NDLI: Habanero-Java: the new adventures of old X10

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Habanero-Java: the new adventures of old X10

Content Provider	ACM Digital Library
Author	Cavé, Vincent Zhao, Jisheng Sarkar, Vivek Shirako, Jun
Abstract	In this paper, we present the Habanero-Java (HJ) language developed at Rice University as an extension to the original Java-based definition of the X10 language. HJ includes a powerful set of task-parallel programming constructs that can be added as simple extensions to standard Java programs to take advantage of today's multi-core and heterogeneous architectures. The language puts a particular emphasis on the usability and safety of parallel constructs. For example, no HJ program using async, finish, isolated, and phaser constructs can create a logical deadlock cycle. In addition, the future and data-driven task variants of the async construct facilitate a functional approach to parallel programming. Finally, any HJ program written with async, finish, and phaser constructs that is data-race free is guaranteed to also be deterministic. HJ also features two key enhancements that address well known limitations in the use of Java in scientific computing --- the inclusion of complex numbers as a primitive data type, and the inclusion of array-views that support multidimensional views of one-dimensional arrays. The HJ compiler generates standard Java class-files that can run on any JVM for Java 5 or higher. The HJ runtime is responsible for orchestrating the creation, execution, and termination of HJ tasks, and features both work-sharing and work-stealing schedulers. HJ is used at Rice University as an introductory parallel programming language for second-year undergraduate students. A wide variety of benchmarks have been ported to HJ, including a full application that was originally written in Fortran 90. HJ has a rich development and runtime environment that includes integration with DrJava, the addition of a data race detection tool, and service as a target platform for the Intel Concurrent Collections coordination language.
Starting Page	51
Ending Page	61
Page Count	11
File Format	PDF
ISBN	9781450309356
DOI	10.1145/2093157.2093165
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-08-24
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Parallel programming Language Data-race detection
Content Type	Text
Resource Type	Article

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