|Author||Clark, Douglas W. ♦ Green, C. Cordell|
|Source||ACM Digital Library|
|Publisher||Association for Computing Machinery (ACM)|
|Subject Keyword||List structure measurement ♦ Pointer entropy ♦ List linearization ♦ Zipf's law ♦ Lisp ♦ List structure regularity ♦ Pointer compression|
|Abstract||Static measurements of the list structure of five large Lisp programs are reported and analyzed in this paper. These measurements reveal substantial regularity, or predictability, among pointers to atoms and especially among pointers to lists. Pointers to atoms are found to obey, roughly, Zipf's law, which governs word frequencies in natural languages; pointers to lists usually point to a location physically nearby in memory. The use of such regularities in the space-efficient representation of list structure is discussed. Linearization of lists, whereby successive cdrs (or cars) are placed in consecutive memory locations whenever possible, greatly strengthens the observed regularity of list structure. It is shown that under some reasonable assumptions, the entropy or information content of a car-cdr pair in the programs measured is about 10 to 15 bits before linearization, and about 7 to 12 bits after.|
|Description||Affiliation: Stanford Univ., Stanford, CA (Green, C. Cordell) || Carnegie-Mellon Univ., Pittsburgh, PA, and Xerox Palo Alto Research Center, Palo Alto, CA (Clark, Douglas W.)|
|Age Range||18 to 22 years ♦ above 22 year|
|Education Level||UG and PG|
|Learning Resource Type||Article|
|Publisher Place||New York|
|Journal||Communications of the ACM (CACM)|
Ministry of Human Resource Development (MHRD) under its National Mission on Education through Information and Communication Technology (NMEICT) has initiated the National Digital Library of India (NDLI) project to develop a framework of virtual repository of learning resources with a single-window search facility. Filtered and federated searching is employed to facilitate focused searching so that learners can find out the right resource with least effort and in minimum time. NDLI is designed to hold content of any language and provides interface support for leading vernacular languages, (currently Hindi, Bengali and several other languages are available). It is designed to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is being developed to help students to prepare for entrance and competitive examinations, to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is being developed at Indian Institute of Technology Kharagpur.
NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.
Ministry of Human Resource Development (MHRD), through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.
For any issue or feedback, please write to email@example.com