Examples of programming languages in this category are High Performance Fortran [16]and OpenMP [24]. Unfortunately thisapproach is not truly general purpose in that only a certain class ofapplications ...

Translating these real-world motivations for understanding concurrency and parallelism isn’t abstract. It’s real. When teaching programming, “think parallel” should come very early on.

Sequential execution must be specified explicitly since it is now the exception rather than the rule. Parallel programming languages tend to still be in the research side of development.

Dr. Guy Blelloch of Carnegie Mellon University has written an article for the folks at CilkArts analyzing why parallel programming seems to be more difficult than sequential programming. He quickly ...

Since dealing with state (reuse of storage) causes so much difficultyfor parallel execution, we can ask if there are programming notationsthat avoid the notion of state completely, and whether such ...