Paper Info
Title
The Case for Binary Rewriting at Runtime for Efficient Implementation of High-Level Programming Models in HPC
Abstract
Implementations of Parallel Programming Models are provided either as language extensions, completely new languages or as a library. The first two options often provides high productivity, but requires the porting of codes. In contrast, calls to new libraries can be added more easily, however the use of abstractions in such programming model implementations can have high runtime overhead. In both cases, the mentioned drawbacks often hinder the adaptation of novel programming models for large existing codes. To combine the advantages of compiler analysis with the composability of pure libraries towards more efficient programming model implementations, in this paper, we propose a low level API for programmer controlled binary rewriting at runtime. This can be used by programming models provided as libraries to efficiently integrate their abstractions with application code. It enables incremental adoption for existing codes as well as favoring input-dependent optimization strategies yet providing similar performance as language extension approaches. We show first promising experiences.
Year
DOI
Venue
2016
10.1109/IPDPSW.2016.149
2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
Keywords
Field
DocType
High Performance Computing,Parallel Programming Models,Dynamic Optimizations
Functional logic programming,Procedural programming,Programming language,Dynamic compilation,Programming paradigm,Computer science,Parallel computing,Inductive programming,Extensible programming,Reactive programming,Programming domain,Distributed computing
Conference
ISSN
ISBN
Citations 
2164-7062
978-1-5090-3683-7
0
PageRank 
References 
Authors
0.34
14
2
Name
Order
Citations
PageRank
Josef Weidendorfer111517.98
Jens Breitbart2175.22