GPU-Accelerated Differentiable Framework Resolving Trade-off Between Speed and Accuracy in Switching Power Analysis (Duke, Synopsys)

<p>Researchers from Duke University and Synopsys published a technical paper titled “DiffPower: GPU-Accelerated Differentiable Switching Power Analysis and Optimization.” Abstract Excerpt: The paper presents DiffPower as “a GPU-accelerated framework for differentiable power analysis and optimization. DiffPower translates design netlists into a PDK-agnostic bytecode representation, enabling analytical gradient computation via reverse-mode automatic differentiation, achieving up to... <a class="read_more" href="https://semiengineering.com/gpu-accelerated-differentiable-framework-resolving-trade-off-between-speed-and-accuracy-in-switching-power-analysis-duke-synopsys/">&#187; read more</a></p> <p>The post <a href="https://semiengineering.com/gpu-accelerated-differentiable-framework-resolving-trade-off-between-speed-and-accuracy-in-switching-power-analysis-duke-synopsys/">GPU-Accelerated Differentiable Framework Resolving Trade-off Between Speed and Accuracy in Switching Power Analysis (Duke, Synopsys)</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>