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Title:
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Brook Auto: High-Level Certification-Friendly Programming for GPU-powered Automotive Systems
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Author:
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Trompouki, Matina M.; Kosmidis, Leonidas
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Other authors:
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Barcelona Supercomputing Center |
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Abstract:
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Modern automotive systems require increased performance to implement Advanced Driving Assistance Systems (ADAS). GPU-powered platforms are promising candidates for such computational tasks, however current low-level programming models challenge the accelerator software certification process, while they limit the hardware selection to a fraction of the available platforms. In this paper we present Brook Auto, a high-level programming language for automotive GPU systems which removes these limitations. We describe the challenges and solutions we faced in its implementation, as well as a complete evaluation in terms of performance and productivity, which shows the effectiveness of our method. |
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Abstract:
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This work has been partially supported by the Spanish Ministry of Science and Innovation under grant TIN2015-65316-P and the HiPEAC Network of Excellence. |
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Abstract:
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Peer Reviewed |
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Subject(s):
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-Àrees temàtiques de la UPC::Informàtica
-High performance computing
-Processors, High performance
-Computing methodologies
-Parallel programming languages
-Graphics processors
-Computer systems organization
-Heterogeneous (hybrid) systems
-Embedded software
-Supercomputadors
-Processament en paral·lel (Ordinadors) |
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Rights:
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Document type:
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Article - Submitted version
Conference Object |
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Published by:
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Association for Computing Machinery (ACM)
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Share:
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