I peaked as a computational scientist in 1986. At that time, two years from finishing my PhD, I was trying to account for an aspect of the x-ray emission from a pulsar known as Hercules X-1.
I peaked as a computational scientist in 1986. At that time, two years from finishing my PhD, I was trying to account for an aspect of the x-ray emission from a pulsar known as Hercules X-1.
Parallel computing is increasingly a requirement of Computational Science and Engineering (CSE) software because problems of interest are very large and hardware systems are becoming parallel through multicore technol...
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ISBN:
(纸本)9781595936035
Parallel computing is increasingly a requirement of Computational Science and Engineering (CSE) software because problems of interest are very large and hardware systems are becoming parallel through multicore technologies. Inexperienced programmers-non-computer scientists with one semester to a few years of programming experience-are crucial to CSE software development because academic research teams rely on them as application developers. For this group, the basic concepts of parallelism can be explained by analogies rather than through exploring the specifics of various technologies. These analogies are also useful for computer scientists who are new to parallel computing.
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