title:Micromachines
language:en
Short-container-title:Micromachines

Author:

Yang Xiaokun¹^ORCID

Affiliation:

1. College of Science and Engineering, University of Houston Clear Lake, Houston, TX 77058, USA

Abstract

In the absence of a new transistor technology to replace CMOS, design specialization has emerged as one of the most immediate options for achieving high-performance computing [...]

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Control and Systems Engineering

Link

https://www.mdpi.com/2072-666X/14/8/1583/pdf

Reference6 articles.

1. Sha, M., Guo, Z., Guo, Y., and Zeng, X. (2022). A High-Performance and Flexible Architecture for Accelerating SDN on the MPSoC Platform. Micromachines, 13.

2. Xu, S., Zhou, Y., Huang, Y., and Han, T. (2022). YOLOv4-Tiny-Based Coal Gangue Image Recognition and FPGA Implementation. Micromachines, 13.

3. Xie, X., Zhu, M., Lu, S., and Wang, Z. (2023). Efficient Layer-Wise N:M Sparse CNN Accelerator with Flexible SPEC: Sparse Processing Element Clusters. Micromachines, 14.

4. Madineni, M., Vega, M., and Yang, X. (2023). Parameterizable Design on Convolutional Neural Networks Using Chisel Hardware Construction Language. Micromachines, 14.

5. Popovici, C., and Stan, A. (2023). Real-Time RISC-V-Based CAN-FD Bus Diagnosis Tool. Micromachines, 14.

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