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Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Craig S. Lent University of Notre Dame Molecular QCA and the limits.

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Presentation on theme: "Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Craig S. Lent University of Notre Dame Molecular QCA and the limits."— Presentation transcript:

1 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Craig S. Lent University of Notre Dame Molecular QCA and the limits of binary switching logic Supported by NSF, State of Indiana Collaborators: Peter Kogge, Mike Niemier, Greg Snider, Patrick Fay, Marya Lieberman, Thomas Fehlner, Alex Kandel

2 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame The Dream of Molecular Transistors Why don’t we keep on shrinking transistors until they are each a single molecule?

3 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Molecular Transistors Where’s the benefit of small? Where do you put the next device?

4 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Dream molecular transistors V off low conductance state V high conductance state on I 1 nm f max =1 THz Molecular densities: 1nm x 1nm  10 14 /cm 2

5 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Transistors at molecular densities Suppose in each clock cycle a single electron moves from power supply (1V) to ground. V

6 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Transistors at molecular densities Suppose in each clock cycle a single electron moves from power supply (1V) to ground. V Frequency (Hz) 10 14 devices/cm 2 10 13 devices/cm 2 10 12 devices/cm 2 10 11 devices/cm 2 10 12 16,000,0001,600,000160,00016,000 10 11 1,600,000160,00016,0001,600 10 160,00016,0001,600160 10 9 16,000160016016 10 8 1600160161.6 10 7 160161.60.16 10 6 161.60.160.016 Power dissipation (Watts/cm 2 ) ITRS roadmap: 7nm gate length, 10 9 logic transistors/cm 2 @ 3x10 10 Hz for 2016

7 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Transistors at molecular densities Suppose in each clock cycle a single electron moves from power supply (1V) to ground. V dd Frequency (Hz) 10 14 devices/cm 2 10 13 devices/cm 2 10 12 devices/cm 2 10 11 devices/cm 2 10 12 16,000,0001,600,000160,00016,000 10 11 1,600,000160,00016,0001,600 10 160,00016,0001,600160 10 9 16,000160016016 10 8 1600160161.6 10 7 160161.60.16 10 6 161.60.160.016 Power dissipation (Watts/cm 2 ) ITRS roadmap: 7nm gate length, 10 9 logic transistors/cm 2 @ 3x10 10 Hz for 2016

8 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame The Dream of Molecular Transistors

9 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Molecular electronics requirements 1)Low power dissipation 2)Real power gain 3)Robustness to disorder Benefit: functional densities at molecular scale

10 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Outline Introduction QCA paradigm Implementations –Metal-dot QCA –Molecular QCA Energy flow in QCA –Power gain –Power dissipation and erasure –Bennett clocking

11 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Quantum-dot cellular automata Represent binary information by charge configuration of cell. “0”“null”“1” QCA cell Dots localize charge Two mobile charges Tunneling between dots Clock signal varies relative energies of “active” and “null” dots active Clock need not separately contact each cell.

12 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame “null” Quantum-dot cellular automata Neighboring cells tend to align in the same state. “1”

13 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Quantum-dot cellular automata Neighboring cells tend to align in the same state. “1”

14 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Quantum-dot cellular automata Neighboring cells tend to align in the same state. “1” This is the COPY operation.

15 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Majority Gate “1” “0” “null”

16 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Majority Gate “1” “0” “1”

17 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Majority Gate Three input majority gate can function as programmable 2-input AND/OR gate. “A” “C” “B” “out” M A B C

18 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Inverter Gate “1”

19 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Inverter Gate “1” “0”

20 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Inverter Gate “1”

21 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Inverter Gate “0”

22 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Inverter Gate “0” “1”

23 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame QCA single-bit full adder Hierarchical layout and design are possible. result of SC-HF calculation with site model

24 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Adiabatic computing (Landauer) “null”“0” 0 0

25 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Characteristic energy E=0 kink E=E k We would like “kink energy” E k > k B T. energy

26 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Molecular Wire ONIOM/STO-3G (Gaussian 03) aligned error Energy E k = 0.8 eV

27 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Outline Introduction QCA paradigm Implementations –Metal-dot QCA –Molecular QCA Energy flow in QCA –Power gain –Power dissipation and erasure –Bennett clocking

28 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame QCA devices exist “dot” = metal island electrometers 70 mK Al/AlO x on SiO 2 Metal-dot QCA implementation Greg Snider, Alexei Orlov, and Gary Bernstein

29 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Metal-dot QCA cells and devices Majority Gate M A B C Amlani, A. Orlov, G. Toth, G. H. Bernstein, C. S. Lent, G. L. Snider, Science 284, pp. 289-291 (1999).

30 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame QCA Shift Register D1 D4

31 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame QCA Shift Register

32 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Metal-dot QCA devices exist Single electron analogue of molecular QCA Gates and circuits: –Wires –Shift registers –Fan-out –Power gain demonstrated –AND, OR, Majority gates Work underway to raise operating temperatures

33 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame From metal-dot to molecular QCA “dot” = metal island 70 mK Mixed valence compounds “dot” = redox center room temperature+ Metal tunnel junctions Key strategy: use nonbonding orbitals (  or d) to act as dots.

34 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame 4-dot molecule Each ferrocene acts as a quantum dot, the Co group connects 4 dots. Fehlner et al (Notre Dame chemistry group) Journal of American Chemical Society 125:7522, 2003 5.8 Å

35 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Bistable configurations “0” “1” Guassian-98 UHF/STO-3G/LANL2DZ Fehlner et al (Notre Dame chemistry group) Journal of American Chemical Society 125:7522, 2003

36 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Switching molecule by a neighboring molecule Coulomb interaction is sufficient to couple molecular states.

37 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Molecular 3-dot cell For the molecular cation, a hole occupies one of three dots. cation neutral radical + + Three allyl groups form “dots” on alkyl bridge.

38 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Charge configuration represents bit isopotential surfaces “1”“null” + “0”

39 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Clocking field “1” “0” null E E E or Use local electric field to switch molecule between active and null states. active “null”

40 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame “null” Clocking field alters response function “1” “0” E Clocking field positive (or zero) Positive charge in top dots Cell is active – nonlinear response to input Clocking field negative Positive charge in bottom dot Cell is inactive – no response to input

41 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Clocked Molecular QCA No current leads. No need to contact individual molecules. Active Domain Null Domain Switching Region

42 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Molecular clocking Clocking field is provided by buried wire electrodes (CMOS controlled). Wire sizes can be 10-100 times larger than molecules. Hennessey and Lent, JVST (2001) QCA layer lockednullactive

43 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Clocking field: linear motion

44 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Molecular circuits and clocking wires Plan view of buried clocking wires region where perpendicular field is high pushing cells into active state

45 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Molecular circuits and clocking wires molecular circuits are on a much smaller length scale (10 –100x)

46 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Molecular circuits and clocking wires First: zoom in to molecular level

47 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Field-clocking of QCA wire: shift-register

48 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Computational wave: majority gate

49 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Computational wave: adder back-end

50 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame XOR Gate

51 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Permuter

52 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Wider QCA wires Internal redundancy yields defect tolerance.

53 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Molecular circuits and clocking wires Next: zoom out to dataflow level

54 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Universal floorplan Kogge & Niemier

55 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Outline Introduction QCA paradigm Implementations –Metal-dot QCA –Molecular QCA Energy flow in QCA –Power gain –Power dissipation and erasure –Bennett clocking

56 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Power Gain in QCA Cells Power gain is crucial for practical devices because some energy is always lost between stages. Lost energy must be replaced. –Conventional devices – current from power supply –QCA devices – from the clock Unity power gain means replacing exactly as much energy as is lost to environment. Power gain > 3 has been measured in metal-dot QCA.

57 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Maxwell’s demon (1875) – by first measuring states, could perform reversible processes to lower entropy Szilard (1929), Brillouin (1962): measurement causes k B T log(2) dissipation per bit. Landauer (1961,1970): only erasure of information must cause dissipation of k B T log(2) per bit. Bennett (1982): full computation can be done without erasure. logical reversibility  physical reversibility Minimum energy for computation

58 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Theoretical description Coherence vector formalism Extract the real degrees of freedom from the density matrix system environment Equation of motion

59 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Computational wave: adder back-end

60 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame The computational wave Computation happens here. Dissipation (if any) happens here.

61 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Landauer clocking of QCA

62 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Bennett-style circuit reversibility Energy/E k k B T log(2) reversibleirreversible Direct time-dependent calculations shows: Logically reversible circuit can dissipate much less than k B T log(2).

63 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame “Bennett clocking” of QCA Output is used to erase intermediate results.

64 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Bennett clocking of QCA For QCA no change in layout is required.

65 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame QCA gate: reversible/irreversible Direct time-dependent calculations shows: Bennett- clocked circuit can dissipate much less than k B T log(2). Energy/E k k B T log(2) reversible irreversible Bennett clocked Same layout

66 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Power dissipation limits QCA can operate at the theoretical limits of low power dissipation. For regular clocking: must dissipate k B T log(2) for each erased bit. For Bennett-clocking: no fundamental lower limit. Cost: half clock speed, more complicated clocking. Makes extreme high densities possible—clocking type is in design space.

67 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Doesn’t adiabatic mean slow? Slow compared to what? –For conventional circuits,  < RC –For molecular QCA, slow compared to electron switching from one side of a molecule to the other f < f B ~ 10 15 Hz  THz operation is feasible

68 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame QCA Power Dissipation QCA architectures could operate at densities 10 12 devices/cm 2 and 100GHz without melting the chip. QCA Operation Region 100 W/cm 2 @10 12 devices/cm 2

69 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Outline Introduction QCA paradigm Implementations –Metal-dot QCA –Molecular QCA Energy flow in QCA –Power gain –Power dissipation and erasure –Bennett clocking

70 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Is Zettaflops computing possible? Minimum device size: 1 nm x 1 nm  10 14 devices/cm 2 Maximum switching speed: 10 15 Hz Total chip area: 10 cm x 10 cm Maximum devices that could be switching = 10 14 x 10 15 x 10 2 = 10 31 switches/sec

71 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Is Zettaflops computing possible? Downgrade density 10 14  10 12 devices/cm 2 Downgrade speed 10 15 Hz  10 12 Hz Total chip area: 10 cm x 10 cm Gate op/flop 10 5  10 12 x 10 12 x 10 2 x 10 -5 = 10 21 FLOPS Possible…. but challenging

72 Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Main Points Quantum-dot Cellular Automata (QCA) is transistor-less approach for solving the challenges of –Scaling devices to molecular dimensions –Avoiding huge power dissipation issues –Power gain (lacking in crossbars) –Robustness against disorder QCA is an example of operating at the ultimate limits of low power dissipation. Direct calculation of the time evolution of QCA arrays illustrates the Landauer Principle. (no hand-waving required) QCA can be operated in a Bennett-clocking mode. Zettaflops operation is conceivable Thank you for your attention

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