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Optimizing for Speed

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Key Java

Part of the book series: Practitioner Series ((PRACT.SER.))

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Abstract

The programming community seems to believe that choosing Java as a language inevitably means poor performance. In reality, as you might expect, the speed of a Java application depends very much on the quality of the code. Indeed, improvements in performance from good coding can far outweigh those achieved from using a faster virtual machine.

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Online References

  • The benchmarks were performed using Doug Bell’s benchmark utility, available from http://www.2nu.com/Doug/Benchmark/Benchmark.html

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  • A useful source of information on Java optimization can be found at http://www.cs.cmu.edu/∼j ch/j ava/

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  • Source code for (among other things) FastVector, FastStringBuf f er and Buf f eredRandomAccessFile are available at http://www.aber.ac.uk/∼agm/Java.html

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  • The Win95 Performance pack JIT is available from Sun at http://java.sun.com/products/jdk/1.1/

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References

  • Aho A.V. and Ullman J.D. Principles of Compiler Design. Addison-Wesley, Reading MA.

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© 1998 Springer-Verlag London Limited

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Hunt, J.E., McManus, A.G. (1998). Optimizing for Speed. In: Key Java. Practitioner Series. Springer, London. https://doi.org/10.1007/978-1-4471-0607-4_15

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  • DOI: https://doi.org/10.1007/978-1-4471-0607-4_15

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-76259-1

  • Online ISBN: 978-1-4471-0607-4

  • eBook Packages: Springer Book Archive

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