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Back in the 2010 timeframe, there were articles about how an Exascale Supercomputers might be impossible. Would be interesting if someone could go back and ass
by jmpman 4y ago
Back in the 2010 timeframe, there were articles about how an Exascale Supercomputers might be impossible. Would be interesting if someone could go back and assess where those predictions were wrong and where they held, and how the architecture changed to get around those true scaling limits.
- porcoda 4y agoPower efficiency mostly. The power requirements of an exascale machine with 2010-timeframe hardware would be crazy.
- peter303 4y agoOak Ridge still consumes 20 megawatts. However older technology was appearing to require a gigawatt.
- totallyblasted 4y agoThat really helps me appreciate the power efficiency gains! So much improvement in so short time...
- WanderPanda 4y agoBut unfortunately power efficiency of GPUs seems to be levelling off recently
- jmpman 4y agohttps://www.govinfo.gov/content/pkg/CHRG-113hhrg81195/pdf/CHRG-113hhrg81195.pdf https://www.govinfo.gov/content/pkg/CHRG-113hhrg81195/pdf/CH... This was a governmental report on the challenges of Exascale. Contributors included major universities and all the US supercomputing facilities. It wasn’t that they overlooked the possibility of Moore’s law continuing and associated power reduction.
- jmpman 4y agohttps://www.olcf.ornl.gov/2021/10/18/exascale-computings-four-biggest-challenges-and-how-they-were-overcome/ https://www.olcf.ornl.gov/2021/10/18/exascale-computings-fou... Just found the article which explains the gains. Mostly GPU. A billion processors doing a billion fips each.