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Design space exploration of heterogeneous MPSoCs with variable number of hardware accelerators

Authors: Siyuan Xu; Shuangnan Liu; Yidi Liu; Anushree Mahapatra; Monica Villaverde; Félix Moreno; Benjamin Carrión Schäfer;

Design space exploration of heterogeneous MPSoCs with variable number of hardware accelerators

Abstract

This work proposes three different methods to automatically characterize heterogeneous MPSoCs composed of a variable number of masters (in the form of processors) and hardware accelerators (HWaccs). These hardware accelerators are given as Behavioral IPs (BIPs) mapped as loosely coupled accelerators on a shared bus system (i.e. AHB, AXI). BIPs have a distinct advantage over traditional RT-level based IPs given VHDL or Verilog: The ability to generate micro-architectures with different area vs. performance trade-offs from the same description. This is usually done by specifying different synthesis directives in the form of pragmas. This in turn implies that using different mixes of the accelerators’ micro-architectures lead to SoCs with unique area vs. performance trade-offs. Two of the three methods proposed are based on cycle-accurate simulations of the complete MPSoC, while the third method accelerates this exploration by performing it on a Configurable SoC FPGA. Extensive experimental results compare these three methods and highlight their strengths and weaknesses.

Country
Spain
Keywords

Informática, Heterogeneous SoCs, Simulation acceleration, High-level synthesis, In-situ exploration, Electrónica, Hardware accelerators, Design space exploration, Ingeniería Industrial

  • BIP!
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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    7
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Average
Green
hybrid