# 1. Give the 16 bit signed (twos complement) representation of the following decimal numbers, and convert to hexadecimal:

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1 Exercises 1 - number representations Questions 1. Give the 16 bit signed (twos complement) representation of the following decimal numbers, and convert to hexadecimal: (a) 3012 (b) For each of the following bit strings: Which decimal number is represented, assuming the bit string is a signed integer? Which decimal number is represented, assuming the bit string is an unsigned integer? Convert the bit string to hexadecimal. (a) (b) Convert the following two decimal numbers to signed binary (twos complement). Be careful to choose enough bits. (a) 200 (b) Convert 0xff3e from hexadecimal to binary, treat this binary number as a signed integer, and convert it to decimal. 5. (a) Convert the decimal number -499 to signed binary (twos complement). (b) Convert 0xfc to binary, treat it as a signed integer, and convert to decimal. 6. (more challenging) Writing a positive integer in binary means expressing it as a sum of powers of 2: (b n 1 b n 2... b 2 b 1 b 0 ) 2 This representation makes sense for unsigned numbers. But what about signed numbers? How can we represent a signed number as a sum of powers of 2? Which powers of two are represented and what are the b i? 7. Convert to binary. n 1 i=0 b i 2 i last updated: 19 th Jan,

2 Exercises 1 - number representations 8. Represent the following two decimal numbers as single precision float. Show: a scientific notation representation the significand, exponent, and sign bits (32 bits total) a hexadecimal representation of these 32 bits (a) (b) (c) What are the largest and smallest positive, finite, normalized numbers that can be represented as IEEE single precision float? It is sufficient for you to write the answer using scientific notation. 10. Consider representing the set of consecutive numbers using: (a) 32 bit unsigned (b) 32 bit signed { 1, 2, 3, 4,..., n } (c) IEEE single precision floating point (a bit tricky) For each of these representations, what is the largest n such that every number in the above set can be represented, that is, no gaps between numbers? write this largest n using hexadecimal (rather than binary) 11. (a) Approximate the decimal number as a normalized binary number in scientific notation, with eight bits of significand. (b) Convert the decimal number into IEEE single precision floating point. Give your answer in hexadecimal. 12. (challenging, you need to consider various cases) (a) Consider two normalized floating point numbers f1 and f2 that are represented as IEEE single precision floats. This defines two 32-bit strings. Suppose f1 is less than f2, that is, f1 < f2. If the same two 32-bit strings were treated as unsigned integers (call them i1 and i2 respectively), can we conclude that i1 < i2? last updated: 19 th Jan,

3 Exercises 1 - number representations (b) Similar to (a), if the two 32 bit strings were treated as signed integers j1 and j2, could we conclude that j1 < j2? 13. The IEEE single precision floating point standard allows us to represent less than 2 32 different numbers. Of these numbers: (a) How many are strictly between 2 5 and 2 4? (b) How many are strictly between 2 13 and 2 14? (c) How many are strictly between 2 47 and 2 48? 14. (a) Write the following binary number as an IEEE single precision float: , that is, bits 10 repeating infinitely many times to the right of the binary point. (b) Convert from binary to decimal. (cute) last updated: 19 th Jan,

5 7. Note that Rather 5.75 = -(5.75). In the former case, you might have converted -5 to binary by saying (5) 10 = (101) 2 = (0101) 2 and then flipping the bits and adding 1 to get (1011) 2. You then might have converted.75 to binary as (.11) 2 and concluded the answer is ( ) which would be incorrect. The correct way to go is to write 5.75 in binary as , where we have added a high order 0 bit so that the number is positive when interpreted as a signed number. We then compute its negative by inverting the bits and adding.01 to get the answer Verify that adding this to 5.75 gives (a) Converting to binary gives or in scientific notation. Since the exponent is 3, the exponent code e is determined by e 127 = 3, and so the exponent code is the (unsigned) binary representation of 130 which is The sign bit is 0 since the number is positive. Writing as a string (sign bit, exponent, significand) gives which in hexadecimal is: 0x (b) Converting to binary is which is The sign bit is 1. The exponent code is the unsigned representation of 132 (since e 127 = 5). Thus the exponent code is The significand is Writing as a string (sign bit, exponent, significand) gives which in hexadecimal is: 0xc20ec000. (c) = e = = 133. So we have Re-group the bits to obtain: ( ) 2 = 0x42AD The largest exponent code is i.e. 254 (since is reserved). Thus, the largest exponent that can be represented is = 127. Thus, the largest (finite) float is The smallest exponent code for normalized numbers is (since is reserved). This exponent code has value 1 since it is treated as an unsigned number. Thus, the smallest exponent that can be represented is = 126. It follows that smallest (normalized positive) float is which is just (a) The largest unsigned is which in hex is 0xffffffff. (b) The largest signed is which in hex is 0x7fffffff. last updated: 19 th Jan,

6 (c) First, note that 1 to can all be represented exactly. Why? Because when you write out one of the those numbers in binary (as unsigned), you only need 24 bits. When you try to write any of these numbers in IEEE format, the most significant 1 bit isn t used because we are representing the numbers as normalized. So we have room for up to 23 bits, in the significand and we re ok. In particular, the number which has 24 1 s can be represented exactly. This number is Next, what about 2 24 = ( ) 2? Can it be written exactly? Yes, because it is just and I hope by now it is obvious that this can be written exactly in IEEE format, namely the exponent value is 24 and the significand is all 0 s. So, all the numbers from 1 to 2 24 can be represented exactly. What about = ( ) 2 = ( ) ? Can it be represented exactly? No it can t. Why not? Because there is only room for 23 bits in the significand and those bits would be the 23 0 s to the right of the binary point, and so we wouldn t be able to get in the 2 24 bit. Thus, the largest n is such that 1,..., n can be represented exactly in single precision IEEE format is (a) To approximate as a normalized binary number in scientific notation, we first convert the part to the left of the decimal point to binary. Converting 43 to binary is This is already close to the number of bits of significand that we need. At this time, you should suspect that the will not play a role in your answer. If you wish to verify this, you can try: (00008) 10 = (00016) = (00032) = (00064) but at this point we have our eight bits of significand. So, This is our answer = (b) First write the decimal number in normalized scientific notation: The significant is thus all 0 s. To code the exponent 3, we need x 127 = 3. Thus we need the 8-bit binary of x = 124, which is The sign bit is 0 (positive number), and the IEEE encoding is the last updated: 19 th Jan, ( ).

7 To convert to hexadecimal, we group into 4-tuples: and we get 0x3e (0011, 1110, 0000, 0000, 0000, 0000, 0000, 0000) 12. (a) No. As a counterexample, suppose that the most significant bit of f1 is 1 and the most significant bit of f2 is 0. Then f1 < f2 since the most significant bit is the sign bit: 1 is negative and 0 is positive. Treated as unsigned numbers (i1 and i2), however, the MSB s alone would imply that i1 > i2. Another way to see this is to consider the ordered list of all 2 32 possible words : : In the first half of these (MSB = 0), both the float and the int representing are increasing as we proceed down the list. Within the second half of these (MSB = 1), the float values are decreasing as we proceed down the list because the sign is negative and either the exponent or significand is decreasing. However the int values are increasing as we proceed down the list. Thus, within the second half, the ordering of the float values is opposite to the ordering of the int values. (b) No. Assume f1 < f2 and consider whether this implies j1 < j2. There are three cases. Only in the second case is j1 < j2. Note that once one of the cases fails, the proof is done, you have found a counterexample to the statement f1 < f2 implies j1 < j2. Case 1: the MSB s of both 32-bit numbers are 0 and so the float values are both positive. There can be two ways in which f1 < f2. The first is that the exponent of f1 is less than the exponent of f2. The second is if the exponent of f1 is equal to the exponent of f2, but the significand of f1 is less than that of f2. In either case, f1 < f2 implies that j1 < j2. (If you cannot see why, please see me or send me .) Case 2: the MSB s of both 32-bit numbers are 1. In this case, the float values are both negative (and the integers j1 and j2 are both negative). Since we are assuming f1 < f2 and both are negative, it follows that the absolute value of f1 must be greater than the absolute value of f2. From this, it follows that either the exponent of f1 is greater than the exponent of f2, or the exponent of f1 is equal to the exponent of f2 but the significand of f1 is greater than that of f2. In either case, it follows that j1 > j2. To see this, recall the argument from case 1, but notice that both ints are on the negative part of the circle. last updated: 19 th Jan,

8 Case 3: The MSB of one of f1 or f2 is 1 and the MSB of the other is 0. If f1 < f2, then there is only one for this to happen, namely that the MSB of f1 is 1 (f1 is negative) and the MSB of f2 is 0 (f2 is positive). In this case, if the numbers are interpreted as signed integers, then j1 would be negative (since MSB is 1) and j2 would be positive (since MSB is 0), and hence j1 < j For all three questions, the answer is different floating point numbers. For example, between 2 5 and 2 4 there are all the floating point numbers with = 122 = ( ) 2 as the exponent and 1 as the sign bit. Since there are 2 23 bits in the significand, and any setting of these produces a valid FPN, there are 2 23 different FPNs. We exclude the number with significand all 0 s, since this is the value Thus the solution last updated: 19 th Jan,

9 14. (a) = So, the sign bit is 0, the exponent code is 126 or ( ) two, and the 23 bit significand is So the 32 bits in the float and their corresponding hex representation are or 0x3f2aaaaa (b) There are different ways to crank out the answer. Here is one: = = ( ) = 1 2 (1 + a + a2 + a 3 + a 4 + )where a = 2 2 = 1 1, i.e.geometric series 2 (1 a) = 1 2 (4 3 ) = 2 3 last updated: 19 th Jan,

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