Analysis of interprocedural side effects in a parallel programming environment
Journal of Parallel and Distributed Computing - Special Issue on Languages, Compilers and environments for Parallel Programming
Numerical recipes in FORTRAN (2nd ed.): the art of scientific computing
Numerical recipes in FORTRAN (2nd ed.): the art of scientific computing
Fortran 90 handbook: complete ANSI/ISO reference
Fortran 90 handbook: complete ANSI/ISO reference
Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
Unifying data and control transformations for distributed shared-memory machines
PLDI '95 Proceedings of the ACM SIGPLAN 1995 conference on Programming language design and implementation
Automatic selection of high-order transformations in the IBM XL FORTRAN compilers
IBM Journal of Research and Development - Special issue: performance analysis and its impact on design
Data transformations for eliminating conflict misses
PLDI '98 Proceedings of the ACM SIGPLAN 1998 conference on Programming language design and implementation
Recursion leads to automatic variable blocking for dense linear-algebra algorithms
IBM Journal of Research and Development
Efficient support for complex numbers in Java
JAVA '99 Proceedings of the ACM 1999 conference on Java Grande
Dependence Analysis
Parallel Programming Using C++
Parallel Programming Using C++
Solving Linear Systems on Vector and Shared Memory Computers
Solving Linear Systems on Vector and Shared Memory Computers
Fortran 90 in CSE: A Case Study
IEEE Computational Science & Engineering
An Implementation of Interprocedural Bounded Regular Section Analysis
IEEE Transactions on Parallel and Distributed Systems
From Flop to MegaFlops: Java for Technical Computing
LCPC '98 Proceedings of the 11th International Workshop on Languages and Compilers for Parallel Computing
Enhancing Spatial Locality via Data Layout Optimizations
Euro-Par '98 Proceedings of the 4th International Euro-Par Conference on Parallel Processing
An Evaluation of Java for Numerical Computing
ISCOPE '98 Proceedings of the Second International Symposium on Computing in Object-Oriented Parallel Environments
A Matrix-Based Approach to the Global Locality Optimization Problem
PACT '98 Proceedings of the 1998 International Conference on Parallel Architectures and Compilation Techniques
Optimizing array reference checking in Java programs
IBM Systems Journal
Optimizing the Use of High Performance Software Libraries
LCPC '00 Proceedings of the 13th International Workshop on Languages and Compilers for Parallel Computing-Revised Papers
A proposal for OpenMP for Java
IWOMP'05/IWOMP'06 Proceedings of the 2005 and 2006 international conference on OpenMP shared memory parallel programming
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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 detai 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.