Process variation aware performance modeling and dynamic power management for multi-core systems

Garg,; Marculescu, Diana; Herbert,

doi:10.1109/iccad.2010.5654293

Cited by 3 publications

(1 citation statement)

References 3 publications

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“…Tschanz et al [159] proposed to apply a single body bias value per die to allow each die to meet the given frequency and power constraints. Garg et al [59,56] also proposed a system-level variability mitigation framework by applying ABB technique. They partitioned a multi-core platform into body-bias islands and assigned body-bias voltages for each island post-fabrication.…”

Section: Related Work On Process Variationmentioning

confidence: 99%

On the Design of Real-Time Systems on Multi-Core Platforms under Uncertainty

Wang¹

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To ensure timing constraints, traditional real-time system designs usually adopt a worst-case based deterministic approach. However, such an approach is becoming out of sync with the continuous evolution of IC technology and increased complexity of real-time applications. As IC technology continues to evolve into the deep submicron domain, process variation causes processor performance to vary from die to die, chip to chip, and even core to core. The extensive resource sharing on multicore platforms also significantly increases the uncertainty when executing real-time tasks. The traditional approach can only lead to extremely pessimistic, and thus, unpractical design of real-time systems.Our research seeks to address the uncertainty problem when designing real-time systems on multi-core platforms. We first attacked the uncertainty problem caused by process variation. We proposed a virtualization framework and developed techniques to optimize the system's performance under process variation. We further studied the problem on peak temperature minimization for real-time applications on multi-core platforms. Three heuristics were developed to reduce the peak temperature for real-time systems. Next, we sought to address the uncertainty problem vi in real-time task execution times by developing statistical real-time scheduling techniques. We studied the problem of fixed-priority real-time scheduling of implicit periodic tasks with probabilistic execution times on multi-core platforms. We further extended our research for tasks with explicit deadlines. We introduced the concept of harmonic to a more general task set, i.e. tasks with explicit deadlines, and developed new task partitioning techniques. Throughout our research, we have conducted extensive simulations to study the effectiveness and efficiency of our developed techniques.The increasing process variation and the ever-increasing scale and complexity of real-time systems both demand a paradigm shift in the design of real-time applications. Effectively dealing with the uncertainty in design of real-time applications is a challenging but also critical problem. Our research is such an effort in this endeavor, and we conclude this dissertation with discussions of potential future work.

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Section: Related Work On Process Variationmentioning

confidence: 99%

On the Design of Real-Time Systems on Multi-Core Platforms under Uncertainty

Wang¹

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Investigating the Influence of Process Variability on Asymmetric Multicore Processors

Gonçalves,

Beck,

Lorenzon

2024

2024 37th SBC/SBMicro/IEEE Symposium on Integrated Circuits and Systems Design (SBCCI)

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Explorando a Variabilidade de Processo para Otimizar a Eficiência Energética em Servidores de Nuvem

Gonçalves,

Beck,

Lorenzon

2023

Anais Do XXIV Simpósio Em Sistemas Computacionais De Alto Desempenho (SSCAD 2023)

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O número crescente de núcleos em um único chip permite que servidores em nuvem mais poderosos explorem melhor o paralelismo no nível de requisições. No entanto, isso também leva a problemas imprevistos de potência, que podem acelerar o envelhecimento dos componentes de hardware e causar erros suaves ou até mesmo falhas. Portanto, o gerenciamento inteligente da dissipação de potência tornou-se crítico e imprevisível devido à variabilidade inerente do processo - uma vez que a potência máxima varia entre os núcleos, independentemente de operarem na mesma frequência operacional. Com base nisso, propomos PowerSaver, uma abordagem para otimizar a eficiência energética dos servidores em nuvem. PowerSaver distribui automaticamente a carga de trabalho entre os núcleos e aplica ajuste dinâmico de frequência dos domínios de core e uncore com base no comportamento das tarefas e na carga dos sistemas para reduzir a potência dissipada. Resultados em quatro arquiteturas multicore idênticas mostram que PowerSaver reduz a potência de pico em até 25.6% em relação ao escalonador padrão do Sistema Operacional Linux e em até 20.3% comparado ao HiMap, uma estratégia do estado da arte, com mínimo impacto no desempenho.

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Process variation aware performance modeling and dynamic power management for multi-core systems

Cited by 3 publications

References 3 publications

On the Design of Real-Time Systems on Multi-Core Platforms under Uncertainty

On the Design of Real-Time Systems on Multi-Core Platforms under Uncertainty

Investigating the Influence of Process Variability on Asymmetric Multicore Processors

Explorando a Variabilidade de Processo para Otimizar a Eficiência Energética em Servidores de Nuvem

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