Author Archives: chitlesh

Weights update process

The process of updating weights is one training iteration involving backpropagation. The latter can be broken down into 4 distinct steps: Forward pass In this first training step, the intention is to extract weight from the first pass of the training data into the neural network. Loss function The training loss (precision) is calculated from …

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Clock concurrent optimization

Since Cadence added Azuro’s ccopt by default in SOC Encounter, I think it is time to look deeper in this clock concurrent optimization. The latter was initiated by a company called Azuro which was then acquired by Cadence in July 2012. Clock concurrent optimization merges clock tree synthesis (CTS) with physical optimization, simultaneously building clocks …

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Why use path_adjust ?

path_adjust is used to either relax or tighten the timing constraints (even though defined by path_delay). e.g to relax the constraints by 100ps rc:>/ path_adjust -from [all_inputs] -to [all_outputs] -delay 100 -name pa_i2o e.g to tighten the constraints by 100ps rc:>/ path_adjust -from [all_inputs] -to $all_registers -delay 100 -name pa_i2r path_adjust is thus use to …

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