Proactive thermal management using memory based computing

Hajimiri, Hadi; Qathrady, Mimonah Al; Mishra, Prabhat

doi:10.1109/nanoarch.2013.6623054

Cited by 3 publications

(3 citation statements)

References 16 publications

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“…Thermal management became a prominent challenge in fighting the expanding dark, nonactive, silicon areas on chip. Hajimiri et al (2013) proposed thermal-aware computation using proactive memorybased computing to reduce the peak temperature of applications. This technique proactively transfers the instructions with frequent operand pairs to memory.…”

Section: Dynamic Thermal-aware Management Methodsmentioning

confidence: 99%

“…. (2005),Ayoub et al (2010),Vassighi and Sachdev (2006),Donald and Martonosi (2005),Coskun et al (2007),Liao et al (2005),Jung and Pedram (2006),,Kanduri et al (2015),Chou et al (2017),Kanduri et al (2018a) Resource allocationBrooks and Martonosi (2001),Skadron et al (2003),Hajimiri et al (2013),Christoforakis et al (2015),Lee et al (2015),Lo et al (2016),Wolf et al (2016),Murray et al (2014) …”

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confidence: 99%

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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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Section: Dynamic Thermal-aware Management Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

On-Chip Dynamic Resource Management

Miele

Kanduri²,

Moazzemi³

et al. 2019

FNT in Electronic Design Automation

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“…Thermal management became a prominent challenge in dark silicon era [18]. Furthermore, [19] proposes a thermal-aware computation in nano scale technologies. Mechanisms in [20], [21] consider 3-D stacking architectures and the thermal limitations for such chips.…”

Section: B Temperaturementioning

confidence: 99%

Trends in On-chip Dynamic Resource Management

Moazzemi¹,

Kanduri²,

Juhász³

et al. 2018

2018 21st Euromicro Conference on Digital System Design (DSD)

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The Complexity of emerging multi/many-core architectures and diversity of modern workloads demands coordinated dynamic resource management methods. We introduce a classification for these methods capturing the utilized resources and metrics. In this work, we use this classification to survey the key efforts in dynamic resource management.We first cover heuristic and optimization methods used to manage resources such as power, energy, temperature, Qualityof-Service (QoS) and reliability of the system. We then identify some of the machine learning based methods used in tuning architectural parameters in computer systems. In many cases, resource managers need to enforce design constraints during runtime with a certain level of guarantee. Hence, we also study the trend in deploying formal control theoretic approaches in order to achieve efficient and robust dynamic resource management.

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