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Descripción
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| Obtaining good performance when programming heterogeneous computing platforms poses significant challenges for the programmer. We present a program transformation environment, implemented in Haskell, where architecture-agnostic scientific C code with semantic annotations is transformed into functionally equivalent code better suited for a given platform. The transformation steps are formalized (and implemented) as rules which can be fired when certain syntactic and semantic conditions are met. These conditions are to be fulfilled by program properties which can be automatically inferred or, alternatively, stated as annotations in the source code. Rule selection can be guided by heuristics derived from a machine learning procedure which tries to capture how run-time characteristics (e.g., resource consumption or performance) are affected by the transformation steps. | |
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Internacional
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Si |
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Nombre congreso
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First Workshop on Program Transformation for Programmability in Heterogeneous Architectures (PROHA 2016) |
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Tipo de participación
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OTHERS |
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Lugar del congreso
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Barcelona |
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Revisores
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Si |
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ISBN o ISSN
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arXiv:1603.03011 |
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DOI
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Fecha inicio congreso
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12/03/2016 |
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Fecha fin congreso
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12/03/2016 |
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Desde la página
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1 |
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Hasta la página
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11 |
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Título de las actas
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Proceedings of the First Workshop on Program Transformation for Programmability in Heterogeneous Architectures |