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Benjamin L. Fairchild

From Wikipedia, the free encyclopedia

Benjamin L. Fairchild, New York Congressman
Benjamin L. Fairchild, New York Congressman

Benjamin Lewis Fairchild (January 5, 1863 – October 25, 1946) was a U.S. Representative from New York.

Born in Sweden (near Rochester), Monroe County, New York, Fairchild attended the public schools of Washington, D.C., and a business college. He was graduated from the law department of Columbian University (now George Washington University Law School) at Washington, D.C., in 1885. He was admitted to the bar in 1885 and commenced practice in New York City. He was employed in the draftsman division of the United States Patent Office 1877-1879. He served as clerk in the Bureau of Engraving and Printing 1879-1885.

Fairchild was elected as a Republican to the Fifty-fourth Congress (March 4, 1895 – March 3, 1897). He unsuccessfully contested the election of William L. Ward to the Fifty-fifth Congress. He resumed the practice of law in New York City.

Fairchild was elected to the Sixty-fifth Congress (March 4, 1917 – March 3, 1919). He was an unsuccessful candidate for reelection in 1918 to the Sixty-sixth Congress.

Fairchild was again elected to the Sixty-seventh Congress (March 4, 1921 – March 3, 1923). He was an unsuccessful candidate for reelection in 1922 to the Sixty-eighth Congress, but was subsequently elected to that Congress to fill the vacancy caused by the death of James V. Ganly. He was reelected to the Sixty-ninth Congress and served from November 6, 1923, to March 3, 1927. He was an unsuccessful candidate for reelection in 1926 to the Seventieth Congress.

He resumed the practice of law in New York City. He died in Pelham Manor, New York, October 25, 1946. He was interred in Woodlawn Cemetery, Bronx, New York City.

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  • ✪ How Computers Calculate - the ALU: Crash Course Computer Science #5
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Transcription

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, you’ll 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 we’re 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 we’ll 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 we’ll talk about those later. Today, we’re going to focus on the pièce de résistance, 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 only “true” when the inputs are 1 AND 1, because that's the only time when the result (two) is bigger than 1 bit can store… and conveniently we have a gate for that! An AND gate, which is only true when both inputs are true, so we’ll 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 abstraction… heh… 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 we’re 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 before – but 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 we’ll 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 we’re 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-ahead’ adder 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 gates – which 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 performs… well... logical operations, like AND, OR and NOT, which we’ve 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 thing… but 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. We’ll 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, we’ll 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, we’ll 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. We’re 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.

References

  • United States Congress. "Benjamin L. Fairchild (id: F000004)". Biographical Directory of the United States Congress.

External links

U.S. House of Representatives
Preceded by
William Ryan
Member of the U.S. House of Representatives
from New York's 16th congressional district

March 4, 1895 – March 3, 1897
Succeeded by
William L. Ward
Preceded by
Woodson R. Oglesby
Member of the U.S. House of Representatives
from New York's 24th congressional district

March 4, 1917 – March 3, 1919
Succeeded by
James V. Ganly
Preceded by
James V. Ganly
Member of the U.S. House of Representatives
from New York's 24th congressional district

March 4, 1921 – March 3, 1923
Succeeded by
James V. Ganly
Preceded by
James V. Ganly
Member of the U.S. House of Representatives
from New York's 24th congressional district

November 6, 1923 – March 3, 1927
Succeeded by
James M. Fitzpatrick

 This article incorporates public domain material from the Biographical Directory of the United States Congress website http://bioguide.congress.gov.

This page was last edited on 28 May 2019, at 23:51
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