1.1.2: Types of Processor Flashcards

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1
Q

What are the basics of Complex Instruction Set Computers (CISC)?

A
  • A large instruction set
  • Aim to try and accomplish tasks in as few lines of Assembly Code as possible
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2
Q

Where are the instructions in Complex Instruction Set Computers (CISC)?

A
  • Built onto the hardware
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3
Q

Why are Complex Instruction Set Computers (CISC) not as common?

A
  • CISC were the early standard processor but with time got replaced by RISC design
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4
Q

Where are Complex Instruction Set Computers (CISC) used now?

A
  • More in microcontrollers and embedded systems
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5
Q

What are the basics of Reduced Instruction Set Computers (RISC)?

A
  • A small instruction set
  • Each instruction is approximately one line of Machine Code and takes one Clock cycle
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6
Q

What is the difference between CISC and RISC when it comes to compilers?

A
  • CISC: The compiler has to do less work to translate high level code into Machine Code
  • RISC: The compiler has to do more work to translate high level code into Machine Code
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7
Q

What is the difference between CISC and RISC when it comes to RAM?

A
  • CISC: Less RAM is required since code is shorter
  • RISC: More RAM is required to store the code
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8
Q

What is the difference between CISC and RISC?

A
  • CISC: Many specialised instructions are made, even though only a few of them are used
  • RISC: Pipelining is possible since each instruction takes one Clock cycle
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8
Q

What are the similarities and differences between Multi-core CPUs and Parallel Systems?

A
  • Multi-core CPUs have multiple independent cores that can complete instructions which results in higher performance
  • Parallel systems accomplish a similar task, however instead of requiring multiple cores they can complete tasks with a single core, by using threading
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9
Q

What kind of processor are GPUs?

A
  • A type of co-processor: A secondary processor designed to supplement the activities of the primary processor
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10
Q

What is the Graphics Processing Unit?

A
  • A device that, unlike CPUs, has lots of independent processors which work in parallel making it very efficient at completing repetitive tasks such as image processing and machine learning
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11
Q

Do Multi-core or Parallel Systems perform better in larger projects?

A
  • Generally Multi-core Systems perform better
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