Difference between revisions of "WG211/M21Glueck"
From WG 2.11
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| − | The design and implementation of efficient algorithms for reversible computing systems requires | + | The design and implementation of efficient algorithms for reversible computing systems requires unconventional ways of thinking. Memoization is a classic program optimization technique that stores computation results in memory. How memoization can be made reversible without adding unbounded tracing is not immediately clear. This work-in-progress presention discusses a unconventional solution using cyclic state transition systems to memoize reversible recurrence functions. The costs compare favorably to classic memoization: bounded space and amortized linear running time. Joint work with Tetsuo Yokoyama. |
Latest revision as of 10:59, 10 August 2022
The design and implementation of efficient algorithms for reversible computing systems requires unconventional ways of thinking. Memoization is a classic program optimization technique that stores computation results in memory. How memoization can be made reversible without adding unbounded tracing is not immediately clear. This work-in-progress presention discusses a unconventional solution using cyclic state transition systems to memoize reversible recurrence functions. The costs compare favorably to classic memoization: bounded space and amortized linear running time. Joint work with Tetsuo Yokoyama.
