| P. H. Hartel and M. F. et al, "Benchmarking implementations of functional languages with "Pseudoknot", a float-intensive benchmark," Journal of Functional Programming, vol. 6, pp. 621--655, Jul 1996. |
....creating standalone programs. The optimisations it performs include full laziness, deforestation, let oating, beta reduction, lambda lifting and strictness optimisations; it also supports unboxed values [17] It is widely considered to be the fastest implementation of a lazy functional language [9]. Because it is highly optimising, it is not a soft target. This is important, since optimising non optimised systems is always less of a challenge than optimising optimised systems. 2.2 The STG Machine To understand the causes of cache misses requires some understanding of GHC s execution ....
P. H. Hartel, et al. Benchmarking implementations of functional languages with \Pseudoknot" a oat-intensive benchmark. Journal of Functional Programming, 6(4):621-655, 1996.
....must be compared to those of s. This could account for a small speed advantage of naiveOnline. We present some empirical results with the functional implementations shown above. We used the Chalmers Haskell compiler [Aug93] Note that there may be Haskell compilers that produce better code [HL93] All algorithms were measured on random texts (Bernoullidistribution) over alphabets with various sizes (k = 4; 20; 50; 90) running on a SPARCstation 10 41 with 32 MB. We also confirmed our measurements with natural data from the yeast genome. Measurements were done with the unix tool rusage ....
P.H. Hartel and K.G. Langendoen. Benchmarking Implementations of Functional Languages. In Proceedings of the Conference on Functional Programming Languages and Computer Architecture, June 1993, pages 341--349. ACM Press, New York, NY, 1993.
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P. H. Hartel and M. F. et al, "Benchmarking implementations of functional languages with "Pseudoknot", a float-intensive benchmark," Journal of Functional Programming, vol. 6, pp. 621--655, Jul 1996.
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