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With increasing clock frequencies and silicon integration, power aware computing has become a critical concern in the design of embedded processors and systems-on-chip. One of the more effective and… Continue Reading
Power has become the primary design constraint for chip designers today. While Moore's law continues to provide additional transistors, power budgets have begun to prohibit those devices from… Continue Reading
Dynamic voltage scaling (DVS) reduces the power consumption of processors when peak performance is unnecessary. However, the achievable power savings by DVS alone is becoming limited as leakage power… Continue Reading
In this paper, we present the implementation and silicon measurements results of a 64bit processor fabricated in 0.18/spl mu/m technology. The processor employs delay-error detection and correction… Continue Reading
Static-timing analysis (STA) has been one of the most pervasive and successful analysis engines in the design of digital circuits for the last 20 years. However, in recent years, the increased loss… Continue Reading
Off-state leakage is static power, current that leaks through transistors even when they are turned off. The other source of power dissipation in today's microprocessors, dynamic power, arises from… Continue Reading
Several techniques have been proposed to reduce the power consumption in a circuit by reducing the operating voltage and frequency. However, most of these techniques have to provide some conservative… Continue Reading
We take advantage of these findings and propose a Razor II approach that introduces two components. First, instead of performing both error detection and correction in the FF, Razor II performs only… Continue Reading
Sensing systems such as biomedical implants, infrastructure monitoring systems, and military surveillance units are constrained to consume only picowatts to nanowatts in standby and active mode,… Continue Reading
Statistical Models and Techniques.- Statistical Timing Analysis.- Statistical Power Analysis.- Yield Analysis.- Statistical Optimization Techniques.