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Registers and RAM: Crash Course Computer Science #6
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- Hi, I’m Carrie Anne and welcome to Crash Course Computer Science. So last episode, using just logic gates, we built a simple ALU, which performs arithmetic
- and logic operations, hence the ‘A’ and the ‘L’. But of course, there’s not much point in calculating a result only to throw it away
- - it would be useful to store that value somehow, and maybe even run several operations in a row. That's where computer memory comes in!
- If you've ever been in the middle of a long RPG campaign on your console, or slogging through a difficult level on Minesweeper on your desktop, and your dog came by, tripped
- and pulled the power cord out of the wall, you know the agony of losing all your progress. Condolences.
- But the reason for your loss is that your console, your laptop and your computers make use of Random Access Memory, or RAM, which stores things like game state - as long as
- the power stays on. Another type of memory, called persistent memory, can survive without power, and it’s
- used for different things; We'll talk about the persistence of memory in a later episode. Today, we’re going to start small - literally by building a circuit that can store one..
- single.. bit of information. After that, we’ll scale up, and build our very own memory module, and we’ll combine
- it with our ALU next time, when we finally build our very own CPU! INTRO
- All of the logic circuits we've discussed so far go in one direction - always flowing forward - like our 8-bit ripple adder from last episode.
- But we can also create circuits that loop back on themselves. Let’s try taking an ordinary OR gate, and feed the output back into one of its inputs
- and see what happens. First, let’s set both inputs to 0.
- So 0 OR 0 is 0, and so this circuit always outputs 0. If we were to flip input A to 1.
- 1 OR 0 is 1, so now the output of the OR gate is 1. A fraction of a second later, that loops back around into input B, so the OR gate sees that
- both of its inputs are now 1. 1 OR 1 is still 1, so there is no change in output.
- If we flip input A back to 0, the OR gate still outputs 1. So now we've got a circuit that records a “1” for us.
- Except, we've got a teensy tiny problem - this change is permanent! No matter how hard we try, there’s no way to get this circuit to flip back from a 1
- to a 0. Now let’s look at this same circuit, but with an AND gate instead.
- We'll start inputs A and B both at 1. 1 AND 1 outputs 1 forever.
- But, if we then flip input A to 0, because it’s an AND gate, the output will go to 0. So this circuit records a 0, the opposite of our other circuit.
- Like before, no matter what input we apply to input A afterwards, the circuit will always output 0. Now we’ve got circuits that can record both 0s and 1s.
- The key to making this a useful piece of memory is to combine our two circuits into what is called the AND-OR Latch.
- It has two inputs, a "set" input, which sets the output to a 1, and a "reset" input, which resets the output to a 0.
- If set and reset are both 0, the circuit just outputs whatever was last put in it. In other words, it remembers a single bit of information!
- Memory! This is called a “latch” because it “latches onto” a particular value and stays that way.
- The action of putting data into memory is called writing, whereas getting the data out is called reading.
- Ok, so we’ve got a way to store a single bit of information! Great!
- Unfortunately, having two different wires for input – set and reset – is a bit confusing. To make this a little easier to use, we really want a single wire to input data, that we
- can set to either 0 or 1 to store the value. Additionally, we are going to need a wire that enables the memory to be either available
- for writing or “locked” down --which is called the write enable line. By adding a few extra logic gates, we can build this circuit, which is called a Gated Latch
- since the “gate” can be opened or closed. Now this circuit is starting to get a little complicated.
- We don’t want to have to deal with all the individual logic gates... so as before, we’re going to bump up a level of abstraction, and put our whole Gated Latch circuit in a box
- -- a box that stores one bit. Let’s test out our new component!
- Let’s start everything at 0. If we toggle the Data wire from 0 to 1 or 1 to 0, nothing happens - the output stays at 0.
- That’s because the write enable wire is off, which prevents any change to the memory. So we need to “open” the “gate” by turning the write enable wire to 1.
- Now we can put a 1 on the data line to save the value 1 to our latch. Notice how the output is now 1.
- Success! We can turn off the enable line and the output stays as 1.
- Once again, we can toggle the value on the data line all we want, but the output will stay the same.
- The value is saved in memory. Now let’s turn the enable line on again use our data line to set the latch to 0.
- Done. Enable line off, and the output is 0.
- And it works! Now, of course, computer memory that only stores one bit of information isn’t very
- useful -- definitely not enough to run Frogger. Or anything, really.
- But we’re not limited to using only one latch. If we put 8 latches side-by-side, we can store 8 bits of information like an 8-bit number.
- A group of latches operating like this is called a register, which holds a single number, and the number of bits in a register is called its width.
- Early computers had 8-bit registers, then 16, 32, and today, many computers have registers that are 64-bits wide.
- To write to our register, we first have to enable all of the latches. We can do this with a single wire that connects to all of their enable inputs, which we set to 1.
- We then send our data in using the 8 data wires, and then set enable back to 0, and the 8 bit value is now saved in memory.
- Putting latches side-by-side works ok for a small-ish number of bits. A 64-bit register would need 64 wires running to the data pins, and 64 wires running to
- the outputs. Luckily we only need 1 wire to enable all the latches, but that’s still 129 wires.
- For 256 bits, we end up with 513 wires! The solution is a matrix!
- In this matrix, we don’t arrange our latches in a row, we put them in a grid. For 256 bits, we need a 16 by 16 grid of latches with 16 rows and columns of wires.
- To activate any one latch, we must turn on the corresponding row AND column wire. Let’s zoom in and see how this works.
- We only want the latch at the intersection of the two active wires to be enabled, but all of the other latches should stay disabled.
- For this, we can use our trusty AND gate! The AND gate will output a 1 only if the row and the column wires are both 1.
- So we can use this signal to uniquely select a single latch. This row/column setup connects all our latches with a single, shared, write enable wire.
- In order for a latch to become write enabled, the row wire, the column wire, and the write enable wire must all be 1.
- That should only ever be true for one single latch at any given time. This means we can use a single, shared wire for data.
- Because only one latch will ever be write enabled, only one will ever save the data -- the rest of the latches will simply ignore values on the data wire because they are not
- write enabled. We can use the same trick with a read enable wire to read the data later, to get the data
- out of one specific latch. This means in total, for 256 bits of memory, we only need 35 wires - 1 data wire, 1 write
- enable wire, 1 read enable wire, and 16 rows and columns for the selection. That’s significant wire savings!
- But we need a way to uniquely specify each intersection. We can think of this like a city, where you might want to meet someone at 12th avenue
- and 8th street -- that's an address that defines an intersection. The latch we just saved our one bit into has an address of row 12 and column 8.
- Since there is a maximum of 16 rows, we store the row address in a 4 bit number. 12 is 1100 in binary.
- We can do the same for the column address: 8 is 1000 in binary. So the address for the particular latch we just used can be written as 11001000.
- To convert from an address into something that selects the right row or column, we need a special component called a multiplexer -- which is the computer component with a pretty cool
- name at least compared to the ALU. Multiplexers come in all different sizes, but because we have 16 rows, we need a 1 to
- 16 multiplexer. It works like this.
- You feed it a 4 bit number, and it connects the input line to a corresponding output line. So if we pass in 0000, it will select the very first column for us.
- If we pass in 0001, the next column is selected, and so on. We need one multiplexer to handle our rows and another multiplexer to handle the columns.
- Ok, it’s starting to get complicated again, so let’s make our 256-bit memory its own component. Once again a new level of abstraction!
- It takes an 8-bit address for input - the 4 bits for the column and 4 for the row. We also need write and read enable wires.
- And finally, we need just one data wire, which can be used to read or write data. Unfortunately, even 256-bits of memory isn’t enough to run much of anything, so we need
- to scale up even more! We’re going to put them in a row.
- Just like with the registers. We’ll make a row of 8 of them, so we can store an 8 bit number - also known as a byte.
- To do this, we feed the exact same address into all 8 of our 256-bit memory components at the same time, and each one saves one bit of the number.
- That means the component we just made can store 256 bytes at 256 different addresses. Again, to keep things simple, we want to leave behind this inner complexity.
- Instead of thinking of this as a series of individual memory modules and circuits, we’ll think of it as a uniform bank of addressable memory.
- We have 256 addresses, and at each address, we can read or write an 8-bit value. We’re going to use this memory component next episode when we build our CPU.
- The way that modern computers scale to megabytes and gigabytes of memory is by doing the same thing we’ve been doing here -- keep packaging up little bundles of memory into larger, and
- larger, and larger arrangements. As the number of memory locations grow, our addresses have to grow as well.
- 8 bits hold enough numbers to provide addresses for 256 bytes of our memory, but that’s all. To address a gigabyte – or a billion bytes of memory – we need 32-bit addresses.
- An important property of this memory is that we can access any memory location, at any time, and in a random order.
- For this reason, it’s called Random-Access Memory or RAM. When you hear people talking about how much RAM a computer has - that's the computer’s memory.
- RAM is like a human’s short term or working memory, where you keep track of things going on right now - like whether or not you had lunch or paid your phone bill.
- Here’s an actual stick of RAM - with 8 memory modules soldered onto the board. If we carefully opened up one of these modules and zoomed in, The first thing you would see
- are 32 squares of memory. Zoom into one of those squares, and we can see each one is comprised of 4 smaller blocks.
- If we zoom in again, we get down to the matrix of individual bits. This is a matrix of 128 by 64 bits.
- That’s 8192 bits in total. Each of our 32 squares has 4 matrices, so that’s 32 thousand, 7 hundred and 68 bits.
- And there are 32 squares in total. So all in all, that’s roughly 1 million bits of memory in each chip.
- Our RAM stick has 8 of these chips, so in total, this RAM can store 8 millions bits, otherwise known as 1 megabyte.
- That’s not a lot of memory these days -- this is a RAM module from the 1980’s. Today you can buy RAM that has a gigabyte or more of memory - that’s billions of bytes
- of memory. So, today, we built a piece of SRAM - Static Random-Access Memory – which uses latches.
- There are other types of RAM, such as DRAM, Flash memory, and NVRAM. These are very similar in function to SRAM, but use different circuits to store the individual
- bits -- for example, using different logic gates, capacitors, charge traps, or memristors. But fundamentally, all of these technologies store bits of information in massively nested
- matrices of memory cells. Like many things in computing, the fundamental operation is relatively simple.. it’s the
- layers and layers of abstraction that’s mind blowing -- like a russian doll that keeps getting smaller and smaller and smaller.
- I’ll see you next week. Credits
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