Space-Time Tradeoff
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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.
Space-Time Tradeoffs
There are multiple CPW pages where memory competes with computation:
See also
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]
- Removing Large Arrays by Deberger, CCC, March 10, 2020
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