Guide to Java for High Performance Computing Samuel Midkiff

ISBN: 9780387955612

Published:

Hardcover


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Guide to Java for High Performance Computing  by  Samuel Midkiff

Guide to Java for High Performance Computing by Samuel Midkiff
| Hardcover | PDF, EPUB, FB2, DjVu, talking book, mp3, RTF | | ISBN: 9780387955612 | 10.75 Mb

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 deliversMorePoor 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% and 90% 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.



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