Back to marketplace

1.1.2 Types of processors

No description yet. This curated deck is ready for daily study.

Total cards: 6•Content version: v4•Public deck•Updated: 8/1/2026

Card preview (6)

#1
Front (Question)

1.1.2 A what are the two types of processors

Back (Answer)

cisc - complex instruction set computer risc - reduced instruction set computer

#2
Front (Question)

cisc vs risc

Back (Answer)

risc - small instruction set - each instruction approx 1 line of machine code - complier has to do more work to translate - more RAM required - pipelining possible as one instruction takes one clock cycle cisc - large instruction set - aims to complete in few lines of assembly code - instructions built into hardware - complier has to do less - less ram > shorter code - many specialised instructions

#3
Front (Question)

1.1.2 B how do gpu work why good ? other uses ?

Back (Answer)

co processor - additional processor for a specific task purpose is to improve speed as executed along side main cpu gpu have many cores used to process parallel streams of data at same time not only graphical data good for doing simple operations a lot on large data sets good for rendering as needs to lots of calculations for cords and colours , huge calculations done in parallel other uses - linear algebra, oil exploration. machine learning and weather modelling cpu are general purpose processors gpu specifically for graphics

#4
Front (Question)

1.1.2 C explain multicore systems.

Back (Answer)

single chip containing two+ processing units they are able to distribute workload to achieve higher performance multicore each have their own fde cycle but its dependent if the software is able to take advantage of parallel processing

#5
Front (Question)

1.1.2 C) How can mc systems be further enhanced

Back (Answer)

on chip cache and intercore communications

#6
Front (Question)

1.1.2 C explain parallel systems

Back (Answer)

divide instructions between cores Each core can handle a different task simultaneously, allowing for better utilization of resources and faster execution of programs. limited by the task and programs use of parallel processing