Difference between revisions of "Space-Time Tradeoff"
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* [https://en.everybodywiki.com/Burton_Howard_Bloom Burton H. Bloom] ('''1970'''). ''[https://dl.acm.org/doi/10.1145/362686.362692 Space/time trade-offs in hash coding with allowable errors]''. [[ACM#Communications|Communications of the ACM]], Vol. 13, No. 7 <ref>[https://en.wikipedia.org/wiki/Bloom_filter Bloom filter from Wikipedia]</ref> | * [https://en.everybodywiki.com/Burton_Howard_Bloom Burton H. Bloom] ('''1970'''). ''[https://dl.acm.org/doi/10.1145/362686.362692 Space/time trade-offs in hash coding with allowable errors]''. [[ACM#Communications|Communications of the ACM]], Vol. 13, No. 7 <ref>[https://en.wikipedia.org/wiki/Bloom_filter Bloom filter from Wikipedia]</ref> | ||
* [[Albert Zobrist]], [[Frederic Roy Carlson]] ('''1977'''). ''Detection of Combined Occurrences''. [[ACM#Communications|Communications of the ACM]], Vol. 20, No. 1 | * [[Albert Zobrist]], [[Frederic Roy Carlson]] ('''1977'''). ''Detection of Combined Occurrences''. [[ACM#Communications|Communications of the ACM]], Vol. 20, No. 1 | ||
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| + | =Forum Posts= | ||
| + | * [http://www.talkchess.com/forum3/viewtopic.php?f=2&t=73273 Stockfish and latest +6 ELO patch!] by [[Jouni Uski]], [[CCC]], March 05, 2020 » [[Distance]], [[Stockfish]]<ref>[https://github.com/official-stockfish/Stockfish/commit/5a7b45eac9dedbf7ebc61d9deb4dd934058d1ca1#diff-4cd6bcdb505b124d7bdc612c4789dc26L57-R59 Use equations for PushAway and PushClose · official-stockfish/Stockfish@5a7b45e · GitHub]</ref> | ||
=External Links= | =External Links= | ||
Revision as of 13:16, 6 March 2020
Home * Programming * Space-Time Tradeoff
Space-time Vortex [1]
Space-Time Tradeoff refers to providing knowledge, information or data, where memory size competes with computation time. This tradeoff is a frequent issue in computer chess programming, for instance low level stuff to calculate or lookup single populated bitboards by square index, or a distance between two squares. Lookup tables are non-volatile tables or initialized once at program startup, various hash tables and caches. Space-time tradeoff is also an issue in determining (almost) perfect knowledge from interior node recognizers by retrograde analysis, that is the application of endgame bit- or tablebases and various compression techniques.
Contents
Space-Time Tradeoffs
There are multiple CPW pages where memory competes with computation:
- Bit by Square
- BitScan
- Distance
- Encoding Moves
- Endgame Bitbases
- Endgame Tablebases
- Hash Table
- Kindergarten Bitboards
- KPK
- Legality Test
- Magic Bitboards
- Manhattan-Distance
- Material Tables
- Population Count
- Rotated Bitboards
- Table-driven Move Generation
- The Switch Approach
- Transposition Table
See also
- Algorithms
- Best-First
- Data
- Depth-First
- Dispersion and Distortion
- Knowledge
- Learning
- Memory
- Sequential Logic
Publications
- Burton H. Bloom (1970). Space/time trade-offs in hash coding with allowable errors. Communications of the ACM, Vol. 13, No. 7 [2]
- Albert Zobrist, Frederic Roy Carlson (1977). Detection of Combined Occurrences. Communications of the ACM, Vol. 20, No. 1
Forum Posts
- Stockfish and latest +6 ELO patch! by Jouni Uski, CCC, March 05, 2020 » Distance, Stockfish[3]
External Links
- Space-time tradeoff from Wikipedia
- Blum's speedup theorem from Wikipedia
- Algorithmic efficiency from Wikipedia
- Shannon entropy from Wikipedia
- Computer memory from Wikipedia
- Cache from Wikipedia
- Lookup table from Wikipedia
- Database from Wikipedia
- Memory management unit from Wikipedia
- Volatile memory from Wikipedia
- Non-volatile memory from Wikipedia
- Random-access memory from Wikipedia
- Read-only memory from Wikipedia
- Memory footprint from Wikipedia
- Moore's law from Wikipedia
- Computation, Memory, Nature, and Life - Is digital storage the secret of life? by John Walker
- Spacetime from Wikipedia
- Philosophy of space and time from Wikipedia
- Einstein Minkowski Space-Time Diagram
- Art of memory from Wikipedia
- Eureka: A Prose Poem from Wikipedia
- Time in Space - God Bless the Child, Domicil, Dortmund, February 3, 2017, YouTube Video
- In Memoriam Wolf Escher
