Superoptimization

Superoptimization is the process where a compiler automatically finds the optimal sequence for a loop-free sequence of instructions. Real-world compilers generally cannot produce genuinely optimal code, and while most standard compiler optimizations only improve code partly, a superoptimizer's goal is to find the optimal sequence, the canonical form. Superoptimizers can be used to improve conventional optimizers by highlighting missed opportunities so a human can write additional rules.

History

The term superoptimization was first coined by Alexia Massalin in the 1987 paper Superoptimizer: A Look at the Smallest Program.[1] The label "program optimization" has been given to a field that does not aspire to optimize but only to improve. This misnomer forced Massalin to call her system a superoptimizer, which is actually an optimizer to find an optimal program.[2]

In 1992, the GNU Superoptimizer (GSO) was developed to integrate into the GNU Compiler Collection (GCC).[3][4] Later work further developed and extended these ideas.

Techniques

Typically, superoptimizing is performed via exhaustive brute-force search in the space of valid instruction sequences. This is a costly method, and thus impractical for general-purpose compilers. Yet, it has been shown to be useful in optimizing performance-critical inner loops. It is also possible to use a SMT solver to approach the problem.

In 2001, goal-directed superoptimizing was demonstrated in the Denali project by Compaq research.[5] In 2006, answer set declarative programming was used for superoptimising in the Total Optimisation using Answer Set Technology (TOAST) project at the University of Bath.[6][7]

Superoptimization can be used to automatically generate general-purpose peephole optimizers.[8]

Publicly available superoptimizers

Several superoptimizers are available for free download.

See also

References
  1. Massalin, Henry (1987). "Superoptimizer: A look at the smallest program" (PDF). ACM SIGARCH Computer Architecture News. 15 (5): 122–126. doi:10.1145/36177.36194. Retrieved 2023-05-01. Given an instruction set, the superoptimizer finds the shortest program to compute a function. Startling programs have been generated, many of them engaging in convoluted bit-fiddling bearing little resemblance to the source programs which defined the functions. The key idea in the superoptimizer is a probabilistic test that makes exhaustive searches practical for programs of useful size.
  2. Joshi, Rajeev; Nelson, Greg; Randall, Keith (2002). "Denali: A Goal-directed Superoptimizer". ACM SIGPLAN Notices. 37 (5): 304–314. doi:10.1145/543552.512566.
  3. Granlund, Torbjörn; Kenner, Richard (July 1992). "Eliminating branches using a superoptimizer and the GNU C compiler". ACM SIGPLAN Notices. 27 (7): 341–352. CiteSeerX 10.1.1.58.3509. doi:10.1145/143095.143146. ISBN 978-0-89791475-8. S2CID 8825539.
  4. "Index of /gnu/superopt". GNU Operating System. Free Software Foundation, Inc. 1995-06-14. Retrieved 2023-05-01.
  5. Joshi, Rajeev; Nelson, Greg; Randall, Keith (2001-07-30). "Denali: a goal-directed superoptimizer". Compaq Systems Research Center. HP Labs. Hewlett-Packard Co. Retrieved 2023-05-01.
  6. Brain, Martin; Crick, Tom; De Vos, Marina; Fitch, John (2006-08-17). "TOAST: Applying Answer Set Programming to Superoptimisation". In Etalle, Sandro; Truszczyński, Mirosław (eds.). Logic Programming. Springer-Verlag, Berlin / Heidelberg. pp. 270–284. ISBN 978-3-540-36636-2.
  7. "TOAST – KRRwiki". Department of Computer Science, Mathematical Foundations Group. Knowledge Representation and Reasoning (KRR) group. University of Bath. 2007-08-07. Archived from the original on 2012-11-28. Retrieved 2016-09-03.
  8. Bansal, Sorav; Aiken, Alex (2006). "Automatic Generation of Peephole Superoptimizers" (PDF). Retrieved 2023-05-01.
  9. "GNU Superoptimizer".
  10. "STOKE". GitHub.
  11. Bansal, Sorav; Aiken, Alex (2008). "Binary Translation Using Peephole Superoptimizers" (PDF). Retrieved 2023-05-01.
  12. Serpell, Daniel (2003). "SuperOptimizer for Microchip's PIC microcontrollers". Google Sites. Archived from the original on 2016-10-11. Retrieved 2016-09-06.
  13. Serpell, Daniel (2003-06-21). "PIC Microcontroller SuperOptimizer". Freecode. Slashdot Media. Archived from the original on 2016-09-17. Retrieved 2016-09-06.
  14. "A feasibility study by Embecosm".
  15. Superoptimization – Embecosm
  16. Hume, Tom (2012-08-21). "Clojure program to exhaustively search for optimal Java programs". GitHub. Archived from the original on 2018-06-10. Retrieved 2016-09-06.
  17. "souper". GitHub.
  18. "slumps". GitHub.
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