ACA at TU München

Flashcards and summaries for ACA at the TU München

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Definition Computer Architecture

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Example of Processor "Knights Landing"

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What are metrics to assess performance?
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What is Wall-Clock Time/elapsed time?

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What is CPU Time?

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Techniques for performance evaluation?

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What kind of parallel Hardware is there?
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What is a parallel computer?

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What are concurrent tasks?

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Temporal locality:

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Spatial locality?
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Reliability?

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Exemplary flashcards for ACA at the TU München on StudySmarter:

ACA

Definition Computer Architecture
In computer science and engineering, computer architecture is the practical art of selecting and interconnecting hardware components to create computers that meet functional, performance and cost goals; and the formal modelling of those systems

ACA

Example of Processor "Knights Landing"
MIC (Many Integrated Cores) architecture which is targeted at highly parallel, high throughput workload. Massive Thread parallelism. Massive data parallelism, high memory bandwidth

ACA

What are metrics to assess performance?
Execution time of a program, MFLOPS, Storage Capacity, Throughput, Graphics resolution, MIPS

ACA

What is Wall-Clock Time/elapsed time?
Latency of the execution, including wait time for disk access etc.

ACA

What is CPU Time?
Time when CPU is active (+User Time: for executing program, System Time (OS services)

ACA

Techniques for performance evaluation?
Hardware Characteristics, Benchmarking, Monitoring, Simulation, analytical Modeling

ACA

What kind of parallel Hardware is there?
RAID (multiple data disks); Multicore systems; Network interface

ACA

What is a parallel computer?
A computer which executes concurrent tasks in parallel

ACA

What are concurrent tasks?
Two tasks are concurrent if not dependent on each other

ACA

Temporal locality:
Addresses recently accessed will be accessed again in the near future with high probability

ACA

Spatial locality?
Addresses near to recently accesses address will be accessed in near future with high probability

ACA

Reliability?
Probability that a system is free of failures up to a certain time t

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