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The current energy and environmental cost trends of datacenters are unsustainable. It is critically important to develop datacenter-wide power and thermal management (PTM) solutions that improve the energy efficiency of the datacenters. This paper describes one such approach where a PTM engine decides on the number and placement of ON servers while(More)
Cloud computing systems (or hosting datacenters) have attracted a lot of attention in recent years. Utility computing, reliable data storage, and infrastructure-independent computing are example applications of such systems. Electrical energy cost of a cloud computing system is a strong function of the consolidation and migration techniques used to assign(More)
In a multi-core system, power and performance may be dynamically traded off by utilizing power management (PM). This paper addresses the problem of minimizing the total power consumption of a Chip Multiprocessor (CMP) while maintaining a target average throughput. The proposed solution relies on a hierarchical framework, which employs core consolidation,(More)
In this paper, we present a technique to optimize the energy-delay product of a synchronous linear pipeline circuit with dynamic error detection and correction capability running. The technique dynamically adjusts the supply voltage level and clock frequency of the design by exploiting slacks that are present in various stages of the pipeline. The key(More)
In this paper, we present and solve the problem of power-delay optimal soft linear pipeline design. The key idea is to use soft-edge flip-flops to allow time borrowing among consecutive stages of the pipeline in order to provide the timing-critical stages with more time and trade this timing slack for power saving. We formulate the problem of optimally(More)
This paper presents a novel technique to minimize the total power consumption of a synchronous linear pipeline circuit by exploiting extra slacks available in some stages of the pipeline. The key idea is to utilize soft-edge flip-flops to enable time borrowing between stages of a linear pipeline in order to provide the timing-critical stages with more time(More)
Electrical Impedance Tomography (EIT) is a visualization of the internal electric conductivity of an object using measurements performed on its surfaces. As an Inverse problem, the solution can be approximated by means of Artificial Neural Networks. In this paper, an Artificial Neural Network solution to this Inverse Problem is presented. Based on the(More)
Power dissipation and die temperature have become key performance limiters in today's high-performance Chip Multiprocessors (CMPs.) Dynamic power management solutions have been proposed to manage resources in a CMP based on the measured power dissipation, performance, and die temperature of processing cores. In this paper, we develop a robust framework for(More)
With the increasing levels of variability in the characteristics of VLSI circuits and continued uncertainty in the operating conditions of processors, achieving predictable power efficiency and high performance in the electronic systems has become a daunting, yet vital, task. This paper tackles the problem of system-level dynamic power management (DPM) in(More)
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