Optimization strategies for GPUs: an overview of architectural approaches. Issue 2 (4th March 2023)

• Record Type: Journal Article
• Authors: Masola, Alessio; Capodieci, Nicola
• Is Part Of: International journal of parallel, emergent and distributed systems. Volume 38:Issue 2(2023)
• Page Start: 140
• Page End: 154
• Publication Date: 2023-03-04
• Subjects: Survey -- optimization strategies -- embedded systems -- approaches -- embedded GPUs; Parallel computers -- Periodicals; Electronic data processing -- Distributed processing -- Periodicals; Computer algorithms -- Periodicals; 004.35
• DOI: 10.1080/17445760.2023.2173752
• Languages: English
• ISSNs: 1744-5760

Abstract

Abstract : Modern Cyber Physical Systems (CPS) applications require hardware capable of optimized performance-per-watt efficency. This is usually obtained through massively parallel accelerators such as the GPU. Recent research is therefore investigating novel designs to optimize GPU energy consumption and performance for various applications in the Internet-of-things, autonomous navigation, and industrial robotics domains. This paper presents a survey of the current state-of-the-art approaches for optimizing GPU performance metrics; we present a complete and up-to-date summary of ideas, mechanisms, and potential improvements for next-generation GPU devices. GRAPHICAL ABSTRACT: UF0001