9.1. Unit 9. Implementing Combinational Functions with Karnaugh Maps or Memories

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1 . Unit Implementing Combinational Functions with Karnaugh Maps or Memories

2 . Outcomes I can use Karnaugh maps to synthesize combinational functions with several outputs I can determine the appropriate size and contents of a memory to implement any logic function (i.e. truth table)

3 . A new way to synthesize your logic functions KARNAUGH MAPS

4 . Logic Function Synthesis Given a function description as a T.T. or canonical form, how can we arrive at a circuit implementation or equation (i.e. perform logic synthesis)? First method Minterms / maxterms Can simplify to find minimal -level implementation Use "off-the-shelf" decoder + gate per output New, second method Karnaugh Maps Minimal -level implementation (though not necessarily minimal -, -, level implementation)

5 . Gray Code Different than normal binary ordering Reflective code When you add the (n+) th bit, reflect all the previous n-bit combinations Consecutive code words differ by only -bit differ by only -bit when you move to the next bit, reflect the previous combinations differ by only -bit -bit Gray code differ by only -bit -bit Gray code

6 . Karnaugh Maps If used correctly, will always yield a minimal, - level implementation There may be a more minimal -level, -level, - level implementation but K-maps produce the minimal two-level (SOP or POS) implementation Represent the truth table graphically as a series of adjacent squares that allows a human to see where variables will cancel

7 . Karnaugh Map Construction Every square represents input combination Must label axes in Gray code order Fill in squares with given function values F=Σ XYZ (,,,) G=Σ YZ (,,,,,,,,,,) XY Z YZ Variable Karnaugh Map Variable Karnaugh Map

8 . Karnaugh Maps W X Y Z F YZ

9 . Karnaugh Maps Squares with a '' represent minterms Squares with a '' represent maxterms YZ Maxterm: w + x + y + z Maxterm: w + x + y + z Minterm: w x y z Minterm: w x y z

10 . Karnaugh Maps Groups of adjacent s will always simplify to smaller product term than just individual minterms XY Z F=Σ XYZ (,,,,) Variable Karnaugh Map

11 . Karnaugh Maps Groups of adjacent s will always simplify to smaller product term than just individual minterms F=Σ XYZ (,,,,) XY Z Variable Karnaugh Map = m + m + m + m = x y z + x yz + xyz + xy z = z (x y + x y + xy + xy ) = z (x (y +y) + x(y+y )) = z (x +x) = z = m + m = xy z + xy z = xy (z +z) = xy

12 . Karnaugh Maps Adjacent squares differ by -variable This will allow us to use T = AB + AB = A or T = (A+B )(A+B) = A Variable Karnaugh Map Variable Karnaugh Map Difference in X: & XY x yz + xyz Z = yz Difference in Y: & x yz + x y z = x z = = = = Difference in Z: & x yz + x yz = x y Adjacent squares differ by -bit YZ = = = = = Adjacent squares differ by -bit

13 . Karnaugh Maps adjacent s (or s) differ by only one variable adjacent s (or s) differ by two variables,, adjacent s (or s) differ by,, variables By grouping adjacent squares with s (or s) in them, we can come up with a simplified expression using T (or T for s) w x y z + w x y z + w x y z + w x y z = w z w z are constant while all combos of x and y are present (x y, x y, xy, xy) YZ (w +x +y+z) (w +x +y+z ) = (w +x +y) w x y z + w x y z = w y z

14 . K-Map Grouping Rules Cover the 's [=on-set] or 's [=off-set] with as few groups as possible, but make those groups as large as possible Make them as large as possible even if it means "covering" a (or ) that's already a member of another group Make groups of,,,,... and they must be rectangular or square in shape. Wrapping is legal

15 . Group These K-Maps XY Z YZ XY Z

16 . Karnaugh Maps YZ Cover the remaining with the largest group possible even if it reuses already covered s

17 . Karnaugh Maps Groups can wrap around from: Right to left Top to bottom Corners YZ YZ F = X Z + Z F = X Z

18 . Group This YZ

19 . K-Map Translation Rules When translating a group of s, find the variable values that are constant for each square in the group and translate only those variables values to a product term Grouping s yields SOP When translating a group of s, again find the variable values that are constant for each square in the group and translate only those variable values to a sum term Grouping s yields POS

20 . Karnaugh Maps (SOP) W X Y Z F YZ F =

21 . Karnaugh Maps (SOP) W X Y Z F Y YZ F = Y

22 . Karnaugh Maps (SOP) W X Y Z F YZ Z W F = Y + W Z +

23 . Karnaugh Maps (SOP) W X Y Z F YZ Z X F = Y + W Z + X Z X

24 . Karnaugh Maps (POS) W X Y Z F YZ F =

25 . Karnaugh Maps (POS) W X Y Z F Y,Z YZ F = (Y+Z)

26 . Karnaugh Maps (POS) W X Y Z F Y YZ F = (Y+Z)(W +X +Y)

27 . Karnaugh Maps Groups can wrap around from: Right to left Top to bottom Corners Z YZ X X Z YZ X X Z Z Z F = X Z + Z F = X Z

28 . Exercises YZ YZ F SOP = F POS = P= XYZ (,,,) P=

29 . No Redundant Groups YZ

30 . Multiple Minimal Expressions For some functions, multiple minimal expressions (multiple minimal groups) exist Pick one YZ Pick either one

31 . If time permits FORMAL TERMINOLOGY FOR KMAPS

32 . Terminology Implicant: A product term (grouping of s) that covers a subset of cases where F= the product term is said to imply F because if the product term evaluates to then F= Prime Implicant: The largest grouping of s (smallest product term) that can be made Essential Prime Implicant: A prime implicant (product term) that is needed to cover all the s of F

33 . Implicant Examples W X Y Z F YZ An implicant Not PRIME because not as large as possible

34 . Implicant Examples W X Y Z F YZ An implicant Not PRIME because not as large as possible An implicant

35 . Implicant Examples W X Y Z F YZ An implicant Not PRIME because not as large as possible An implicant An essential prime implicant An essential prime implicant (largest grouping possible, that must be included to cover all s)

36 . Implicant Examples W X Y Z F An essential prime implicant YZ An implicant Not PRIME because not as large as possible An implicant An essential prime implicant An essential prime implicant (largest grouping possible, that must be included to cover all s)

37 . Implicant Examples W X Y Z F An essential prime implicant A prime implicant, but not an ESSENTIAL implicant because it is not needed to cover all s in the function YZ An implicant Not PRIME because not as large as possible An implicant An essential prime implicant An essential prime implicant (largest grouping possible, that must be included to cover all s)

38 . Implicant Examples W X Y Z F An implicant, but not a PRIME implicant because it is not as large as possible (should expand to combo s and ) YZ An essential prime implicant (largest grouping possible, that must be included to cover all s) An essential prime implicant

39 . K-Map Grouping Rules Make groups (implicants) of,,,,... and they must be rectangular or square in shape. Include the minimum number of essential prime implicants Use only essential prime implicants (i.e. as few groups as possible to cover all s) Ensure that you are using prime implicants (i.e. Always make groups as large as possible reusing squares if necessary)

40 - & -VARIABLE KMAPS.

41 . -Variable K-Map If we have a -variable function we need a -square KMap. Will an x matrix work? Recall K-maps work because adjacent squares differ by -bit How many adjacencies should we have for a given square?!! But drawn in dimensions we can t have adjacencies. V YZ

42 . -Variable Karnaugh Maps To represent the adjacencies of a -variable function [e.g. f(v,w,x,y,z)], imagine two x K-Maps stacked on top of each other Adjacency across the two maps YZ These are adjacent YZ Traditional adjacencies still apply (Note: v is constant for that group and should be included) => v xy Adjacencies across the two maps apply (Now v is not constant) => w xy V= V= F = v xy + w xy

43 . -Variable Karnaugh Maps adjacencies for -variables (Stack of four x maps) YZ Group of Not adjacent YZ U,V=, U,V=, YZ YZ Group of U,V=, U,V=,

44 DON'T CARE OUTPUTS.

45 . Don t-cares Sometimes there are certain input combinations that are illegal (i.e. in BCD, can never occur) The outputs for the illegal inputs are don t-cares The output can either be or since the inputs can never occur Don t-cares can be included in groups of or groups of when grouping in K-Maps Use them to make as big of groups as possible Use 'Don't care' outputs as wildcards (e.g. the blank tile in Scrabble TM ). They can be either or whatever helps make bigger groups to cover the ACTUAL 's

46 . Combining Functions Given intermediate functions F and F, how could you use AND, OR, NOT to make G Notice certain F,F combinations never occur in G(x,y,z) what should we make their output in the T.T. X Y Z F F G X Y Z F F G F F G

47 . Don t Care Example D D D D GT d d d d d d DD DD DD d d d d d d DD d d d d d d GT SOP = GT POS =

48 . Don t Care Example D D D D GT d d d d d d DD DD DD d d d d d d DD d d d d d d GT SOP = GT POS =

49 . Don t Cares W X Y Z F d d d d d d YZ d d d d d d F = Z + Y Reuse d s to make as large a group as possible to cover,, & Use these d s to make a group of

50 . Don t Cares W X Y Z F d d d d d d YZ d d d d d d F = Y+Z You can use d s when grouping s and converting to POS

51 . Designing Circuits w/ K-Maps Given a description Block Diagram Truth Table K-Map for each output bit (each output bit is a separate function of the inputs) -bit unsigned decrementer (Z = X-) If X[:] = then Z[:] =, etc. X[:] -bit Unsigned Decrementer Z[:]

52 . -bit Number Decrementer X X X Z Z Z X X X X X X X X X Z = X X + X X + X X X Z = X X + X X Z = X

53 . Squaring Circuit Design a combinational circuit that accepts a -bit number and generates an output binary number equal to the square of the input number. (B = A ) Using bits we can represent the numbers from to. The possible squared values range from to. Thus to represent the possible outputs we need how many bits?

54 . -bit Squaring Circuit Inputs Outputs A A A A B B B B B B B=A AA A B = AA AA A B = AA + AA AA A B = A

55 . -bit Squaring Circuit A A A B B B B B B

56 . USING MEMORIES TO BUILD COMBINATIONAL CIRCUITS

57 . Dimensions and Operations MEMORY BASICS

58 . Memories Memories store (write) and retrieve (read) data Read-Only Memories (ROM s): Can only retrieve data (contents are initialized and then cannot be changed) Read-Write Memories (RWM s): Can retrieve data and change the contents to store new data

59 . ROM s Memories are just tables of data with rows and columns When data is read, one entire row of data is read out The row to be read is selected by putting a binary number on the address inputs A A A Address Inputs ROM Data Outputs D D D D

60 . ROM s Example Address = dec. = bin. is provided as input ROM outputs data in that row ( bin.) A A A ROM Address: = Data: Row is output D D D D

61 . Memory Dimensions Memories are named by their dimensions: Rows x Columns n rows and m columns => n x m ROM n rows => n address bits or k rows => log k address bits m cols => m data outputs A A A n- n - n - ROM... D m- D

62 . RWM s Writable memories provide a set of data inputs for write data (as opposed to the data outputs for read data) A control signal R/W (=READ / = WRITE) is provided to tell the memory what operation the user wants to perform Address Inputs Data Inputs A A A DI DI DI DI R/W x RWM Data Outputs DO DO DO DO

63 . RWM s Write example Address = dec. = bin. DI = dec. = bin. R/W = => Write op. Data in row is overwritten with the new value of bin. Address Inputs Data Inputs R/W A A A DI DI DI DI R/W x RWM DO DO DO DO Data Outputs????

64 . Look-up tables USING MEMORIES TO BUILD COMBINATIONAL FUNCTIONS

65 . Memories as Look-Up Tables One major application of memories in digital design is to use them as LUT s (Look-Up Tables) to implement logic functions This is the core technology used by FPGAs (Field- Programmable Gate Arrays) which are used pervasively in robotics, space applications, networking, and even in search engines Idea: Use a memory to hold the truth table of a function and feed the inputs of the function to the address inputs to "look-up" the answer

66 . Implementing Functions w/ Memories x Memory x Memory X Y Z F Z Y X A A A X,Y,Z inputs look up the correct answer A A A Arbitrary Logic Function D F D Use a memory with the same dimensions as 'output' side of the truth table. It's almost TOO easy.

67 . Implementing Functions w/ Memories x Memory x Memory X Y Z C S Z Y X A A A A A A Multi-bit function (One's count) D C D S ++ = D D Use a memory with the same dimensions as 'output' side of the truth table. It's almost TOO easy.

68 . -bit Squaring Circuit Q: What size memory would you use to build our -bit squaring circuit? A: x memory Q: What would you connect to the address inputs of the memory? A: A[:] Q: What bits would you program into row of the memory? A: (i.e. = ) Inputs Outputs A A A A B B B B B B B=A

69 . x Multiplier Example Determine the dimensions of the memory that would be necessary to implement a x-bit unsigned multiplier with inputs X[:] and Y[:] and outputs P[??:] A A A A A A ROM Question: How many bits are needed for P? Question: What are the contents of the numbered rows? A A... Example: X X X X = Y Y Y Y = P = X * Y = * = = P

70 . x Multiplier Example Determine the dimensions of the memory that would be necessary to implement a x-bit unsigned multiplier with inputs X[:] and Y[:] and outputs P[??:] Question: How many bits are needed for P? Question: What are the contents of the numbered rows? Y Y Y Y X X X X A A A A A A A A... ROM Example: X X X X = Y Y Y Y = P = X * Y = * = = P P

71 . Implementing Functions w/ Memories To implement a function w/ n-variables and m outputs Just place the output truth table values in the memory Memory will have dimensions: n rows and m columns Still does not scale terribly well (i.e. n-inputs requires memory w/ n outputs) But it is easy and since we can change the contents of memories it allows us to create "reconfigurable" logic This idea is at the heart of FPGAs

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