Sciweavers

Share
LCPC
1999
Springer

High Performance Numerical Computing in Java: Language and Compiler Issues

10 years 2 months ago
High Performance Numerical Computing in Java: Language and Compiler Issues
Poor performance on numerical codes has slowed the adoption of Java within the technical computing community. In this paper we describe a prototype array library and a research prototype compiler that support standard Java and deliver near-Fortran performance on numerically intensive codes. We discuss in detail our implementation of: (i) an efficient Java package for true multidimensional arrays; (ii) compiler techniques to generate efficient access to these arrays; and (iii) 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, we 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.
Pedro V. Artigas, Manish Gupta, Samuel P. Midkiff,
Added 04 Aug 2010
Updated 04 Aug 2010
Type Conference
Year 1999
Where LCPC
Authors Pedro V. Artigas, Manish Gupta, Samuel P. Midkiff, José E. Moreira
Comments (0)
books