New 3D Chip Combines Computing, Data Storage

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By Indo-Asian News Service | Updated: 6 July 2017 18:14 IST
Highlights
  • New chip uses multiple nanotechnologies to reverse data bottleneck
  • 3D architecture promises to address the communication "bottleneck"
  • The architecture features interleaving layers of logic and memory

Photo Credit: MIT

At a time when computer chips' ability to process a glut of data is slowing, researchers, including one of Indian origin, have developed a three dimensional (3D) chip to tackle the situation.

Computers today comprise a chip for computing and another for data storage. As increased volumes of data are analysed, the limited rate at which data can be moved between the chips is creating a communication "bottleneck".

The new prototype chip, detailed in the journal 'Nature', uses multiple nanotechnologies, together with a new 3D computer architecture, to reverse this trend.

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"The new 3D computer architecture provides dense and fine-grained integration of computing and data storage, drastically overcoming the bottleneck from moving data between chips," said Subhasish Mitra, Professor at Stanford University.

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The researchers integrated over one million resistive random-access memory (RRAM) cells, a new type of memory storage, and two million carbon nanotube transistors for processing, making a dense 3D computer architecture with interleaving layers of logic and memory.

By inserting ultra-dense wires between these layers, the 3D architecture promises to address the communication "bottleneck".

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"Logic made from carbon nanotubes can be an order of magnitude more energy-efficient compared to today's logic made from silicon and, similarly, RRAM can be denser, faster and more energy-efficient," added Philip Wong from Stanford.

A big advantage to the find is that the new chip is compatible with today's silicon infrastructure, both in terms of fabrication and design.

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"The technology could not only improve traditional computing, but it also opens up a whole new range of applications that we can target," said Max Shulaker, Assistant Professor at Massachusetts Institute of Technology.

 

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