English

Optimized Composition: Generating Efficient Code for Heterogeneous Systems from Multi-Variant Components, Skeletons and Containers

Distributed, Parallel, and Cluster Computing 2014-05-14 v1

Abstract

In this survey paper, we review recent work on frameworks for the high-level, portable programming of heterogeneous multi-/manycore systems (especially, GPU-based systems) using high-level constructs such as annotated user-level software components, skeletons (i.e., predefined generic components) and containers, and discuss the optimization problems that need to be considered in selecting among multiple implementation variants, generating code and providing runtime support for efficient execution on such systems.

Keywords

Cite

@article{arxiv.1405.2915,
  title  = {Optimized Composition: Generating Efficient Code for Heterogeneous Systems from Multi-Variant Components, Skeletons and Containers},
  author = {Christoph Kessler and Usman Dastgeer and Lu Li},
  journal= {arXiv preprint arXiv:1405.2915},
  year   = {2014}
}

Comments

Presented at 1st Workshop on Resource Awareness and Adaptivity in Multi-Core Computing (Racing 2014) (arXiv:1405.2281)

R2 v1 2026-06-22T04:12:18.494Z