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Moore’s Law Going Strong?

 Some current and coming relevant
          technologies.
Molecular chips
Single Molecule Chips
• Chip constructed atom by atom of carefully
  arranged atoms
• Missing atoms in lattice determine logic
• Some designs use the full molecule for
  computation, some only surface level
• 1000 of these fit inside conventional circuit
• Much lower power per function
Nvidia 10 teraflops processor
• Graphics chip enabling exascale computing
   – Very handy for brain emulation among other things
   – Targeted for 2018 completion
• graphics core that can process a floating point
  operation using just 10 picojoules of power
   – Picojoules in current Fermi chips
   – 1000 cores
Nanoscale light sensors
• Critical to optical interconnect of nanoscale
  computational components
• Connection to atom scale components
  – Single molecules, quantum dot interconnect
• Device < 4 nm wide
• Can be tuned electrically to different color
  sensitivity
  – Tie this to per neuron colored light signalling?
Racetrack memory
• Shock proof permanent storage 100,000 times
  faster than hard disks
• Contains millions to billions of nanowires
• Racetrack-equipped computers would boot up
  instantly
• Nearly 3 orders of magnitude less power use
  than RAM, much less hard disk
Racetrack Memory
Graphene Transistors
• Multi-transistor functionality possible per
  transitor
• 10-10000 times faster than best silicon
  transistors
• Behavior of graphene transistor can be
  changed on the fly
  – Triple mode N, P, and neutral
     • Enables operation as amplifier changing frequency and
       phase of signal
Quantum Dot Memory
• 1 TB per cm2
   – Extremely high density
• Non-volatile
   – Longer life (MTMF) than HD
      • Up to 1 million years!!
• > 100 faster than DRAM
   – < 10 ns
• Nanotube memory is contender
   – But apparent manufacturing problems of high yield sufficiently
     pure nanotubes
   – Stable in vacuum and in presence of high ionizing radiation
      • (great for space based systems)
Multicore -> Many Core
• 2 – 4 cores common
• 10 – 12 in pipeline
• Tilera has 100-core processor
  – 546 gigabit per second performance
• Huge software problem
  – New paradigm of programming?
  – Automated conversion code?
  – May need new operating system tech
3D chips
• Multiple layers of circuitry vertically interconnected into
  single chip
   – Vs 3D packaging which does not integrate into single device
• Heat dissipation issues
   – requires forced fluid cooling in denser circuits
• Benefits
   –   Smaller footprint
   –   Speed due to short wire lengths
   –   10 to 100 times less power
   –   Potentially cheaper fabrication
   –   Higher connectivity
   –   Heterogeneous integration

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Moore's Law Going Strong? Relevant Emerging Technologies

  • 1. Moore’s Law Going Strong? Some current and coming relevant technologies.
  • 3. Single Molecule Chips • Chip constructed atom by atom of carefully arranged atoms • Missing atoms in lattice determine logic • Some designs use the full molecule for computation, some only surface level • 1000 of these fit inside conventional circuit • Much lower power per function
  • 4. Nvidia 10 teraflops processor • Graphics chip enabling exascale computing – Very handy for brain emulation among other things – Targeted for 2018 completion • graphics core that can process a floating point operation using just 10 picojoules of power – Picojoules in current Fermi chips – 1000 cores
  • 5. Nanoscale light sensors • Critical to optical interconnect of nanoscale computational components • Connection to atom scale components – Single molecules, quantum dot interconnect • Device < 4 nm wide • Can be tuned electrically to different color sensitivity – Tie this to per neuron colored light signalling?
  • 6. Racetrack memory • Shock proof permanent storage 100,000 times faster than hard disks • Contains millions to billions of nanowires • Racetrack-equipped computers would boot up instantly • Nearly 3 orders of magnitude less power use than RAM, much less hard disk
  • 8. Graphene Transistors • Multi-transistor functionality possible per transitor • 10-10000 times faster than best silicon transistors • Behavior of graphene transistor can be changed on the fly – Triple mode N, P, and neutral • Enables operation as amplifier changing frequency and phase of signal
  • 9. Quantum Dot Memory • 1 TB per cm2 – Extremely high density • Non-volatile – Longer life (MTMF) than HD • Up to 1 million years!! • > 100 faster than DRAM – < 10 ns • Nanotube memory is contender – But apparent manufacturing problems of high yield sufficiently pure nanotubes – Stable in vacuum and in presence of high ionizing radiation • (great for space based systems)
  • 10. Multicore -> Many Core • 2 – 4 cores common • 10 – 12 in pipeline • Tilera has 100-core processor – 546 gigabit per second performance • Huge software problem – New paradigm of programming? – Automated conversion code? – May need new operating system tech
  • 11.
  • 12. 3D chips • Multiple layers of circuitry vertically interconnected into single chip – Vs 3D packaging which does not integrate into single device • Heat dissipation issues – requires forced fluid cooling in denser circuits • Benefits – Smaller footprint – Speed due to short wire lengths – 10 to 100 times less power – Potentially cheaper fabrication – Higher connectivity – Heterogeneous integration

Editor's Notes

  1. http://www.technologyreview.com/communications/26612/?mod=related
  2. EETimes - Nvidia&apos;s chief scientist gave attendees at Supercomputing 2010 a sneak peak of a future graphics chip that will power an exascale computer.
  3. http://www.news.pitt.edu/news/Levy_Nanophotonics
  4. http://www.newscientist.com/article/dn13426-quantum-dot-memory-may-be-holy-grail-of-computing.html