The eight great ideas in computer architecture are similar to ideas from other f

Question

The eight great ideas in computer architecture are similar to ideas from other fields. Match the eight ideas from computer architecture,

Design for Moore's Law

Use Abstraction to Simplify Design

Make the Common Case Fast

Performance via Parallelism

Performance via Pipelining

Performance via Prediction

Hierarchy of Memories

Dependability via Redundancy

to the following ideas from other fields. Write your answer in the first column:

(2 pts each)

___

Domino’s pizza kitchen example from our lecture

__

Cables on the Golden Gate Bridge in San Francisco

__

Hurricane tracking models that use wind observations from a hurricane hunter aircraft

___

Metro bus express routes with limited stops

___

Textbooks pulled from the library stacks and from storage and placed in reserve by the instructor for a course

__

Sending some image calculations to a second core on your processor to reduce clock time.

_ _

Designing your new Ford engine factory around the next generation of Raspberry Pi vibration sensors so that you can monitor tool wear with machine learning instead of hourly manual tool measurements as a way to prevent quality problems in the engine manufacturing process.

__

Building self-driving cars that use existing systems like the engine, wheel control, cameras, lighting, collision detection, without redesigning everything from the beginning.

___

Domino’s pizza kitchen example from our lecture

__

Cables on the Golden Gate Bridge in San Francisco

__

Hurricane tracking models that use wind observations from a hurricane hunter aircraft

___

Metro bus express routes with limited stops

___

Textbooks pulled from the library stacks and from storage and placed in reserve by the instructor for a course

__

Sending some image calculations to a second core on your processor to reduce clock time.

_ _

Designing your new Ford engine factory around the next generation of Raspberry Pi vibration sensors so that you can monitor tool wear with machine learning instead of hourly manual tool measurements as a way to prevent quality problems in the engine manufacturing process.

__

Building self-driving cars that use existing systems like the engine, wheel control, cameras, lighting, collision detection, without redesigning everything from the beginning.

Explanation / Answer

Performance via Pipelining: Domino’s pizza kitchen Pipelining refers to the execution of sequential tasks as an assembly line. The tasks are subdivided into instructions, and multiple tasks are run at the same time by executing instructions in a parallel pattern. Performance via Parallelism: Cables on the Golden Gate Bridge in San Francisco Parallelism refers to the execution of instructions within a task in a parallel pattern rather than a sequential manner. Here, the cables are arranged in a parallel manner to provide strength and hold the bridge. Performance via Prediction: Hurricane tracking models that use wind observations from a hurricane hunter aircraft Prediction refers to a conditional execution of instructions, wherein the instruction to be executed next is decided based on certain conditions. Prediction is performed here, by recording observations from a hurricane hunter aircraft, and applying prediction models to analyze data. Make the Common Case Fast: Metro bus express routes with limited stops This refers to improving the performance of those cases where the system spends maximum time, rather than optimizing the outlier scenarios. Here the performance of the common case is enhanced.

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