
doi: 10.1109/mc.2009.412
Programming for serial computing is already a difficult undertaking that we have yet to master; programming for parallel computing will only exacerbate this difficulty. Fortunately, tools and environments are beginning to emerge that will let us take advantage of multicore and many-core architectures in a more productive manner.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 9 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
