Download Large Problems, Small Machines. Transforming your Programs by Steve Heller PDF

By Steve Heller

Time and house optimization in connection with software program potential fine-tuning the code in order that a programme executes as speedy as attainable whereas utilizing at the very least process assets, reminiscent of reminiscence and disk cupboard space. This ebook exhibits easy methods to write software program assembly these objectives. As functions start to stretch the bounds of present (particularly the 640K reminiscence restrict imposed by means of MS-DOS), time and area optimization is changing into more and more serious. This publication examines an exact software program venture and illustrates optimization because it exists within the genuine international. the entire ideas brought are illustrated via real instances together with the compromises inherent within the a variety of techniques. a number of examples and evaluation questions are incorporated

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Additional resources for Large Problems, Small Machines. Transforming your Programs with Advanced Algorithms

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So is FOUND, in this situation, as we are trying to add a new record, not look one up. 10, line 121), which gives an appropriate error message and continues execution. However, if the status is NOT_IN_FILE, write_record continues by positioning the file to the record number returned by lookup_record_number, writing the record to the file, and returns the status NOTJN_FILE to process, which continues execution normally. That concludes our examination of the input mode in process. 11, lines 227-237) rather than lookup_record_number, since it wants the record to be returned, not just the record number.

In this event, we set the value of the record_number argument to the file record number for this cache entry, and return with the status set to FOUND. Otherwise, the record isn't in the cache, so we will have to look for it in the file; if we find it, we will need a place to store it in the cache. So, in line 124, we pick a "random" entry in the line (cache__replacejndex), by calculating the remainder after dividing the number of accesses we have made by the MAPPING_FACTOR. This will generate an entry index between 0 and the highest entry number, cycling through all the possibilities on each successive access, thus not favoring a particular entry number.

As before, we start at the beginning of subfile 1, since the number ends in 1. The first three records are already in use, so we can't use them. 5. 5: Hashing with merged subfiles However, what happens if we look for "9898971" in the above situation? We start out the same way, looking at records with phone numbers "9876541", "2323231", "9898981", and "1212121". But we haven't gotten to an invalid record yet. Can we stop before we get to the first. record of the next subfile? Handling Subfile Overflow To answer that question, we have to see what would happen if we had added another record that belonged in subfile 1.

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