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Guest Editorial: Special Issue on Systems Optimizations for DSP and AI Applications by Kuan-Hsun Chen; Yung-Chia Lin; Jenq-Kuen Lee is a Computer Science article available to read on EtoBox.

What is Guest Editorial: Special Issue on Systems Optimizations for DSP and AI Applications about?

Embedded systems are increasingly important for signal processing, machine learning, and multimedia applications in recent years. While such systems will look to play an important role ahead for signal processing and AI application designs, many challenging problems, such as large data computations and memory footprints, remain to be resolved, especially from the efficiency aspect. Programming models, compilers, API designs, architecture designs, and software tools all need to contribute to the advance of system designs. This special issue aims to bring together researchers in the related areas to present the latest developments and technical solutions concerning various aspects of signal processing and AI applications in system optimizations.This special issue consists of seven papers that are briefly discussed as follows:First off, Wu et al.'s paper on accelerating OpenVX provides a compiler framework to generate efficient binary code. Specifically, given a program written in OpenVX, the framework proposed in this work translates the program to Halide for scheduling, and then converts it to MLIR. The results show that an order of magnitude speedup for kernels used in image proces

Who reads Guest Editorial: Special Issue on Systems Optimizations for DSP and AI Applications?

Author

Kuan-Hsun Chen; Yung-Chia Lin; Jenq-Kuen Lee

Publisher

Springer Science and Business Media LLC

Published

2023

Language

EN

Field

Computer Science (Physical Sciences)