HP Java: Programming Support for High-Performance Grid-Enabled Applications

Lee, Hanku; Carpenter, Bryan; Fox, Geoffrey; Lim, Sang Boem

doi:10.1080/10637190410001725481

Cited by 9 publications

(5 citation statements)

References 14 publications

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“…Other research efforts have focused on supporting more specific distributed system structures such as: master worker (Javelin 28–30, Ninflet 31, Charlotte 32); branch and bound (Javelin, JICOS 33); divide and conquer (Satin 34); SPMD programming for scientific applications (HP Java 35, Spar 36); and a variation on SPMD, based on distributed collections of objects (ADAJ 10, Do ! 37).…”

Section: Background and Related Workmentioning

confidence: 99%

Babylon: middleware for distributed, parallel, and mobile Java applications

Heiningen

MacDonald

Brecht

2008

Concurrency and Computation

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SUMMARYBabylon is a collection of tools and services that provide a 100% Java-compatible environment for developing, running and managing parallel, distributed and mobile Java applications. It incorporates features such as object migration, asynchronous method invocation, and remote class loading, while providing an easy-to-use interface. Additionally, Babylon enables Java applications to seamlessly create and interact with remote objects, while protecting those objects from other applications by implementing access restrictions and separate namespaces. The implementation of Babylon centers around dynamic proxies, a feature first available in Java 1.3, that allow proxy objects to be created at runtime. Dynamic proxies play a key role in achieving the goals of Babylon. The potential cluster computing benefits of the system are demonstrated with experimental results, which show that sequential Java applications can achieve significant performance benefits from using Babylon to parallelize their work across a cluster of workstations.

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Section: Background and Related Workmentioning

confidence: 99%

Babylon: middleware for distributed, parallel, and mobile Java applications

Heiningen

MacDonald

Brecht

2008

Concurrency and Computation

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“…Data-parallel languages like ZPL, NESL, HPF, HPJava, and pC++ are popular as research languages because of their semantic simplicity: the degree of parallelism is determined by the data structures in the program, and need not be expressed directly by the user [11,12,29,40,61]. These languages include array operators for element-wise arithmetic operations, e.g., C = A+B for matrix addition, as well as reduction and scan operations to compute values such as sums over arrays.…”

Section: Data Parallelismmentioning

confidence: 99%

Parallel Languages and Compilers: Perspective From the Titanium Experience

Yelick

Hilfinger

Graham

et al. 2007

The International Journal of High Performance Computing Applica

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We describe the rationale behind the design of key features of Titanium-an explicitly parallel dialect of Java TM for high-performance scientific programming-and our experiences in building applications with the language. Specifically, we address Titanium's Partitioned Global Address Space model, SPMD parallelism support, multi-dimensional arrays and arrayindex calculus, memory management, immutable classes (class-like types that are value types rather than reference types), operator overloading, and generic programming. We provide an overview of the Titanium compiler implementation, covering various parallel analyses and optimizations, Titanium runtime technology and the GASNet network communication layer. We summarize results and lessons learned from implementing the NAS parallel benchmarks, elliptic and hyperbolic solvers using Adaptive Mesh Refinement, and several applications of the Immersed Boundary method.

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“…However, existing runtime environments alone are inappropriate for HPC; neither Java nor the CLI provides necessary high‐performance functionality, such as the tools and interfaces mentioned above. Nevertheless, researchers are interested in using runtimes for HPC and significant work has been carried out in this area 7–18. In particular, a number of projects have proposed a high‐performance communication extension to an existing runtime 7, 9–15, 17, including the Indiana University .Net bindings 17, MPJ 12, mpiJava 11 and work supported by the Java Grande Forum 18.…”

Section: Introductionmentioning

confidence: 99%

“…It is important to note that many virtual machines are not application-runtimes. For example, Parallel Virtual Machine (PVM) is called a virtual machine but it is not an application-runtime environment under a widely accepted definition because it does not provide a common and complete execution environment for application binaries (such as that provided by .Net and Java).PARALLEL PROGRAMMING ON HIGH-PERFORMANCE APPLICATION-RUNTIME 2143 runtimes for HPC and significant work has been carried out in this area [7][8][9][10][11][12][13][14][15][16][17][18]. In particular, a number of projects have proposed a high-performance communication extension to an existing runtime [7,[9][10][11][12][13][14][15]17], including the Indiana University .Net bindings [17], MPJ [12], mpiJava [11]and work supported by the Java Grande Forum [18].…”

mentioning

confidence: 99%

Parallel programming on a high‐performance application‐runtime

Goscinski

Abramson

2008

Concurrency and Computation

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SUMMARYHigh-performance application development remains challenging, particularly for scientists making the transition to a heterogeneous grid environment. In general areas of computing, virtual environments such as Java and .Net have proved to be successful in fostering application development, allowing users to target and compile to a single environment, rather than a range of platforms, instruction sets and libraries. However, existing runtime environments are focused on business and desktop computing and they do not support the necessary high-performance computing (HPC) abstractions required by e-Scientists. Our work is focused on developing an application-runtime that can support these services natively. The result is a new approach to the development of an application-runtime for HPC: the Motor system has been developed by integrating a high-performance communication library directly within a virtual machine. The Motor message passing library is integrated alongside and in cooperation with other runtime libraries and services while retaining a strong message passing performance. As a result, the application developer is provided with a common environment for HPC application development. This environment supports both procedural languages, such as C, and modern object-oriented languages, such as C#. This paper describes the unique Motor architecture, presents its implementation and demonstrates its performance and use.

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HP Java: Programming Support for High-Performance Grid-Enabled Applications

Cited by 9 publications

References 14 publications

Babylon: middleware for distributed, parallel, and mobile Java applications

Babylon: middleware for distributed, parallel, and mobile Java applications

Parallel Languages and Compilers: Perspective From the Titanium Experience

Parallel programming on a high‐performance application‐runtime

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