Dependence Analysis for Java
Authors:
Craig Chambers, Igor Pechtchanski, Vivek Sarkar, Mauricio Serrano,
Harini Srinivasan
Conference:
1999 Workshop on Languages and Compilers for Parallel Computing,
La Jolla, CA, August 4-6, 1999
Abstract:
In this paper, we address the problem of data dependence analysis for
Java in the presence of Java's "non-traditional" language features such
as exceptions, synchronization, and memory consistency. We introduce
new classes of edges in a dependence graph to model code motion
constraints arising from these language features. We present a
linear-time algorithm for constructing this augmented dependence graph
using type-based alias analysis for Java. As motivation for dependence
analysis, we discuss two phases of the Jalapeņo dynamic optimizing
compiler, instruction selection and instruction scheduling, that use the
data dependence graph and benefit from more precise dependence
analysis.
Download:
postscript file (208K),
PDF file (235K)
BibTeX Entry:
@INPROCEEDINGS(chambers-pechtchanski-sarkar-99,
Author = "Craig Chambers and Igor Pechtchanski and Vivek Sarkar and
Mauricio J. Serrano and Harini Srinivasan",
Title = "Dependence Analysis for {J}ava",
Booktitle = "12th International Workshop on Languages and Compilers for
Parallel Computing",
Pages = "35--52",
Year = 1999,
Month = "August",
Day = "4--6",
Location = "La Jolla, California, USA",
Publisher = "Springer-Verlag",
Series = "Lecture Notes In Computer Science",
Volume = "1863",
ISBN = "3-540-67858-1",
)
[Home]
Last modified on
Igor Peshansky
pechtcha@cs.nyu.edu