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Showing 1 to 6 of 6 for “"voltage overscaling"”.

  1. Reliable and Low -Power Signal Processing via Algorithmic Noise -Tolerance

    … operation in presence of noise. We introduce voltage overscaling where the supply voltage is reduced beyond the limit imposed by the critical path delay to reduce energy dissipation. The resulting degradation in algorithmic performance is restored by employing ANT, thereby achieving energy …

    uiuc Repository record for Reliable and Low -Power Signal Processing via Algorithmic Noise -Tolerance (opens in a new tab)

  2. Error -Tolerant Digital Signal Processing

    … integrated to any DSP system. Combined with voltage overscaling (VOS), RPR achieves desired performance with considerable energy savings. We extend forward predictor-based ANT and present hybrid ANT and forward-backward predictor ANT as a way to ameliorate the performance loss due to error …

    uiuc Repository record for Error -Tolerant Digital Signal Processing (opens in a new tab)

  3. Bio-inspired error-tolerant and energy-efficient signal processing

    … However, both techniques lead to large process, voltage and temperature variations and therefore jeopardize system reliability. In order to achieve both energy savings and system reliability, we take inspirations from biological methods, such as population-coding, and apply these methods to a …

    uiuc Repository record for Bio-inspired error-tolerant and energy-efficient signal processing (opens in a new tab)

  4. Recovery-driven design: Exploiting error resilience in design of energy-efficient processors

    … that deliberately allows errors caused by voltage overscaling to occur during nominal operation, while relying on an error resilience technique to tolerate these errors. We present a detailed evaluation and analysis of such a design-level methodology that minimizes the power of a processor …

    uiuc Repository record for Recovery-driven design: Exploiting error resilience in design of energy-efficient processors (opens in a new tab)

  5. Design of robust ultra-low power platform for in-silicon machine learning

    … fabrics (e.g., CMOS operating in near-threshold voltage or voltage overscaling, and beyond CMOS devices). This dissertation presents the Compute VRM (C-VRM) to embed the information processing into the energy delivery subsystem. The C-VRM employs multiple voltage domain stacking and core swapping …

    uiuc Repository record for Design of robust ultra-low power platform for in-silicon machine learning (opens in a new tab)

  6. Stochastic computation for energy-efficient robust ultra-low-power platforms

    … capability, are demonstrated in the presence of voltage and process variations. A stochastic computing-based biomedical processing IC is designed at the MEOP. The supply voltage of the prototype IC can be scaled to 15% below its critical (error-free) value of 0.4V, while compensating for a …

    uiuc Repository record for Stochastic computation for energy-efficient robust ultra-low-power platforms (opens in a new tab)