Issue No. 05 - September/October (2001 vol. 3)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/5992.947105
The authors discuss methods for expressing and tuning the performance of parallel programs, using two programming models in the same program: distributed and shared memory. Such methods are important for anyone who uses these large machines for parallel programs as well as for those who study combinations of the two programming models.
C. P. Breshears et al., "Parallel Programming with Message Passing and Directives," in Computing in Science & Engineering, vol. 3, no. , pp. 22-37, 2001.