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41 Terms
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abstraction
A method used to hide unneeded or complex details of a problem or idea
Found in lecture Chapter 3 - Hardware 1
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von Neumann Architecture
Computer architecture with four subsystems:1) Memory2) Input/Output Devices (I/O)3) ALU4) ControlTwo characteristics:1) Instructions are stored like data2) Instructions are executed sequentially
Found in lecture Chapter 3 - Hardware 2
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RAM
Random Access Memory.Memory is divided into cells. Each cell (aka minimum unit of access) is associated with an address. A standard cell width is 8 bits (1 byte). Must always access ENTIRE cell, even if you just want 1 bit.
Found in lecture Chapter 3 - Hardware 1 and zyBook Section 3.2
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ROM
Read Only Memory. ROM holds important system instructions and data such as the START UP instructions for a computer (aka firmware). Usually info has been prerecorded during manufacture.
Found in lecture Chapter 3 - Hardware 1
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volatile memory
Information disappears without power, e.g., RAM and cache (lose data on power loss)
Found in lecture Chapter 3 - Hardware 1 and zyBook Section 3.3
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non-volatile memory
Information preserved without power, e.g., ROM, disc, flash
Found in lecture Chapter 3 - Hardware 1 and zyBook Section 3.3
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cache
Stores DATA from a slower device to be accessed faster. On-chip memory used to decrease memory access times. Works because of locality.
- SMALL (on order of few megabytes) because it's expensive. - FAST (5-10x faster than RAM)
We use cache to decrease memory access time.
Found in lecture Chapter 3 - Hardware 2 and zyBook Section 3.3
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cache hit
When requested data is found in cache
Found in lecture Chapter 3 - Hardware 2
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cache hit rate/ratio
Probability a data request will be a cache hit. In other words, the % of time that the info needed is in cache memory.
INCREASE cache hit ratio -> DECREASE overall memory access time.
- Good to know: Cache hit ratio CHANGES as system executes: - Decreases as we move from one locality to another. - Increases as we stay in the same locality (if cache is big enough to hold locality).
Found in lecture Chapter 3 - Hardware 2
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cache miss
When requested data is not found in cache
Found in lecture Chapter 3 - Hardware 2
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What can we do to increase cache hit ratio?
- Increase size of cache (can store more, small cache size can yield 75% hit ratio).
- Be smarter about what to put in the cache (Studies show 98% of process time is spent in localities. If OS can be smarter about what to put in cache -> increase hit ratio)
Found in lecture Chapter 3 - Hardware 2
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memory cell
Fixed sized unit of memory. Standard size = 8 bits = 1 byte
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address
Unique identifier for a memory cell.
Address space = MAX # of possible addresses.
Example question: Suppose RAM addresses are N bits. How many memory cells can theoretically exist?2^N.
If 16 bit ADDRESS, how many cells could exist in memory? 65,536 (64K).
Found in lecture Chapter 3 - Hardware 1
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register
Stores VALUES that are BEING USED during processing.
Special high speed storage cell that holds something specific. Note: registers are not designed for general purposes like other types of memory (e.g., cache, ram)
Found in lecture Chapter 3 - Hardware 3
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ALU
Arithmetic Logic Unit. Performs math and logical operations (e.g., addition, subtraction, comparisons, and, or, not)
Found in lecture Chapter 3 - Hardware 2 and zyBook Section 3.2
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control unit
Component of processor that FETCES, DECODES, and EXECUTES instructions.
Found in lecture Chapter 3 - Hardware 2 and zyBook Section 3.2
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processor
ALU + control unit
Found in lecture Chapter 3 - Hardware 2 and zyBook Section 3.2
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interrupt
An input signal to the processor indicating an event that needs immediate attention. Alerts the processor and serves as a request for the processor to interrupt the currently executing code, so that the event can be processed in a timely manner.
Found in lecture Chapter 3 - Hardware 3
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Moore's Law
Since the invention of the IC (integrated circuit) around 1960, IC's have doubled in circuit capacity about every 1.5 or 2 years.
Found in lecture Chapter 3 - Hardware 2 and zyBook Section 3.7
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truth table
One way to describe the behavior of a combinational circuit, listing the output value for every possible combination of input values.
Found in lecture Chapter 3 - Circuits 1 and zyBook Section 3.1
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transistor
a device with no mechanical/moving parts that can be OFF or ON
Found in lecture Chapter 3 - Circuits 2 and zyBook Section 3.7
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tautology
A Boolean expression that is always true. Example: (A OR B) OR (NOT A)
Found in lecture Chapter 3 - Circuits 1
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circuit
a collection of logic gates that transforms a set of binary inputs into a set of binary outputs.
Found in lecture Chapter 3 - Circuits 1 and zyBook Section 3.1
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gate
an electronic device with 1+ transistors that operates on a set of binary inputs to produce a binary output.
Found in lecture Chapter 3 - Circuits 1 and zyBook Section 3.1
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boolean expression
an expression that evaluates to either true or false
Found in lecture Chapter 3 - Circuits 1
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boolean logic
An area of mathematics dealing with rules for manipulating true and false
Found in lecture Chapter 3 - Circuits 1
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computer
a device that: 1) Takes input. 2) Processes the input in some way. 3) Produces output (a result).
Found in lecture Chapter 3 - Hardware 1
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von Neumann Bottleneck
- As CPU speeds have increased, CPU idle time has increased (due to waiting for data to be fetched from memory).
- Needs significant changes to computer architecture to handle larger problems.
Found in lecture Chapter 3 - Hardware 2
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Two key issues with von Neumann architectures and how we might solve them
TWO ISSUES:
1. Inability to place circuits closer together on a chip. Moore's Law is slowing down! Slow down in processor speed while our problems to be solve are getting larger!-> Solution: Parallel Processing (multi-processor). "If you can't build something to work twice as fast, build it to do two things at once. The results will be identical".
2. Slow speed to access memory.-> Solution: adding a cache helps. Adding multi-threading helps. Adding new types of RAM (e.g., DDR SDRAM) helps. But NONE solve the full problem. No matter how fast a given CPU can work, it is limited by the rate of memory transfer.
Found in lecture Chapter 3 - Hardware 2
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Memory vs. Disc
Discs are SLOW (order of magnitude slower than memory).
Solid state disc (SSD) are more common for discs now: - no moving part -> faster - more expensive $$$
Why not use SSD as RAM? - SSD are starting to get as fast as RAM, but SSDs wear out (would wear out fast if accessed it OFTEN, like we do with RAM). - SSDs optimized to act as a disc. RAM optimized to act as memory.
Found in lecture Chapter 3 - Hardware 2
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bootloader
Transfers OS from a pre-determined location into RAM. Jump to OS for system run.
Found in lecture Chapter 3 - Hardware 2
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The 4 basic instruction types
Data transfer: moves data to/from memory and I/O devices.
Set of all operations that can be executed by a processor. Set of all implemented opcodes.
Found in lecture Chapter 3 - Hardware 3
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address fields
Second part of machine instruction. Specifies which memory addresses are being operated on. (up to 3)
Found in lecture Chapter 3 - Hardware 3
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Operation code (opcode)
Opcode. First part of machine language instruction. Specifies which operation needs to be carried out (e.g., addition, store)
- If 2-bit OPCODE, how many different instructions are possible? Four (01 Input, 11 Add, 10 Output, 00 Stop).
- If 8 bit OPCODE? 2^N = 2^8 = 256 different instructions are possible.
Found in lecture Chapter 3 - Hardware 3
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machine language
Binary representation of program instructions. Each machine language instruction has 2 types of fields: 1. an opcode (specifies which operation needs to be carried out). 2. address fields (specifies what memory addresses are being operated on).
Found in lecture Chapter 3 - Hardware 3
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execute
Control unit action: Execute instruction by issuing appropriate command
Found in lecture Chapter 3 - Hardware 3
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decode
Control unit action: use OPCODE to determine what to do for an instruction.
Found in lecture Chapter 3 - Hardware 3
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fetch
Control unit action: fetch the next instruction from memory at address stored in PC (program counter).
Fetch gets value at an address (nondestructive fetch) - Value remains in memory - Load MAR, Decode MAR (fetch address; place in MDR) - return value in MDR