In Part 1 of this two-part post, I looked at some of the existing and possible avenues for computer architecture research relating to tracking uncertainty in computations, using the blackscholes benchmark from the PARSEC suite of computer architecture research benchmark applications as a working example. In this post, I’ll outline some existing and possible future paths for computer architects in computation with uncertainty. Just as architectural support and microarchitectural implementations of floating-point number representations improved the ease of implementation of real-valued computations, architectural and microarchitectural support for representations of uncertainty could enable new approaches to trustworthy computation on empirical data.

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