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One of the major reasons driving for compilers in the 1950s versus assembly languages was that the IBM 704 implemented floating point operations in hardware instead of software routines. It sped up floating point calculations by a factor of 10 and switched the execution time of a program from nearly
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This prosaic economic insight, plus experience with the drudgery of coding, plus an unusually lazy nature led to my continuing interest in making programming easier. This interest led directly to work on
Speedcoding for the 701 and to efforts to have floating point as well as indexing built into the
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Trivial observation by a person who made extensive use of FORTRAN some 50 years ago but not since (nor any other compiler or such tool): Under "Compiler Design" one diagram and associated text talks about "Front End, Middle End and Back End". I don't know the terminology of the field, but "Middle
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So what could be done now to ease the programmer's job? Once asked, the answer to this question had to be: Let him use mathematical notation. But behind that answer (in the new 704 environment) there was the really new and hard question:
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It does, but that is the terminology. Users of compilers likely don't even need to know that, but people who work on them do. There are two parts of compilers that can, mostly, be done without connection to the rest. Those got named
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The 704 presented a double challenge to those who wanted to simplify programming; first it removed the raison d'etre of earlier systems by providing in hardware the operations they existed to provide, and second,
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it increased the problem of generating efficient programs by an order of magnitude by speeding up floating-point operations by a factor of ten and thereby leaving inefficiencies nowhere to hide.
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From: Book: A HISTORY OF COMPUTING IN THE TWENTIETH CENTURY -JOHN BACKUS Chapter: Programming in
America in the 1950s-Some Personal Impressions Section 7. The Origins of FORTRAN Page 130-131
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programming and debugging costs already exceeded the cost of running a program, and as computers became faster and cheaper this imbalance would become more and more intolerable.
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Can a machine translate a sufficiently rich mathematical language into a sufficiently economical machine program to make the whole affair feasible? "
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Another major (or the main) reason - less time needed for creating a working program and obtaining the desired results from running the program:
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all being floating point computation routines to the rest of the program. And by extension, programmer productivity became a blocking factor.
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viability of most compilers and interpreters prior to FORTRAN had rested on the fact that most source operations were not machine operations
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as an early reference. It is normally the place where optimization is done, so more important as optimization has increased in importance.
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This article was the subject of a Wiki
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no matter the case. I have reverted to the latest stable version, I have also placed warnings on
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the "types of compilers" section is a duplication of text at the very top of the page.
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Well, 94seulgi started this edit war by adding info that was already in the article.--
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Requested articles/Applied arts and sciences/Computer science, computing, and
Internet
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the 704 with built-in floating-point and indexing radically altered the situation.
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most operating time was spent in floating-point subroutines.
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Wiki
Education assignment: Linguistics in the Digital Age
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Proceedings of the 1952 ACM national meeting (Toronto)
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Knowledge (XXG) level-4 vital articles in
Technology
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Ok, and 83.26.157.157 is locked for sock puppetry.--
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42:Put new text under old text.
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570:Computing
299:Computing
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56:get help
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25:Compiler
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