Attributes of the performance of central processing units: A relative performance prediction model

Phillip Ein-Dor; Jacob Feldmesser

doi:10.1145/32232.32234

Attributes of the performance of central processing units: A relative performance prediction model

Phillip Ein-Dor
, Jacob Feldmesser

Coller School of Management

Elta Electronics Industries Ltd.

Research output: Contribution to journal › Article › peer-review

72 Scopus citations

Abstract

Using readily available data on CPU characteristics—main memory size, cache memory size, number of channels, and machine cycle time—it is possible to predict relative CPU performance for a wide range of machines. Statistical analyses indicate that these characteristics explain virtually all the variance in relative performance.

Original language	English
Pages (from-to)	308-317
Number of pages	10
Journal	Communications of the ACM
Volume	30
Issue number	4
DOIs	https://doi.org/10.1145/32232.32234
State	Published - 1 Apr 1987

Keywords

CPU characteristics
Cache memory
channels
computer economics
cycle time
economics
memory
models
performance evaluation

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10.1145/32232.32234

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title = "Attributes of the performance of central processing units: A relative performance prediction model",

abstract = "Using readily available data on CPU characteristics—main memory size, cache memory size, number of channels, and machine cycle time—it is possible to predict relative CPU performance for a wide range of machines. Statistical analyses indicate that these characteristics explain virtually all the variance in relative performance.",

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KW - Cache memory

KW - channels

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KW - cycle time

KW - economics

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KW - models

KW - performance evaluation

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Attributes of the performance of central processing units: A relative performance prediction model

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Keywords

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