A framework for direct and transparent data exchange of filter-stream applications in multi-GPUs architectures
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Universidade Federal de Minas Gerais
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The massive data generation has been pushing for significant advances in computing architectures, reflecting in heterogeneous architectures composed by different types of processing units. The filter-stream paradigm is typically used to exploit the parallel processing power of these new architectures. The efficiency of applications in this paradigm is achieved by exploring a set of interconnected computers (cluster) using filters and communication between them in a coordinated way. In this work we propose, implement and test a generic abstraction for direct and transparent data exchange of filter-stream applications in heterogeneous cluster with multi-GPU (Graphics Processing Units). This abstraction allows hiding from the programmers all the low-level implementation details related to GPU communication and the control related to the location of filters. Further, we consolidate such abstraction into a framework. Empirical assessments using a real application show that the proposed abstraction layer eases the implementation of filter-stream applications without compromising the overall application performance.
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Computação, Cluster (Sistema de computador), Ciência da computação
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Multiple GPUs, Filter Stream Application, Heterogeneous Architectures
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https://www.sciencedirect.com/science/article/pii/S1877050917307160