An Evaluation of Java for Numerical Computing
This paper describes the design and implementation of high performance numerical software in Java. Our primary goals are to characterize the performance of object‐oriented numerical software written in Java and to investigate whether Java is a suitable language for such endeavors. We have implemente...
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Online Access: | http://dx.doi.org/10.1155/1999/861637 |
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doaj-a54b4986f70f43a19cf38a8afbfdc5772021-07-02T03:09:47ZengHindawi LimitedScientific Programming1058-92441875-919X1999-01-01729711010.1155/1999/861637An Evaluation of Java for Numerical ComputingBrian Blount0Siddhartha Chatterjee1Department of Computer Science, The University of North Carolina, Chapel Hill, NC 27599‐3175, USADepartment of Computer Science, The University of North Carolina, Chapel Hill, NC 27599‐3175, USAThis paper describes the design and implementation of high performance numerical software in Java. Our primary goals are to characterize the performance of object‐oriented numerical software written in Java and to investigate whether Java is a suitable language for such endeavors. We have implemented JLAPACK, a subset of the LAPACK library in Java. LAPACK is a high‐performance Fortran 77 library used to solve common linear algebra problems. JLAPACK is an object‐oriented library, using encapsulation, inheritance, and exception handling. It performs within a factor of four of the optimized Fortran version for certain platforms and test cases. When used with the native BLAS library, JLAPACK performs comparably with the Fortran version using the native BLAS library. We conclude that high‐performance numerical software could be written in Java if a handful of concerns about language features and compilation strategies are adequately addressed.http://dx.doi.org/10.1155/1999/861637 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Brian Blount Siddhartha Chatterjee |
spellingShingle |
Brian Blount Siddhartha Chatterjee An Evaluation of Java for Numerical Computing Scientific Programming |
author_facet |
Brian Blount Siddhartha Chatterjee |
author_sort |
Brian Blount |
title |
An Evaluation of Java for Numerical Computing |
title_short |
An Evaluation of Java for Numerical Computing |
title_full |
An Evaluation of Java for Numerical Computing |
title_fullStr |
An Evaluation of Java for Numerical Computing |
title_full_unstemmed |
An Evaluation of Java for Numerical Computing |
title_sort |
evaluation of java for numerical computing |
publisher |
Hindawi Limited |
series |
Scientific Programming |
issn |
1058-9244 1875-919X |
publishDate |
1999-01-01 |
description |
This paper describes the design and implementation of high performance numerical software in Java. Our primary goals are to characterize the performance of object‐oriented numerical software written in Java and to investigate whether Java is a suitable language for such endeavors. We have implemented JLAPACK, a subset of the LAPACK library in Java. LAPACK is a high‐performance Fortran 77 library used to solve common linear algebra problems. JLAPACK is an object‐oriented library, using encapsulation, inheritance, and exception handling. It performs within a factor of four of the optimized Fortran version for certain platforms and test cases. When used with the native BLAS library, JLAPACK performs comparably with the Fortran version using the native BLAS library. We conclude that high‐performance numerical software could be written in Java if a handful of concerns about language features and compilation strategies are adequately addressed. |
url |
http://dx.doi.org/10.1155/1999/861637 |
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