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Memories are
one of the most important and essential components in
computer systems. Whereas in these systems the main
issue is loading data and processing them, there is a
needed place to load this information on it: Memory.
So to
increase the speed of loading and processing this
information, thus increasing total speed of computer
systems, the speed of loading process and processors
should be increased. This is the reason of increasing
the speed and frequency of processors. But what about
loading issues? Loading places are memories so the speed
of memories should be increased like processors.
Many
different technologies are used to enhance this speed.
Double Data Rate, Dual and triple channel memories, etc.
all are some examples of these techniques. But even by
using these technologies, the most important factor in
this issue is frequency. It means however using highest
frequency is needed and we can not neglect this
improvement.
Nowadays
available semiconductor devices are based on CMOS
technology, and used material is silicon. Used memories
in computer systems are based on MOSFETs which are
fabricated using CMOS technology and silicon. RAM, Flash
memories, recently SSDs and etc all of them are made of
CMOS NAND based circuits. For example using NAND based
circuits in SSDs have made them as a very high speed
drives which have a very bright future. Even experts
believe that in early future current HDDs will be
replaced by SSDs.
On the other
hand, silicon has a limitation in increasing frequency.
Germanium and its compounds are known as a faster
semiconductor. But making CMOS technology is not
possible using these materials. Because silicon dioxide
has some unique features which other materials don’t
have. So stop using Germanium?!
No!
Scientists are working on germanium based devices. For
sure in the future we can see germanium based memories.
But the technology will be different to CMOS. For
example Resonant Tunneling Diode is a very high
frequency device. The speed of this device is not
comparable to CMOS transistors. Despite CMOS transistors
work in orders of Gigahertz, RTD works in orders of
Terahertz!
As frequency
increases, the device size should decrease too. But
while device dimension decreases to a few nanometers,
then electron behavior in this device differs. Electron
behavior should be calculated using quantum equations
not classic ones like MOSFETs or others. This phenomenon
happens in RTD, and this is the reason of naming this
device as a quantum device.
Memories
fabricated using RTD are very faster and smaller than
regular memories. Nowadays fabrication technology is 35
nm at least. So a Transistors size should be more than
70 nm. But RTD size is just 5 or 6 nm or something like
this. Even if fabrication devices improve, RTDs can be
fabricated smaller than this. And we should consider:
smaller means faster!
So quantum
based memories will catch computer world in the future
and an evolution is going to occur in computer
industries. Flash memories, RAM, SSDs, and even
processors and used caches in them will change. Even
processor itself will be changed, silicon goes and
germanium comes… Quantum world, small and fast devices,…
as small as some electron, and as fast as … what you
think? |