• Corpus ID: 55673090

PII: S0965-9978(00)00018-1

@inproceedings{Ginsberga2000PIIS,
  title={PII: S0965-9978(00)00018-1},
  author={M. Ginsberga and J. Hauserb and J. E. Moreirac and R. Morgand and J. C. Parsonse and T. J. Wielengaf},
  year={2000}
}
This panel session focuses on utilization of Java for numeric-intensive applications, including the advantages and disadvantages of Java for future use with industrial independent software vendor (ISV)-based finite element methods (FEM) codes. Discussion will address both partial use of Java and/or complete code implementation; activities in this area are already in progress and have been reported by the Java Grande Forum (see http://www.javagrande.org). Some of the issues that will be… 
graco.unb.br

References

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JLAPACK, a subset of the LAPACK library in Java, is implemented and it is concluded that high-performance numerical software could be written in Java if a few concerns about language features and compilation strategies are addressed.
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It is shown how optimizing array bounds checks and null pointer checks creates loop nests on which aggressive optimizations can be used, which leads to Java compliant programs whose performance is in excess of 500 Mflops on an RS/6000 SP 332MHz SMP node.
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TLDR
Quantitative and qualitative arguments that help to decide whether Java is ready for computational science are provided.
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