High-level programming for heterogeneous and hierarchical parallel systems

作     者：Garcia-Blas, Javier Brown, Christopher 

作者机构：Univ Carlos III Madrid Dept Comp Sci & Engn Madrid Spain Univ St Andrews Dept Comp Sci St Andrews Fife Scotland 

出 版 物：《INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS》 (高性能计算应用国际杂志)

年 卷 期：2018年第32卷第6期

页      面：804-806页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：The authors would like to thank all the authors  reviewers and editors involved in the elaboration of this special issue  including also the reviewers that were involved in the HLPGPU 2016 workshop. We are especially grateful to Jack Dongarra  editor-in-chief of the International Journal of High Performance Computing Applications  for approving this special issue and for his help along the process of its preparation. The authors received no financial support for the research  authorship and/or publication of this article 

主　　题：GPGPU heterogeneous domain-specific parallel patterns performance programming models 

摘      要：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.