Comparative cross-platform performance results from a parallelizing SML compiler

被引：0
|
作者：
Scaife, N
Michaelson, G
Horiguchi, S
机构：
[1] Japan Adv Inst Sci & Technol, Tatsunokuchi, Ishikawa 9231211, Japan
[2] Heriot Watt Univ, Dept Elect & Comp Engn, Edinburgh EH14 4AS, Midlothian, Scotland
来源：
IMPLEMENTATION OF FUNCTIONAL LANGUAGES | 2002年 / 2312卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We have developed a parallelising compiler for Standard ML which allows instantiation of a fixed set of higher order functions with equivalent parallel algorithmic skeletons. The compiler is intended to be both portable and semi-automatic. Here we discuss the performance of the code generated by the compiler, for five exemplar programs on four MIMD parallel machines. Results show consistent cross-platform behaviour and good relative speedup for small numbers of processors but with limited scalability to larger numbers of processors.
引用
收藏
页码：138 / 154
页数：17
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