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Exploiting Computational Resources in Distributed Heterogeneous Platforms

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5 Author(s)
Teodoro, G. ; Dept. of Comput. Sci., Fed. Univ. of Minas Gerais, Belo Horizonte, Brazil ; Sachetto, R. ; Fireman, D. ; Guedes, D.
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We have been witnessing a continuous growth of both heterogeneous computational platforms (e.g., Cell blades, or the joint use of traditional CPUs and GPUs) and multi- core processor architecture; and it is still an open question how applications can fully exploit such computational potential efficiently. In this paper we introduce a run-time environment and programming framework which supports the implementation of scalable and efficient parallel applications in such heterogeneous, distributed environments. We assess these issues through well-known kernels and actual applications that behave regularly and irregularly, which are not only relevant but also demanding in terms of computation and I/O. Moreover, the irregularity of these, as well as many other applications poses a challenge to the design and implementation of efficient parallel algorithms. Our experimental environment includes dual and octa-core machines augmented with GPUs and we evaluate our framework performance for standalone and distributed executions. The evaluation on a distributed environment has shown near to linear scale-ups for two data mining applications, while the applications performance, when using CPU and GPU, has been improved into around 25%, compared to the GPU-only versions.

Published in:

Computer Architecture and High Performance Computing, 2009. SBAC-PAD '09. 21st International Symposium on

Date of Conference:

28-31 Oct. 2009