Autonomous DVFS on Supply Islands for Energy-Constrained NoC Communication

Guang, Liang; Nigussie, Ethiopia; Koskinen, Lauri; Tenhunen, Hannu

doi:10.1007/978-3-642-00454-4_19

Cited by 16 publications

(16 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The energy and timing parameters of a combination of PE and task are derived from the benchmarks. The parameters of communications are taken from [24].…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Communication-aware VFI partitioning for GALS-based networks-on-chip

Shin

Kim

Kwon

et al. 2011

Des Autom Embed Syst

View full text Add to dashboard Cite

The voltage/frequency island (VFI) design paradigm is a practical architecture for energy-efficient networks-on-chip (NoC) systems. In VFI-based NoC systems, each island can be operated with different voltage and clock frequency and thus it is important to carefully partition processing elements (PEs) into islands based on their workloads and communications. In this paper, we propose an energy-efficient design scheme that optimizes energy consumption and hardware costs in VFI-based NoC systems. Since on-chip networks take up a substantial portion of system power budget in NoC-based systems, the proposed scheme uses communication-aware VFI partitioning and tile mapping/routing algorithms to minimize the inter-VFI communications. Experimental results show that the proposed design technique can reduce communication energy consumption by 32-51% over existing techniques and total energy consumption by 3-14%.

show abstract

“…The energy and timing parameters of a combination of PE and task are derived from the benchmarks. The parameters of communications are taken from [24].…”

Section: Methodsmentioning

confidence: 99%

“…Guang et al [24] proposed an autonomous DVFS technique for VFI-based NoC. The local DVFS monitor adjusts the voltage and frequency of each island based on the network load at run time.…”

Section: Related Workmentioning

confidence: 99%

Communication-aware VFI partitioning for GALS-based networks-on-chip

Shin

Kim

Kwon

et al. 2011

Des Autom Embed Syst

View full text Add to dashboard Cite

show abstract

“…Other adaptive multicore DVFS techniques have been applied to other architecture, e.g., networks-on chip (NoCs). Guang et al [11] presented an autonomous-DVFS enabled supply island architecture on an NoC platform. The voltage and frequency of each island are adjusted by the local DVFS monitor based on its regional communication load.…”

Section: Background and Related Workmentioning

confidence: 99%

Tunable Multiprocess Mapping on Coarse-Grain Reconfigurable Architectures With Dynamic Frequency Control

Schafer

2016

IEEE Trans. VLSI Syst.

View full text Add to dashboard Cite

This brief presents a method to map multiple concurrently executing independent tasks onto a coarse-grain reconfigurable architecture (CGRA) with adaptive frequency control to increase the overall throughput and minimize the total area. The commercial CGRA targeted in this brief is embedded as an IP into reconfigurable systemson-a-chip and is runtime reconfigurable. It is able to reconfigure its tiles every clock cycle by loading new contexts while adapting its clock. Each tile on the CGRA is composed of a certain number of processing elements and has its own adaptive clock domain. This clock is fully adaptive so that it can match the critical path in each context and hence maximize the throughput. The method proposed in this brief effectively maps multiple independent tasks (applications) onto the same tile(s) in order to minimize the total tiles usage, requiring a smaller CGRA IP area, while achieving high throughput. Experimental results show that our method is very effective and that it can reduce the number of tiles used on average by 31.8% while degrading the overall performance by only 5.7% on average compared with the fastest solution which maps each kernel onto its own tiles with its own adaptive clock.Index Terms-Adaptive clock, coarse grained reconfigurable architecture (CGRA), dynamic frequency control (DFC), high-level synthesis, runtime reconfiguration. 1063-8210

show abstract

“…It is well known that one can reduce the dynamic CPU power consumption at least quadratically by reducing the execution speed linearly. Moreover, advances in semiconductor technology have permitted flexible control at each core in modern many-core architecture through separate voltage and frequency islands [23][24][25]. The dynamic CPU power consumption of a computing core executing at speed σ is given by the function p d (σ) = σ n where n ≥ 2.…”

Section: Power and Energy Modelsmentioning

confidence: 99%

Shadow Replication: An Energy-Aware, Fault-Tolerant Computational Model for Green Cloud Computing

et al. 2014

View full text Add to dashboard Cite

As the demand for cloud computing continues to increase, cloud service providers face the daunting challenge to meet the negotiated SLA agreement, in terms of reliability and timely performance, while achieving cost-effectiveness. This challenge is increasingly compounded by the increasing likelihood of failure in large-scale clouds and the rising impact of energy consumption and CO 2 emission on the environment. This paper proposes Shadow Replication, a novel fault-tolerance model for cloud computing, which seamlessly addresses failure at scale, while minimizing energy consumption and reducing its impact on the environment. The basic tenet of the model is to associate a suite of shadow processes to execute concurrently with the main process, but initially at a much reduced execution speed, to overcome failures as they occur. Two computationally-feasible schemes are proposed to achieve Shadow Replication. A performance evaluation framework is developed to analyze these schemes and compare their performance to traditional replication-based fault tolerance methods, focusing on the inherent tradeoff between fault tolerance, the specified SLA and profit maximization. The results show that Shadow Replication leads to significant energy reduction, and is better suited for compute-intensive execution models, where up to 30% more profit increase can be achieved due to reduced energy consumption.

show abstract

Autonomous DVFS on Supply Islands for Energy-Constrained NoC Communication

Cited by 16 publications

References 17 publications

Communication-aware VFI partitioning for GALS-based networks-on-chip

Communication-aware VFI partitioning for GALS-based networks-on-chip

Tunable Multiprocess Mapping on Coarse-Grain Reconfigurable Architectures With Dynamic Frequency Control

Shadow Replication: An Energy-Aware, Fault-Tolerant Computational Model for Green Cloud Computing

Contact Info

Product

Resources

About