Paper Info
Title
High-level programming for heterogeneous and hierarchical parallel systems
Abstract
AbstractHigh-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.
Year
DOI
Venue
2018
10.1177/1094342018807840
Periodicals
Keywords
Field
DocType
GPGPU, heterogeneous, domain-specific parallel patterns, performance, programming models
Graphics,Programming paradigm,Computer science,Parallel computing,Algorithmic skeleton,Symmetric multiprocessor system,Static timing analysis,High-level programming language,General-purpose computing on graphics processing units,Code refactoring
Journal
Volume
Issue
ISSN
32
6
1094-3420
Citations 
PageRank 
References 
0
0.34
3
Authors
2
Name
Order
Citations
PageRank
Javier García1479.85
Christopher Brown29611.19