Design Methodology for Responsive and Rrobust MIMO Control of Heterogeneous Multicores

Mück, Tiago; Donyanavard, Bryan; Moazzemi, Kasra; Rahmani, Amir M.; Jantsch, Axel; Dutt, Nikil

doi:10.1109/tmscs.2018.2808524

Cited by 9 publications

(7 citation statements)

References 34 publications

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“…Since the current implementation of middleware uses a SISO controller, we approximate the components one at a time. While in this case study we utilize a SISO controller, a multiple-input-multiple output (MIMO) controller could also be used [14].…”

Section: Discussionmentioning

confidence: 99%

Self-Adaptive Memory Approximation: A Formal Control Theory Approach

Maity

Shoushtari

Rahmani

et al. 2020

IEEE Embedded Syst. Lett.

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Memory approximation enables trading off quality/accuracy for performance or energy gains. Traditionally, application programmers are burdened with the difficult task of setting memory approximation knobs to achieve the desired quality of service (QoS). Our self-adaptive approach for memory approximation eases the programmer's burden: simply specify the desired quality as a goal, with the system deploying a formal control-theoretic approach to tune the memory approximation knobs and deliver a guaranteed QoS. We model quality configuration tracking as a formal quality control problem, and outline a System Identification technique that captures memory approximation effects with variations in application input and system architecture. Preliminary results show that we can alleviate the programmer's burden of manual knob tuning for on-chip memory approximation. When compared to a manual calibration scheme we achieve 3× improvement in average settling time and upto 5× improvement in best case settling time.

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Section: Discussionmentioning

confidence: 99%

Self-Adaptive Memory Approximation: A Formal Control Theory Approach

Maity

Shoushtari

Rahmani

et al. 2020

IEEE Embedded Syst. Lett.

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“…Multiple Input Multiple Output (MIMO) control theory is able to coordinate and prioritize multiple design goals and actions. MIMO controllers have proven effective for coordinating management of multiple goals in unicore processors [17] and HMPs [12].…”

Section: Multiple Input Multiple Output Controllersmentioning

confidence: 99%

Reflecting on Self-Aware Systems-on-Chip

Donyanavard

Mück

Moazzemi

et al. 2020

A Journey of Embedded and Cyber-Physical Systems

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Introduction to Self-Aware Systems-on-ChipWe are seeing an increasing number of complex cyber-physical systems (CPS) deployed for various applications, such as road-traffic control involving communicating autonomous cars and infrastructure, or smart grids controlling energy delivery down to the individual device. These distributed applications follow common design objectives, such as energy-efficiency, and require guarantees for high availability, real time or safety. In this context, autonomy is crucial: multiple system goals varying over time need to be adaptively managed and objectives holistically coordinated. By empowering future CPS with self-awareness, these systems promise to dynamically adapt, learn, and manage unforeseen changes [6].

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“…This method takes advantage of fast response of the per-core reinforcement learning while making sure the global power consumption remains under the budget using Maximize-the-Max method. Muck et al (2018) propose Multiple-Input Mutiple-Output (MIMO) for controlling various actuators in Heterogeneous Multi-core Processors (HMP) in order to control both power consumption and overall system performance.…”

Section: Dvfs and Power Gatingmentioning

confidence: 99%

On-Chip Dynamic Resource Management

Miele

Kanduri²,

Moazzemi³

et al. 2019

FNT in Electronic Design Automation

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The need for dynamic resource management has shadowed the exponential growth of on-chip transistor capacity, and the challenge is accentuated by the heterogeneity of resources, and the bewildering variety of constraints and requirements of applications, platforms and users. The field has started with a few research papers in the early 1990s but has grown today to over hundred yearly publications, leading to an accumulated body of literature presumable far above 1000 papers. We focus on the dynamic (run-time) management of onchip resources and mostly ignore design-time techniques and off-chip resources of larger electronic systems. Moreover, we do not attempt a complete review of all published work on the topic. Rather, this survey provides a structured review and discussion of the state of the art and is divided along the primary objectives of resource management techniques: performance, power, reliability and quality of service, each

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Design Methodology for Responsive and Rrobust MIMO Control of Heterogeneous Multicores

Cited by 9 publications

References 34 publications

Self-Adaptive Memory Approximation: A Formal Control Theory Approach

Self-Adaptive Memory Approximation: A Formal Control Theory Approach

Reflecting on Self-Aware Systems-on-Chip

On-Chip Dynamic Resource Management

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