Pruning strategies in adaptive off-line tuning for optimized composition of components on heterogeneous systems-Reference-Cited by-同舟云学术

Pruning strategies in adaptive off-line tuning for optimized composition of components on heterogeneous systems

Published:2016-01 Issue: Volume:51 Page:37-45
ISSN:0167-8191
Container-title:Parallel Computing
language:en
Short-container-title:Parallel Computing

Author:

Li Lu^ORCID,Dastgeer Usman,Kessler Christoph

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference15 articles.

1. StarPU: a unified platform for task scheduling on heterogeneous multicore architectures;Augonnet;Concurr. Comput.: Practice Exp.,2011

2. Adaptive off-line tuning for optimized composition of components for heterogeneous many-core systems;Li,2013

3. The PEPPHER composition tool: performance-aware composition for GPU-based systems;Dastgeer;Computing,2014

4. Adaptive implementation selection in a skeleton programming library;Dastgeer,2013

5. Pruning strategies in adaptive off-line tuning for optimized composition of components on heterogeneous systems;Li,2014

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Art Installation Design and Algorithm Research Oriented to Heterogeneous Computing Architecture and Particle Swarm Algorithm;IEEE Consumer Electronics Magazine;2021

2. MeterPU: a generic measurement abstraction API;The Journal of Supercomputing;2016-06-24

3. Special Issue on Parallel Programming Models and Systems Software for High-End Computing;Parallel Computing;2016-01