System-Level Analysis of MPSoCs with a Hardware Scheduler

Author:

Zhang Diandian1,Castrillon Jeronimo2,Schürmans Stefan1,Ascheid Gerd1,Leupers Rainer1,Vanthournout Bart3

Affiliation:

1. RWTH Aachen University, Germany

2. Dresden University of Technology, Germany

3. Synopsys Inc., Belgium

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.

Publisher

IGI Global

Reference44 articles.

1. GPP. (2013). 3GPP Release 8. Retrieved December 06, 2013, from http://www.3gpp.org/specifications/releases/72-release-8

2. ADAM

3. Instruction Set Architecture Extensions for a Dynamic Task Scheduling Unit

4. Networks on chips: a new SoC paradigm

5. Biscondi, E., Flanagan, T., Fruth, F., Lin, Z., & Moerman, F. (2012). Maximizing Multicore Efficiency with Navigator Runtime (White Paper). Retrieved December 8, 2013, from www.ti.com/lit/wp/spry190/spry190.pdf

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