Object Oriented Programming in Parallel Scientific Computing: An Overview of the Special Issue


There is little argument that the progr~mmlug of scientific applications, particularly on distributed memory parallel machines, remai,.q difficult. Scientists are still productive, but this productivity comes at the high cost of designing and developing applications tha t are hard to maintain, modify, share with collaborators, explain and scale to larger… (More)
DOI: 10.1145/240732.570160