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A299

An Open Source Library for High Performance Scientific and Technical Computing in Java
Wolfgang Hoschek
 CERN

Presented by: Wolfgang Hoschek

  Scientific and technical computing, as, for example, carried out in High Energy Physics, is characterized by demanding problem sizes and a need for high performance at reasonably small memory footprint. There is a perception by many that the Java language is unsuited for such work. However, recent trends in its evolution suggest that it may soon be a major player in performance sensitive scientific and technical computing.
  With the performance gap steadily closing, Java has recently found increased adoption in the field. The reasons include ease of use, cross-platform nature, built-in support for multi-threading, network friendly APIs and a healthy pool of available developers. Still, these efforts are to a significant degree hindered by the lack of foundation toolkits broadly available and conveniently accessible in C and Fortran.
  We present such a foundation toolkit. It contains, efficient and usable data structures and algorithms for Off-line and On-line Data Analysis, Linear Algebra, Multi-dimensional arrays, Statistics, Histogramming and Random Number Generation.



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