RALB‐HC: A resource‐aware load balancer for heterogeneous cluster-Reference-Cited by-同舟云学术

RALB‐HC: A resource‐aware load balancer for heterogeneous cluster

Published:2019-12-23 Issue:14 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Ahmed Usman¹,Aleem Muhammad²^ORCID,Noman Khalid Yasir³,Arshad Islam Muhammad²,Azhar Iqbal Muhammad⁴

Affiliation:

1. Department of Computing, Mathematics and Physics, Faculty of Engineering and Science Western Norway University of Applied Sciences Bergen Norway

2. Department of Computer Science National University of Computer and Emerging Sciences (FAST‐NUCES) Islamabad Pakistan

3. Department of Computer Science Capital University of Science and Technology Islamabad Pakistan

4. SWJTU‐Leeds Joint School Southwest Jiaotong University Chengdu China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5606

Reference55 articles.

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2. WangZ O'BoyleMF EmaniMK.Smart adaptive mapping of parallelism in the presence of external workload. In: Proceedings of the 2013 IEEE/ACM International Symposium on Code Generation and Optimization (CGO);2013;Shenzhen China.

3. GhoseA DeyS MitraP ChaudhuriM.Divergence aware automated partitioning of OpenCL workloads. In: Proceedings of the 9th India Software Engineering Conference;2016;Goa India.

4. A Static Task Partitioning Approach for Heterogeneous Systems Using OpenCL

5. LukC‐K HongS KimH.Qilin: exploiting parallelism on heterogeneous multiprocessors with adaptive mapping. Paper presented at: 2009 42nd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO);2009;New York NY.

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