However, these advanced technologies are very expensive, costing $1 billion or more just to design a device for 3 nanometers. There is a good chance that 5 nanometer technology could come to market later this year or in 2021. While the path to 5 nanometers is becoming clear, getting to 3nm may require a new transistor architecture beyond today’s FinFETs, whether an evolved form of current architecture or new technologies such as nanosheets and nanowires. Process NodesĮven with the inherent limitations on process node improvement as we approach atomic scale, a shift to 5 nanometers, and likely 3 nanometers, should offer at least two more generations of substantial performance gains and energy efficiency. To push the bleeding edge of performance and efficiency will require new architectures and computing paradigms. These are significant obstacles, but they are simply the next chapter of engineering challenges that will bring exciting advances over the next decade.
This is due to several factors including the slowdown in Moore’s Law and technical constraints such as Dennard scaling.
New research shows that supercomputer performance doubled nearly every year from 2002 to 2009, but this rate dropped to every 2.3 years from 2009 to 2019. This is critical for the advancement of any number of use cases such as understanding the interactions underlying the science of weather, sub-atomic structures, genomics, physics, rapidly emerging artificial intelligence applications, and other important scientific fields.Įven so, the computing industry has fallen behind based on its historical rates of improvement. Recent announcements from the US Department of Energy for exascale computers represent the starting point for a new generation of computing advances. The IT industry has been pushing to new levels of high-end computing performance this is the dawn of the exascale era of computing.
In response, there is an insatiable demand for more advanced high performance computing to make this data useful. One thing is certain: The explosion of data creation in our society will continue as far as pundits and anyone else can forecast.
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