A Framework for Multiplatform HPC Applications

Ioki, Masayuki; Chiba, Shigeru

doi:10.1145/2578948.2560693

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…This approach focuses on using a flat parallelism model and address space, which makes it difficult to leverage the performance benefits of applications with hierarchical parallelism. Oki and Chiba provide a Java framework to deploy applications on clusters of CPUs, by providing an API for GPU and for MPI programming in Java. To deploy programs in clusters of GPUs, the programmer must write code to explicitly manage the composition of GPU and MPI code.…”

Section: Related Workmentioning

confidence: 99%

Gaspar: a compositional aspect‐oriented approach for cluster applications

Medeiros

Silva

Sobral

2015

Concurrency and Computation

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SUMMARYThis paper presents a framework that enables the development of Java applications that execute on CPUs, graphics processing units (GPUs) and clusters of CPUs/GPUs. Applications are specified in an OpenMPlike fashion, accessing data through a framework-provided data API. The framework enables the efficient execution of applications in CPU and/or GPU by relying on two key features: (i) parallelism exploitation patterns are specified by additional aspect modules; and (ii) data layout can be selected according to the target platform. This paper describes how the framework abstractions are mapped and how the framework intrinsically supports the development of applications with hybrid parallelism by composing aspect modules with a given base program. Performance results show that the framework provides a performance level similar to traditional approaches and enables better performance portability for a given base program.

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Section: Related Workmentioning

confidence: 99%

Gaspar: a compositional aspect‐oriented approach for cluster applications

Medeiros

Silva

Sobral

2015

Concurrency and Computation

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“…Software frameworks [6,7] are now widely used in software development to achieve higher productivity, not only in the enterprise field, but also in the high-performance computing (HPC) field [3]. A software framework is essentially a software library, regardless of the control direction.…”

Section: Introductionmentioning

confidence: 99%

Decoupling Architecture for All-to-all Computation

Hori¹,

Yoshinaga²,

Tokuhisa³

et al. 2014

Proceedings of the 21st European MPI Users' Group Meeting

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We propose a new software framework, named "decoupling architecture", for all-to-all computation. In this framework, the user's kernel code and well-tuned parallel control code are clearly separated to allows users to move smoothly from running sequential programs on a single-node server to fully utilizing a powerful machine, such as the K computer. In an evaluation of our prototype, the proposed decoupling architecture introduced some overhead. However, we show that the overhead can be reduced.

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