Neighbor-aware dynamic thermal management for multi-core platform

Liu, Guanglei; Fan, Ming; Quan, Gang

doi:10.1109/date.2012.6176460

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…

and

represent the number of links that pass through the X-dimension, Y-dimension, and Z-dimension from node

to node

, provided that the shortest possible routing algorithm is adopted.

represents the energy consumption of data in transmission in TSV and the ratio of energy consumption in horizontal links (TSV consumes only 7.5% of the communication energy compared to normal horizontal links [ 4 ]).…”

Section: System and Computation Modelmentioning

confidence: 99%

“…In addition, the instantaneous increase in temperature can result in severe system failures, and prolonged overheating can result in the deterioration of the chip’s packaging materials and integrated circuits. This can result in increased cooling costs, reduced reliability, and signal integrity issues [ 3 , 4 , 5 ]. At present, overheating problems are a major issue in the field of IC design, which has led to the emergence of various chip cooling techniques.…”

Section: Introductionmentioning

confidence: 99%

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Hybrid Optimization Algorithm Based on Double Particle Swarm in 3D NoC Mapping

Fang

Cai

2023

Micromachines

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Increasing the number of cores on a chip is one way to solve the bottleneck of exponential growth but an excessive number of cores can lead to problems such as communication blockage and overheating of the chip. Currently, networks-on-chip (NoC) can offer an effective solution to the problem of the communication bottleneck within the chip. With current advancements in IC manufacturing technology, chips can now be 3D-stacked in order to increase chip throughput as well as reduce power consumption while reducing the area of the chip. Automating the mapping of applications into 3D NoC topologies is an important new direction for research in the field of 3D NoC. In this paper, a 3D NoC partitioning algorithm is proposed, which can delineate the 3D NoC region to be mapped. Additionally, a double particle swarm optimization (DPSO) based heuristic algorithm is proposed, which can integrate the characteristics of neighborhood search and genetic algorithms, and thus solve the problem of a particle swarm algorithm falling into local optimal solutions. It is experimentally demonstrated that this DPSO-based hybrid optimization algorithm has a higher throughput rate and lower energy loss than the traditional heuristic algorithm.

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“…

and

represent the number of links that pass through the X-dimension, Y-dimension, and Z-dimension from node

to node

, provided that the shortest possible routing algorithm is adopted.

Section: System and Computation Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hybrid Optimization Algorithm Based on Double Particle Swarm in 3D NoC Mapping

Fang

Cai

2023

Micromachines

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Physical-aware predictive dynamic thermal management of multi-core processors

Salami

Noori

Mehdipour

et al. 2016

Journal of Parallel and Distributed Computing

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1 This paper is the extension of our ASP-DAC 2014 paper, titled -Physical-Aware Task Migration Algorithm for Dynamic Thermal Management of SMT Multi-core Processors‖. The details and the differences between the two versions have been explained in the cover letter.Abstract-The advances in silicon process technology have made it possible to have processors with larger number of cores. The increment of cores number has been hindered by increasing power consumption and heat dissipation due to high power expenditure in a small area die size. The high temperature can cause degradation in performance, reliability, transistor ageing, transition speed and increase in leakage current. In this paper, we present a method which considers different thermal behavior of cores and uses both physical sensors and performance counters simultaneously to improve thermal management of both SMT multi-core processors with a physical sensor per core and Non-SMT multi-core processors with only one physical sensor for the processor. The experimental results indicate that our technique can significantly decrease the average and peak temperature in most cases compared to Linux standard scheduler, and two well-known thermal management techniques: PDTM, and TAS.

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Game-of-Life Temperature-Aware DVFS Strategy for Tile-Based Chip Many-Core Processors

Yao

2023

IEEE J. Emerg. Sel. Topics Circuits Syst.

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Neighbor-aware dynamic thermal management for multi-core platform

Cited by 4 publications

References 11 publications

Hybrid Optimization Algorithm Based on Double Particle Swarm in 3D NoC Mapping

Hybrid Optimization Algorithm Based on Double Particle Swarm in 3D NoC Mapping

Physical-aware predictive dynamic thermal management of multi-core processors

Game-of-Life Temperature-Aware DVFS Strategy for Tile-Based Chip Many-Core Processors

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