Philip John Koopman Jr.'s An Architecture for Combinator Graph Reduction PDF

By Philip John Koopman Jr.

ISBN-10: 0124192408

ISBN-13: 9780124192409

This booklet combines structure with implementation innovations for complex programming languages

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Unfortunately, solving the problem of accurate and consistent per­ formance measurement and reporting will take time and consensus among those doing research in this area. Therefore, the results presented in this chapter reflect the limitations of available resources. Performance for TIGRE has been measured for several programs on a wide variety of platforms, which should help others publish comparisons to TIGRE. 1 presents the results of TIGRE performance measurements on a variety of hardware platforms.

Performance for TIGRE has been measured for several programs on a wide variety of platforms, which should help others publish comparisons to TIGRE. 1 presents the results of TIGRE performance measurements on a variety of hardware platforms. 2 compares some of these measurements with published benchmark results for other combinator reduction strategies. 3 compares TIGRE execution speeds with other languages. 4 provides a brief analysis of the performance results. 1. TIGRE PERFORMANCE ON VARIOUS PLATFORMS The performance of TIGRE can, in turn, only be compared to available performance measures for other machines.

3. TIGRE ASSEMBLER DEFINITIONS OF COMBINATORS 43 guaranteed to give access to the other subtree reference required by U, since P has shorted-out any intermediate projection combinators. The code for U is as follows: mov Rl, ip evaluate allocate 1 mov RO, ip mov ip, LtempO mov Rresult, Rl mov Lresult, result mov Rresult, RtempO top (RtempO) thread The allocation is performed after the evaluation, because the evaluation may disrupt the contents of any heap node pointer registers, and may trigger a garbage collection cycle.

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An Architecture for Combinator Graph Reduction by Philip John Koopman Jr.


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