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From runs of standard benchmarks or benchmark suites, it is not possible to characterize the machine nor to predict the run time of other benchmarks which have not been run. A new approach to benchmarking and machine characterization is reported. The creation and use of a machine analyzer is described, which measures the performance of a given mach

Autor: NASA Technical Reports Server (NTRS)

Fuente: https://archive.org/


Introducción



NASA Contractor Report 177511 e Machine Characterization and Benchmark Performance Prediction Rafael H .
Saavedra-Barrera (brdSA-CB- 1775 11 1 l A C E I b i E CBlkACTEEIZATXOI Ah-6 BEICBBALiK PkR PCbW AlDCE P B P Z l C l l l C b i ( C a l i f o r a i a Criv.) 80 CONTRACT NCA2-128 December 1988 National Aeronautics and Space Administration E CSCL I2A 889-15648 NASA Contractor Report 17751 1 Machine Characterization and Benchmark Performance Prediction Rafael H.
Saavedra-Barrera University of California, Berkeley, California Prepared for Ames Research Center CONTRACT NCA2-128 December 1988 NASA NationalAeronautics and Space Administration Ames Research Center Moffett Feu,California 94035 I Table of Contents . . 2 .
L i m i t a t i o n s of Benchmarking . 2.1.
System Characterization versus Performance Evaluation . 2.2.
The Role of Experimentation in System Characterization . 3.
A Model for P e r f o r m a n c e E v a l u a t i o n . 3.1.
A Common Representation for Programs and Computer Systems . 1 Introduction . 3.3.
A Linear Model for Program Execution . 3.4.
Limitations of the Linear Model . 4 .
The S y s t e m Characterirer . 4.1.
Machine Implementation of Data Types . 3.2.
The Class of Systems Studied . 4.2.1.
Data Type Declarations . 4.2.2.
Expressions . 4.2.3.
Statement-Level Control Structures . 4.2.4.
Additional Parameters . 4.3. ...






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