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Summary
Massively parallel computers provide new scientific computation capabilities. This article surveys parallel computing applications and programming challenges for scientists using these powerful machines.
Area of Science:
- Computational Science
- High-Performance Computing
Background:
- Traditional serial computers have limitations for large-scale scientific computations.
- Massively parallel computers offer enhanced computational power but require different approaches.
Purpose of the Study:
- To survey the applicability of parallel computers for scientific computations.
- To summarize current understanding of programming issues for parallel scientific applications.
Main Methods:
- Surveying a range of scientific computation examples on parallel computers.
- Analyzing the differences between parallel and sequential algorithms.
Main Results:
- Most large-scale scientific computations are amenable to parallel computation.
- Parallel algorithms often differ significantly from sequential algorithms.
Conclusions:
- Parallel computing is a powerful tool for scientific advancement.
- Understanding parallel programming is crucial for leveraging these systems effectively.
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