Coverage is My Friend

 

‘Tis the Season of Sharing (in Parallel)

It is once again that time of the year when I panic. What gifts, for whom, do they even need them, what if I don’t, etc.  I am naturally always on the lookout for some good advice and so I asked my friend to share some wisdom. “I give everybody the gift of coverage of course”, he replied slightly raising his eyebrow as if to remind me to refrain from asking the obvious. “Everybody needs it even if they don’t know it yet, and if they don’t get it, there will always be a hole in their lives.” I nodded in thoughtful agreement while at the same wondering whether the gifts of coverage end up piling up in the equivalent of my garage somewhere, or whether people have the patience to go through the many levels of wrapping to extract its true value. I was still thinking about this when I entered the UPS office where I had to pick up an undelivered package and I somewhat irritated noticed that there was a line at the counter. Of course, it is December and shipping companies are in high gear, kind of like computers in the month before tape-out. They need to collect all the packages, sort them and then distribute them to the appropriate destination. Similarly, coverage data needs to be collected, merged, processed and reports sent to the appropriate stakeholders. Just like processing the incoming packages needs to be done simultaneously at multiple locations, coverage data from the many regressions runs needs to be merged in parallel to prevent the entire verification process to slow down to a snail’s speed (no punt to snail mail maliciously intended). So while the speed with which coverage data is produced retains its critical importance, the speed with which the coverage data is collected and merged should not be overlooked lest it becomes the frightening bottleneck. The key of course is to efficiently parallelize the process so this season when you share my friend’s gift, don’t forget to ask your shipping company woops I mean Verification vendor, how to do it in parallel!

With that, my friend and I would like to thank you for reading this blog, wish you the happiest of holidays and hope to see you back in the New Year!

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