High-level programming for heterogeneous and hierarchical parallel systems
MetadataShow full item record
Altmetrics Handle Statistics
Altmetrics DOI Statistics
High-Level Heterogeneous and Hierarchical Parallel Systems (HLPGPU) aims to bring together researchers and practitioners to present new results and ongoing work on those aspects of high-level programming relevant, or specific to general-purpose computing on graphics processing units (GPGPUs) and new architectures. The 2016 HLPGPU symposium was an event co-located with the HiPEAC conference in Prague, Czech Republic. HLPGPU is targeted at high-level parallel techniques, including programming models, libraries and languages, algorithmic skeletons, refactoring tools and techniques for parallel patterns, tools and systems to aid parallel programming, heterogeneous computing, timing analysis and statistical performance models.
García-Blas , J & Brown , C 2018 , ' High-level programming for heterogeneous and hierarchical parallel systems ' , International Journal of High Performance Computing Applications , vol. 32 , no. 6 , pp. 804-806 . https://doi.org/10.1177/1094342018807840
International Journal of High Performance Computing Applications
© 2018, the Author(s). This work has been made available online in accordance with the publisher's policies. This is the author created accepted version manuscript following peer review and as such may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1177/1094342018807840
Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.