A scalable multi-dimensional NoC simulation model for diverse spatio-temporal traffic patterns

Weldezion, Awet Yemane; Grange, Matt; Pamunuwa, Dinesh; Jantsch, Axel; Tenhunen, Hannu

doi:10.1109/3dic.2013.6702365

Cited by 5 publications

(2 citation statements)

References 5 publications

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“…The power consumption of individual routers also vary dynamically due to primarily uneven traffic distribution in a network. When a set of system resources are To accurately measure power dissipation in routers, a power meter is designed within the router micro-architecture [27]. The power meter reads the rate of packet flow at link level and sends its aggregate value to the central control.…”

Section: Application Power Calculatormentioning

confidence: 99%

Multi-Objective Power Management for CMPs in the Dark Silicon Age

Rahmani

Haghbayan

Liljeberg

et al. 2017

The Dark Side of Silicon

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New power management challenges in networked many-core systems arise when limitations of the dark silicon era come into reality. The main goal in the power management process is to achieve optimal power-performance efficiency considering thermal design power budget. This necessitates i) monitoring several system characteristics including both communication and computation aspects, ii) categorizing, prioritizing, and processing the information in an intelligent way, iii) and controlling a rich set of actuators. More precisely, a comprehensive Observe-Decide-Act (ODA) loop based multi-objective control approach is needed, which has access to a rich set of sensors and actuators. In this chapter, we first identify a necessary set of system parameters for monitoring such as an upper limit on total power consumption, dynamic behaviour of workloads, utilization of processing elements, per-core power consumption, load on network-on-chip, etc. We also discuss essential actuators needed for the power management process together with a multi-objective and dark silicon aware power management policy that is able to simultaneously consider all the mentioned parameters. As actuator, fine-grained voltage and frequency scaling is utilized, including near-threshold operation, per-core power gating, as well as scheduler-level actuation to maximize the system throughput while honoring the power budget.

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Section: Application Power Calculatormentioning

confidence: 99%

Multi-Objective Power Management for CMPs in the Dark Silicon Age

Rahmani

Haghbayan

Liljeberg

et al. 2017

The Dark Side of Silicon

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show abstract

“…We read the rate of packet flow at link level and send its aggregate value to the central control, using a light-weight power meter within the router micro-architecture presented in [10]. In our power management platform, the Application Power Calculator (AP C) unit calculates the current power consumption of each application based on the Application Matrix provided by DMU and Tile Power Matrix, measured by the core and router power meters.…”

Section: Power Management Platformmentioning

confidence: 99%

Dynamic power management for many-core platforms in the dark silicon era: A multi-objective control approach

Rahmani

Haghbayan²,

Kanduri

et al. 2015

2015 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)

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Power management of NoC-based many-core systems with runtime application mapping becomes more challenging in the dark silicon era. It necessitates a multi-objective control approach to consider an upper limit on total power consumption, dynamic behaviour of workloads, processing elements utilization, per-core power consumption, and load on networkon-chip. In this paper, we propose a multi-objective dynamic power management method that simultaneously considers all of these parameters. Fine-grained voltage and frequency scaling, including near-threshold operation, and per-core power gating are utilized to optimize the performance. In addition, a disturbance rejecter is designed that proactively scales down activity in running applications when a new application commences execution, to prevent sharp power budget violations. Simulations of dynamic workloads and mixed time-critical application profiles show that our method is effective in honoring the power budget while considerably boosting the system throughput and reducing power budget violation, compared to the state-of-the-art power management policies.

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Zero-load predictive model for performance analysis in deflection routing NoCs

Weldezion

Grange

Jantsch

et al. 2015

Microprocessors and Microsystems

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We study a static model for 2-D and 3-D networks that accurately represents the average distance travelled by packets under deflection routing, which is a specific form of adaptive routing. The model captures static properties of the network topology and the spatial distribution of traffic, but does not take into account traffic loading and congestion. Even though this static model cannot accurately predict packet latency under high load, we contend that it is a perfect predictor of deflection routing networks' relative performance under any load condition below saturation, and thus always correctly predicts the optimum network configuration. This is verified through cycle-accurate simulations of congested and uncongested networks with fully adaptive, deflection routing for regular traffic patterns such as uniform random, localized, bursty, and others, as well as irregular patterns in both regular and irregular networks. As the networks with minimal average distance perform best even under high traffic load, the average distance model establishes a robust relation between a static network property, average distance, and network performance under load, providing new insight into network behaviour and an opportunity to identify the optimal network configuration without timeconsuming simulations.

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A scalable multi-dimensional NoC simulation model for diverse spatio-temporal traffic patterns

Cited by 5 publications

References 5 publications

Multi-Objective Power Management for CMPs in the Dark Silicon Age

Multi-Objective Power Management for CMPs in the Dark Silicon Age

Dynamic power management for many-core platforms in the dark silicon era: A multi-objective control approach

Zero-load predictive model for performance analysis in deflection routing NoCs

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