Guide to Java for High Performance Computing
Seiten
2006
Springer-Verlag New York Inc.
978-0-387-95561-2 (ISBN)
Springer-Verlag New York Inc.
978-0-387-95561-2 (ISBN)
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Poor performance on numerical codes slow adoption of Java within the technical computing community. This guidebook describes a prototype array library and a research prototype compiler that supports standard Java and delivers near-Fortran performance on numerically intensive codes.
Poor peformance on numerical codes continues to slow adoption of Java within the technical computing community. A new guidebook describes a prototype array library and a research prototype compiler that supports standard Java and delivers near-Fortran performance on numerically intensive codes. In addition, the reference discuss addresses implementing an efficient Java package for true multidimensional arrays; compiler techniques for generating efficient access to these arrays; and compiler optimizations that create safe, exception-free regions of code that can be aggressively optimized. These techniques work together synergistically to make Java an efficient language for technical computing. In a set of four benchmarks, the authors achieve between 50 per cent and 90 per cent of the performance of highly optimized Fortran code. This represents a several-fold improvement compared to what can be achieved by the next best Java environment. Consequently, it proves that Java is a competitive programming language for developing high-performance numerical applications.
Poor peformance on numerical codes continues to slow adoption of Java within the technical computing community. A new guidebook describes a prototype array library and a research prototype compiler that supports standard Java and delivers near-Fortran performance on numerically intensive codes. In addition, the reference discuss addresses implementing an efficient Java package for true multidimensional arrays; compiler techniques for generating efficient access to these arrays; and compiler optimizations that create safe, exception-free regions of code that can be aggressively optimized. These techniques work together synergistically to make Java an efficient language for technical computing. In a set of four benchmarks, the authors achieve between 50 per cent and 90 per cent of the performance of highly optimized Fortran code. This represents a several-fold improvement compared to what can be achieved by the next best Java environment. Consequently, it proves that Java is a competitive programming language for developing high-performance numerical applications.
* Introduction * Array package for Java * Writing Java applicationsusing the Array package * Geometric compiler issues * Compilation forhigh-performance computing * Conclusions
| Erscheint lt. Verlag | 1.11.2006 |
|---|---|
| Reihe/Serie | Monographs in Computer Science |
| Zusatzinfo | 75 illus. |
| Verlagsort | New York, NY |
| Sprache | englisch |
| Themenwelt | Informatik ► Programmiersprachen / -werkzeuge ► Java |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| ISBN-10 | 0-387-95561-5 / 0387955615 |
| ISBN-13 | 978-0-387-95561-2 / 9780387955612 |
| Zustand | Neuware |
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