Very few organizations have enough iron to train a large language model in a reasonably short amount of time, and that is why most will be grabbing pre-trained models and then retraining the parameters in the models with much smaller datasets that are important to them. …
You know that climate change is a problem when a supercomputer to do short-term prediction of the formation of linear rainbands and the torrential downpours that they cause is 3.4X as powerful as the machines that do the day-to-day weather forecasting in a country. …
There may not be a lot of new systems on the November 2020 edition of the Top500 rankings of supercomputers, but there has been a bunch of upgrades and system tunings of machines that have been recently added, expanding their performance, as well as a handful of new machines that are interesting in their own right. …
There is a constant push and pull between budget and architecture in supercomputing, and the passing of time has not made anyone’s arms tired as yet on both sides of the bargaining table. …
Supercomputers are designed for a number of big jobs that can only be done by massively powerful machinery, and one of those jobs has been the modeling of chemical compounds and biological systems, often in concert to model diseases and to help find cures for them. …
When originally conceived, Japan’s Post-K supercomputer was supposed to be the country’s first exascale system. …
When it comes to energy-efficient supercomputing, sometimes less is more. That was illustrated this week by Fujitsu with its A64FX prototype, which captured the top spot on the Green500 list. …
It has been eight years since Arm announced its intentions to enter the server arena. …
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