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  • Hi, I’m Carrie Ann and this is Crash Course Computer Science.

  • So last episode, we talked about how numbers can be represented in binary. Representing

  • Like, 00101010 is 42 in decimal.

  • Representing and storing numbers is an important function of a computer, but the real goal is computation,

  • or manipulating numbers in a structured and purposeful way, like adding two numbers together.

  • These operations are handled by a computer’s Arithmetic and Logic Unit,

  • but most people call it by its street name: the ALU.

  • The ALU is the mathematical brain of a computer.

  • When you understand an ALU’s design and function, youll understand a fundamental

  • part of modern computers. It is THE thing that does all of the computation in a computer,

  • so basically everything uses it.

  • First though, look at this beauty.

  • This is perhaps the most famous ALU ever, the Intel 74181.

  • When it was released in 1970, it was

  • It was the first complete ALU that fit entirely inside of a single chip -

  • Which was a huge engineering feat at the time.

  • So today were going to take those Boolean logic gates we learned about last week

  • to build a simple ALU circuit with much of the same functionality as the 74181.

  • And over the next few episodes well use

  • this to construct a computer from scratch. So it’s going to get a little bit complicated,

  • but I think you guys can handle it.

  • INTRO

  • An ALU is really two units in one -- there’s an arithmetic unit and a logic unit.

  • Let's start with the arithmetic unit, which is responsible for handling all numerical operations in a

  • computer, like addition and subtraction. It also does a bunch of other simple things like

  • add one to a number, which is called an increment operation, but well talk about those later.

  • Today, were going to focus on the pièce desistance, the crème de la crème of

  • operations that underlies almost everything else a computer does - adding two numbers together.

  • We could build this circuit entirely out of

  • individual transistors, but that would get confusing really fast.

  • So instead as we talked about in Episode 3 – we can use a high-level of abstraction and build our components

  • out of logic gates, in this case: AND, OR, NOT and XOR gates.

  • The simplest adding circuit that we can build takes two binary digits, and adds them together.

  • So we have two inputs, A and B, and one output, which is the sum of those two digits.

  • Just to clarify: A, B and the output are all single bits.

  • There are only four possible input combinations.

  • The first three are: 0+0 = 0

  • 1+0 = 1 0+1 = 1

  • Remember that in binary, 1 is the same as true, and 0 is the same as false.

  • So this set of inputs exactly matches the boolean logic of an XOR gate, and we can use it as

  • our 1-bit adder.

  • But the fourth input combination, 1 + 1, is a special case. 1 + 1 is 2 (obviously)

  • but there’s no 2 digit in binary, so as we talked about last episode, the result is

  • 0 and the 1 is carried to the next column. So the sum is really 10 in binary.

  • Now, the output of our XOR gate is partially correct - 1 plus 1, outputs 0.

  • But, we need an extra output wire for that carry bit.

  • The carry bit is onlytruewhen the inputs are 1 AND 1, because that's the only

  • time when the result (two) is bigger than 1 bit can storeand conveniently we have

  • a gate for that! An AND gate, which is only true when both inputs are true, so

  • well add that to our circuit too.

  • And that's it. This circuit is called a half adder. It’s

  • It's not that complicated - just two logic gates - but let’s abstract away even this level

  • of detail and encapsulate our newly minted half adder as its own component, with two

  • inputs - bits A and B - and two outputs, the sum and the carry bits.

  • This takes us to another level of abstractionheh… I feel like I say that a lot.

  • I wonder if this is going to become a thing.

  • Anyway, If you want to add more than 1 + 1

  • were going to need a “Full Adder.” That half-adder left us with a carry bit as output.

  • That means that when we move on to the next column in a multi-column addition,

  • and every column after that, we are going to have to add three bits together, no two.

  • A full adder is a bit more complicated - it

  • takes three bits as inputs: A, B and C. So the maximum possible input is 1 + 1 + 1,

  • which equals 1 carry out 1, so we still only need two output wires: sum and carry.

  • We can build a full adder using half adders. To do this, we use a half adder to add A plus B

  • just like beforebut then feed that result and input C into a second half adder.

  • Lastly, we need a OR gate to check if either one of the carry bits was true.

  • That’s it, we just made a full adder! Again,we can go up a level of abstraction and wrap

  • up this full adder as its own component. It takes three inputs, adds them, and outputs

  • the sum and the carry, if there is one.

  • Armed with our new components, we can now build a circuit that takes two, 8-bit numbers

  • Let’s call them A and B – and adds them together.

  • Let’s start with the very first bit of

  • A and B, which well call A0 and B0. At this point, there is no carry bit to deal

  • with, because this is our first addition. So we can use our half adder to add these

  • two bits together. The output is sum0. Now we want to add A1 and B1 together.

  • It's possible there was a carry from the previous addition of A0 and B0, so this time we need

  • to use a full adder that also inputs the carry bit. We output this result as sum1.

  • Then, we take any carry from this full adder, and run it into the next full adder that handles

  • A2 and B2. And we just keep doing this in a big chain until all 8 bits have been added.

  • Notice how the carry bits ripple forward to each subsequent adder. For this reason,

  • this is called an 8-bit ripple carry adder. Notice how our last full adder has a carry out.

  • If there is a carry into the 9th bit, it means the sum of the two numbers is too large to fit into 8-bits.

  • This is called an overflow.

  • In general, an overflow occurs when the result of an addition is too large to be represented by the number of bits you are using.

  • This can usually cause errors and unexpected behavior.

  • Famously, the original PacMan arcade game used 8 bits to keep track of what level you were on.

  • This meant that if you made it past level 255 – the largest number storablein 8 bits

  • to level 256, the ALU overflowed.

  • This caused a bunch of errors and glitches making the level unbeatable.

  • The bug became a rite of passage for the greatest PacMan players.

  • So if we want to avoid overflows, we can extend our circuit with more full adders, allowing

  • us to add 16 or 32 bit numbers. This makes overflows less likely to happen, but at the

  • expense of more gates. An additional downside is that it takes a little bit of time for

  • each of the carries to ripple forward.

  • Admittedly, not very much time, electrons move pretty fast, so were talking about billionths of a second,

  • but that’s enough to make a difference in today’s fast computers.

  • For this reason, modern computers use a slightly different adding circuit called a ‘carry-look-aheadadder

  • which is faster, but ultimately does exactly the same thing-- adds binary numbers.

  • The ALU’s arithmetic unit also has circuits for other math operations

  • and in general these 8 operations are always supported.

  • And like our adder, these other operations are built from individual logic gates.

  • Interestingly, you may have noticed that there are no multiply and divide operations.

  • That's because simple ALUs don’t have a circuit for this, and instead just perform a series of additions.

  • Let’s say you want to multiply 12 by 5.

  • That’s the same thing as adding 12 to itself 5 times. So it would take 5 passes through

  • the ALU to do this one multiplication. And this is how many simple processors,

  • like those in your thermostat, TV remote, and microwave, do multiplication.

  • It’s slow, but it gets the job done.

  • However, fancier processors, like those in your laptop or smartphone,

  • have arithmetic units with dedicated circuits for multiplication.

  • And as you might expect, the circuit is more complicated than addition -- there’s no

  • magic, it just takes a lot more logic gateswhich is why less expensive processors

  • don’t have this feature.

  • Ok, let’s move on to the other half of the ALU: the Logic Unit.

  • Instead of arithmetic operations, the Logic Unit performswell...

  • logical operations, like AND, OR and NOT, which weve talked about previously.

  • It also performs simple numerical tests, like checking if a number is negative.

  • For example, here’s a circuit that tests if the output of the ALU is zero.

  • It does this using a bunch of OR gates to see if any of the bits are 1.

  • Even if one single bit is 1, we know the number can’t be zero and then we use a final NOT gate to flip this

  • input so the output is 1 only if the input number is 0.

  • So that’s a high level overview of what makes up an ALU. We even built several of

  • the main components from scratch, like our ripple adder.

  • As you saw, it’s just a big bunch of logic gates connected in clever ways.

  • Which brings us back to that ALU you admired so much at the beginning of the episode.

  • The Intel 74181.

  • Unlike the 8-bit ALU we made today, the 74181 could only handle 4-bit inputs,

  • which means YOU BUILT AN ALU THAT’S LIKE

  • TWICE AS GOOD AS THAT SUPER FAMOUS ONE. WITH YOUR MIND! Well.. sort of.

  • We didn’t build the whole thingbut you get the idea.

  • The 74181 used about 70 logic gates, and it couldn’t multiply or divide.

  • But it was a huge step forward in miniaturization, opening the doors to more capable and less expensive computers.

  • This 4-bit ALU circuit is already a lot to take in,

  • but our 8-bit ALU would require hundreds of logic gates to fully build and engineers

  • don’t want to see all that complexity when using an ALU, so they came up with a special

  • symbol to wrap it all up, which looks like a big ‘V’. Just another level of abstraction!

  • Our 8-bit ALU has two inputs, A and B, each with 8 bits. We also need a way to specify what operation the ALU should perform,

  • for example, addition or subtraction.

  • For that, we use a 4-bit operation code.

  • Well talk about this more in a later episode, but in brief, 1000 might be the command

  • to add, while 1100 is the command for subtract. Basically, the operation code tells the ALU

  • what operation to perform. And the result of that operation on inputs A and B is an 8-bit output.

  • ALUs also output a series of Flags, which are 1-bit outputs for particular states and statuses.

  • For example, if we subtract two numbers, and the result is 0, our zero-testing circuit, the one we made earlier,

  • sets the Zero Flag to True (1). This is useful if we are trying to determine if two numbers are are equal.

  • If we wanted to test if A was less than B,

  • we can use the ALU to calculate A subtract B and look to see if the Negative Flag was set to true.

  • If it was, we know that A was smaller than B.

  • And finally, there’s also a wire attached to the carry out on the adder we built,

  • so if there is an overflow, well know about it. This is called the Overflow Flag.

  • Fancier ALUs will have more flags, but these three flags are universal and frequently used.

  • In fact, well be using them soon in a future episode.

  • So now you know how your computer does all its basic mathematical operations digitally

  • with no gears or levers required.

  • Were going to use this ALU when we construct our CPU two episodes from now.

  • But before that, our computer is going to need some memory! We'll talk about that next week.

Hi, I’m Carrie Ann and this is Crash Course Computer Science.

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コンピュータの計算方法 - ALU.クラッシュコース コンピュータサイエンス #5 (How Computers Calculate - the ALU: Crash Course Computer Science #5)

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    黃齡萱 に公開 2021 年 01 月 14 日
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