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This article presents ScatterWeb, a distributed, heterogeneous platform for the ad-hoc deployment of sensor networks offering hardware and open, fully documented software for research and teaching in embedded sensor networks.
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In this paper, we study the performance/energy tradeoffs for a heterogeneous platform consisting of Intel multicore processor with multiple nVidia GPU co-processors.
Reference [12] discussed static and dynamic parallel scheduling for execution times of various tasks underlying a heterogeneous platform.
It must do so while executing on a heterogeneous platform.
As far as the authors know, this is the only work in the literature which deals with B frame inter prediction on a heterogeneous computing platform for both cases: single-view and multi-views.
Since Java programs can run on heterogeneous platforms, the need for system maintenance and user training can be substantially reduced.
In this paper, we study the problem of optimizing the throughput of streaming applications for heterogeneous platforms subject to failures.
This chapter covers code retargeting for heterogeneous platforms, including the use of directives and DSLs specific to GPUs as well as FPGA-based accelerators.
Experimental results indicate that our framework achieves a 9.5% miss penalty reduction with the proposed timing intensity metric compared to metrics from prior work, a 13.6% performance improvement over a state-of-the-art scheduling approach for single-ISA heterogeneous platforms, and a 23.2% performance benefit from exploiting platform heterogeneity.
We improve the performance of our method by exploiting popular heterogeneous platforms and efficiently design the approach for a given architecture.
The system we are planning to introduce is founded on a standard corba bus: (i) to integrate heterogeneous platforms and define a standard layer for interactions between the different acquisition units; (ii to grant, with open source tools (MySql) and interfaces (Html and Java), unified access to hardware and software configuration data.
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