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2002
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NINJA: Java for high performance numerical computing

8 years 6 months ago
NINJA: Java for high performance numerical computing
When Java was first introduced, there was a perception that its many benefits came at a significant performance cost. In the particularly performance-sensitive field of numerical computing, initial measurements indicated a hundred-fold performance disadvantage between Java and more established languages such as Fortran and C. Although much progress has been made, and Java now can be competitive with C/C++ in many important situations, significant performance challenges remain. Existing Java virtual machines are not yet capable of performing the advanced loop transformations and automatic parallelization that are now common in state-of-the-art Fortran compilers. Java also has difficulties in implementing complex arithmetic efficiently. These performance deficiencies can be attacked with a combination of class libraries (packages, in Java) that implement truly multidimensional arrays and complex numbers, and new compiler techniques that exploit the properties of these class libraries to...
José E. Moreira, Samuel P. Midkiff, Manish
Added 23 Dec 2010
Updated 23 Dec 2010
Type Journal
Year 2002
Where SP
Authors José E. Moreira, Samuel P. Midkiff, Manish Gupta, Peng Wu, George S. Almasi, Pedro V. Artigas
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