Jurnal Internasional Ilmu Komp

Sage Publication : International Journal of High Performance Computing Applications

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The scalability and efficiency of graph applications are significantly constrained by conventional systems and their
supporting programming models. Technology trends such as multicore, manycore, and heterogeneous system architectures
are introducing further challenges and possibilities for emerging application domains such as graph applications. This paper
explores the parallel execution of graphs that are generated using the Barnes–Hut algorithm to exemplify dynamic workloads.
The workloads are expressed using the semantics of an exascale computing execution model called ParalleX. For
comparison, results using conventional execution model semantics are also presented. We find improved load balancing
during runtime and automatic parallelism discovery by using the advanced semantics for exascale computing.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

EJ1.8

Penerbit

: Sage Publication., 2012

Deskripsi Fisik

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Bahasa

English

ISBN/ISSN

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Klasifikasi

EJ1.8

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

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Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

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