Volume 11 Number 3 (Mar. 2016)
Home > Archive > 2016 > Volume 11 Number 3 (Mar. 2016) >
JSW 2016 Vol.11(3): 251-271 ISSN: 1796-217X
doi: 10.17706/jsw.11.3.251-271

UPC: Large-Scale Memory Efficient Java Primitive Collections

Ray Hylock*

Department of Health Services and Information Management, East Carolina University, Greenville, North Carolina, USA.
Abstract—The Java programming language is versatile and robust, however, for large-scale applications with memory intensive processes, much is still to be desired. The public Java Development Kit (JDK) supports neither forcible object destruction nor large collection sizes (limited to 231-1) as found in choice computational languages such as Fortran and C/C++. Within Java’s Hotspot, however, the non-public sun.misc.Unsafe class allows such features through basic off-heap functionality. The submitted UPC collections are fully integrated with Unsafe to provide large (i.e., 263-1), destructible arrays, lists, hash sets, hash maps, and matrices, consistent with advanced computational needs. Additionally, a customized version of OpenJDK 1.9 with bulk-operation Unsafe support and companion collections are provided. These tools are compared to Java and extent third-party primitive collections. Testing indicates UPC performs in a consistent to superior manner compared to the state-of-the-art, with greater improvements realized by way of the modified virtual machine.

Index Terms—Destructible, java, long-indexed, OpenJDK enhancements, primitive collections.

[PDF]

Cite: Ray Hylock, "UPC: Large-Scale Memory Efficient Java Primitive Collections," Journal of Software vol. 11, no. 3, pp. 251-271, 2016.

PREVIOUS PAPER
A Novel Technique for Generation and Optimization of Test Cases Using Use Case, Sequence, Activity Diagram and Genetic Algorithm
NEXT PAPER
APRImora: An Architecture Based on Semantic Web to Retrieve Information in Pattern Repositories

General Information

  • ISSN: 1796-217X (Online)

  • Abbreviated Title: J. Softw.

  • Frequency:  Quarterly

  • APC: 500USD

  • DOI: 10.17706/JSW

  • Editor-in-Chief: Prof. Antanas Verikas

  • Executive Editor: Ms. Cecilia Xie

  • Abstracting/ Indexing: DBLP, EBSCO,
           CNKI, Google Scholar, ProQuest,
           INSPEC(IET), ULRICH's Periodicals
           Directory, WorldCat, etc

  • E-mail: jsweditorialoffice@gmail.com

What's New

  • Oct 22, 2024 News!

    Vol 19, No 3 has been published with online version   [Click]

  • Jan 04, 2024 News!

    JSW will adopt Article-by-Article Work Flow

  • Apr 01, 2024 News!

    Vol 14, No 4- Vol 14, No 12 has been indexed by IET-(Inspec) 　   [Click]

  • Apr 01, 2024 News!

    Papers published in JSW Vol 18, No 1- Vol 18, No 6 have been indexed by DBLP   [Click]

  • Jun 12, 2024 News!

    Vol 19, No 2 has been published with online version   [Click]