Computing capacity issues at Canadian Universities

The Globe and Mail for Wednesday, 03 February 2016 states that Canada is in dire straights as far as the states supercomputing capacity stands. The article states that we have trouble keeping up in both computing power and storage capacity, as both exponentially grow, putting a strain on resources.

A possible solution could be found in political ecconomy – make an international deal at a body like the United Nations (UN) for that one state to work on the issue while Canadians work on other issues. For me: But the computational capacity issue extends beyond environmental degredation; it also goes to genetics and other sciences.

One of the reasons I mentioned leaving it to other states is that if we pool resources with other countries, it won’t cost as much, but, should we spend the resources on our own sciences, the possibility exists that we recoup the cost. Permanancy is a problem, because of, as the article states, “the rapid turnover of digitall technology, and by the growing demand from researchers anxious to leverage the power of big data and hich-performance computing to make breakthroughs” (Semeniuk, A1).

The article states that universities rely on Compute Canada for limited govrnment dollars. This may be where a hybrid solution may come it handy. Given the number that each university graduates, it is conceivable that those graduates could supply the universities with grants in order to keep up with the changes in capacity. Unsure whether the idea has been touched on, the manufactures could provide a huge help if devices were manufactured in such a way so that we need not replace the entire technology, m instead erely a part such as the computer chip.

Reading further, the article supports my claims stating that “the digital bottleneck means the government is, in sine cases, paying for science that it can’t support” (ibid.). There is two methods that could be used to solve problems that the government “can’t support” (ibid.): either raise taxes or ask graduates for support, the latter being favourable as it doesn’t affect those without education. A hybrid of these two is also possible: using money from Compute Canada as well as grants from graduates.

Another political-economy-type solution to the problem of limited resources, should the above ideas not bear fruit, is to pick one university to poor the computational resources into on the condition that it share such with others who need them.

The issue is easy to solve if we put our heads together to create solutions.