A Reconfigurable NoC Platform Incorporating Real-Time Task Management Technique for H/W-S/W Codesign of Network Protocols

Kim, Byoung-Hoon; Kim, Youngmann; Lee, Donggeon; Tak, Sungwoo

doi:10.1109/umc.2008.55

Cited by 5 publications

(1 citation statement)

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“…These elements may include specialized monitoring agents or other dynamic management components. Hardware-focused systems are typically faster than software-based systems, as they can perform multiple tasks in parallel [19]. This approach automates management processes such as path switching, where processing speed is more favorable than the overhead that software-based implementations may introduce.…”

Section: Hardware-focusedmentioning

confidence: 99%

A Survey of MPSoC Management toward Self-Awareness

Gonzalez-Martinez,

Sandoval-Arechiga,

Solis-Sanchez

et al. 2024

Micromachines

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Managing Multi-Processor Systems-on-Chip (MPSoCs) is becoming increasingly complex as demands for advanced capabilities rise. This complexity is due to the involvement of more processing elements and resources, leading to a higher degree of heterogeneity throughout the system. Over time, management schemes have evolved from simple to autonomous systems with continuous control and monitoring of various parameters such as power distribution, thermal events, fault tolerance, and system security. Autonomous management integrates self-awareness into the system, making it aware of its environment, behavior, and objectives. Self-Aware Cyber-Physical Systems-on-Chip (SA-CPSoCs) have emerged as a concept to achieve highly autonomous management. Communication infrastructure is also vital to SoCs, and Software-Defined Networks-on-Chip (SDNoCs) can serve as a base structure for self-aware systems-on-chip. This paper presents a survey of the evolution of MPSoC management over the last two decades, categorizing research works according to their objectives and improvements. It also discusses the characteristics and properties of SA-CPSoCs and explains why SDNoCs are crucial for these systems.

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Section: Hardware-focusedmentioning

confidence: 99%