Mainframes, Computing on Big Iron

Mainframes, Computing on Big Iron

by Patrick H. Stakem
Mainframes, Computing on Big Iron

Mainframes, Computing on Big Iron

by Patrick H. Stakem

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Overview

This book covers the topic of mainframe computers, the room-sized units that dominated and defined computing in the 1950's and 1960's. The coverage is of efforts mainly in the United States, although significant efforts in the U.K., Germany, and other countries were also involved.

How did we get where we are? Initially computers were big, unique, heavy mainframes with a dedicated priesthood of programmers and system engineers to keep them running. They were enshrined in specially air conditioned rooms with raised floors and access control. They ran one job at a time, taking punched cards as input, and producing reams of wide green-striped paper output. Data were collected on reels of magnetic tape, or large trays of punched cards. Access to these very expensive resources was necessarily limited. Computing was hard, but the advantages were obvious – we could collect and crunch data like never before, and compute things that would have worn out our slide rules.

Product Details

BN ID: 2940157428273
Publisher: PRRB Publishing
Publication date: 05/23/2017
Sold by: Barnes & Noble
Format: eBook
File size: 2 MB

About the Author

The author's first computer experience was on a Bendix G-20 mainframe, a 32-bit machine, using the Algol language. His first assembly language was on an IBM S/360 mainframe, specifically the Model 67 variant, with virtual memory. He went on to program the Univac 1108 series mainframe (a 1's complement machine), the DEC PDP-8, 9, 10, and 11, the Bendix G-15, the Athena Missile Guidance Computer by Sperry Rand and many more. The concept of a personal computer was, at the time, ludicrous.
The author is fairly conversant with IBM Fortran -G and -H, S/360 assembly language, S/360 JCL, Univac Fortran-V, and Bendix G-20 Algol.
In spite of all the interesting computers, the author managed to graduate from Carnegie Mellon University with a BSEE. He went on to get Masters degrees from the Johns Hopkins University in Physics and Computer Science. He is now teaching for Johns Hopkins University, Engineering for Professionals Program, and for the EE Department of Capitol Technology University.
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