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Laboratory data-acquisition capabilities of microcomputer high-level languages.

R L Sing¹, S W McGeorge, E D Salin

¹Department of Chemistry, McGill University, Montreal, Quebec, Canada.

|October 1, 1983

Summary

This summary is machine-generated.

This study compares high-level programming languages for microcomputer data acquisition. It evaluates which languages offer the best efficiency and precision for these critical tasks.

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Area of Science:

Computer Science
Data Acquisition Systems
Software Engineering

Background:

Microcomputers are increasingly used for scientific data acquisition.
The choice of programming language significantly impacts system performance.
Evaluating language efficiency and precision is crucial for reliable data collection.

Purpose of the Study:

To compare the efficiency and precision of various high-level languages.
To identify optimal programming languages for microcomputer-based data acquisition.
To provide guidance for developers selecting software for data collection.

Main Methods:

Comparative analysis of programming language performance.
Benchmarking data acquisition programs written in different high-level languages.
Measurement of execution speed and data accuracy across languages.

Main Results:

Specific high-level languages demonstrated superior efficiency in data processing.
Certain languages offered higher precision, reducing data errors.
Performance varied significantly based on language features and compiler optimizations.

Conclusions:

The selection of a high-level language is critical for efficient and precise microcomputer data acquisition.
Developers should consider language-specific performance metrics when designing data collection systems.
Further research could explore low-level language comparisons or specialized hardware integration.