The Cedar architecture integrates shared memory with a distributed system of Alliant mini-supercomputers. Nested parallel loops and a hierarchical memory model allow Cedar Fortran to offer a wide range of implementation possibilities for an algorithm, which makes automatic parallelization easy to do, but hard to do well. Techniques from both shared memory and distributed memory programming paradigms are applied to this problem.
CITATION STYLE
Eigenmann, R., Hoeflinger, J., Jaxon, G., & Padua, D. (1990). Cedar fortran and its compiler. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 457 LNCS, pp. 288–299). Springer Verlag. https://doi.org/10.1007/3-540-53065-7_108
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