Saumya Chandra

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The operational characteristics of integrated circuits in nanoscale semiconductor technology are expected to be increasingly affected by variations in the manufacturing process and the operating environment. In this paper, we address the problem of incorporating the effects of variations into system-level power analysis tools. We consider both(More)
Process variations will increasingly impact the operational characteristics of integrated circuits in nanoscale semiconductor technologies. Researchers have proposed various design techniques to address process variations at the mask, circuit, and logic levels. However, as the magnitude of process variations increases, their effects will need to be(More)
The power characteristics of system-on-chips (SoCs) in nanoscale technologies are significantly impacted by manufacturing process variations, making it important to consider these effects during system-level power analysis and optimization. In this paper, we identify and address the problem of designing effective power management schemes in the presence of(More)
The power characteristics of System-on-chips (SoCs) in nanoscale technologies are significantly impacted by process variations, making it important to consider these effects during system-level power analysis and optimization. In this paper, we identify and address the problem of designing effective power management schemes in the presence of such(More)
In this paper, we address the problem of variation-aware selection of voltage levels for system-on-chips (SoCs) that are organized into multiple frequency and voltage domains. Conventionally, the voltage levels for each domain, as well as the mapping between frequencies and voltages, are determined without considering variations. In the presence of(More)
Enabling real-time video streaming from a wireless appliance requires compute intensive video compression to be performed in real-time on the appliance before transmitting the data upstream. However, the tasks of real-time video encoding and streaming from the wireless appliances are challenging due to a) limited computational and battery resources, and b)(More)
We present a genetic algorithm based network intrusion detection system named IGIDS, where the genetic algorithm is used for pruning best individuals in the rule set database. The process makes the decision faster as the search space of the resulting rule set is much compact when compared to the original data set. This makes IDS faster and intelligent. We(More)
Manufacturing and operation-induced variations have emerged as a critical challenge in designing integrated circuits (ICs) under the nanometer technology regime. Most work on addressing variations has focused on device, circuit, and logic-level solutions. As the magnitude of parameter variations increases with technology scaling, these techniques are not(More)
Today power is an important design metric and the ongoing goal of microprocessor designers is to maximize performance within specified power targets. The key to achieving this goal is the ability to accurately estimate power and performance design points of future products during the high-level micro-architectural design phase (HLD). These estimates are(More)
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