IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

System-Level Analysis of MPSoCs with a Hardware Scheduler

System-Level Analysis of MPSoCs with a Hardware Scheduler
View Sample PDF
Author(s): Diandian Zhang (RWTH Aachen University, Germany), Jeronimo Castrillon (Dresden University of Technology, Germany), Stefan Schürmans (RWTH Aachen University, Germany), Gerd Ascheid (RWTH Aachen University, Germany), Rainer Leupers (RWTH Aachen University, Germany)and Bart Vanthournout (Synopsys Inc., Belgium)
Copyright: 2016
Pages: 36
Source title: Leadership and Personnel Management: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-9624-2.ch035

Purchase

View System-Level Analysis of MPSoCs with a Hardware Scheduler on the publisher's website for pricing and purchasing information.

Abstract

Efficient runtime resource management in heterogeneous Multi-Processor Systems-on-Chip (MPSoCs) for achieving high performance and energy efficiency is one key challenge for system designers. In the past years, several IP blocks have been proposed that implement system-wide runtime task and resource management. As the processor count continues to increase, it is important to analyze the scalability of runtime managers at the system-level for different communication architectures. In this chapter, the authors analyze the scalability of an Application-Specific Instruction-Set Processor (ASIP) for runtime management called OSIP on two platform paradigms: shared and distributed memory. For the former, a generic bus is used as interconnect. For distributed memory, a Network-on-Chip (NoC) is used. The effects of OSIP and the communication architecture are jointly investigated from the system point of view, based on a broad case study with real applications (an H.264 video decoder and a digital receiver for wireless communications) and a synthetic benchmark application.

Related Content

Anastasia A. Katou, Mohinder Chand Dhiman, Anastasia Vayona, Maria Gianni. © 2024. 22 pages.
José Ricardo Andrade. © 2024. 20 pages.
Richa Kapoor Mehra. © 2024. 17 pages.
Rajwant Kaur. © 2024. 14 pages.
Namrita Kalia. © 2024. 14 pages.
Hasiba Salihy, Dipanker Sharma. © 2024. 14 pages.
Priya Sharma, Rozy Dhanta, Atul Sharma. © 2024. 20 pages.
Body Bottom