What is value-based acceleration:Conventional accelerators rely mostly on the structure of computation, that is, which calculations are performed and how they communicate. Value-based accelerators further boost performance by taking advantage of expected properties in the runtime calculated value stream, such as, dynamically redundant or ineffectual computations, or the distribution of values, or even their bit content. In short, our accelerator designs, reduce the amount of work that needs to be performed for existing neural models and do so transparently to the model designer.