Comment by dekhn
3 years ago
Science advances as RAM on a single machine increases.
For many years, genomics software was non-parallel and depending on having a lot of RAM- often a terabyte or more- to store data in big hash tables. Converting that to distributed computing was a major effort and to this day many people still just get a Big Server With Lots of Cores, RAM, and SSD.
Personally after many years of working wiht distributed, I absolutely enjoy working on a big fat server that I have all to myself.
> Science advances as RAM on a single machine increases.
Also as people learn that correlation does not equal causation. ;)
On the other hand in science, it sure is annoying that the size of problems that fit in a single node is always increasing. PARDISO running on a single node will always be nipping at your heels if you are designing a distributed linear system solver...