Energy-aware Load Balancing in Heterogeneous Environments-Reference-Cited by-同舟云学术

Energy-aware Load Balancing in Heterogeneous Environments

Published:2021-12-15 Issue: Volume: Page:
ISSN:
Container-title:The 5th International Conference on Future Networks & Distributed Systems
language:
Short-container-title:

Author:

Ahmed Usman¹,Lin Jerry Chun-Wei¹,Srivastava Gautam²

Affiliation:

1. Western Norway University of Applied Sciences, Norway

2. Mathematics and Computer Science, Brandon University, Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3508072.3527499

Reference22 articles.

1. Usman Ahmed Muhammad Aleem Yasir Noman Khalid Muhammad Arshad Islam and Muhammad Azhar Iqbal. [n.d.]. RALB-HC: A resource-aware load balancer for heterogeneous cluster. Concurrency and Computation: Practice and Experience ([n. d.]) e5606. Usman Ahmed Muhammad Aleem Yasir Noman Khalid Muhammad Arshad Islam and Muhammad Azhar Iqbal. [n.d.]. RALB-HC: A resource-aware load balancer for heterogeneous cluster. Concurrency and Computation: Practice and Experience ([n. d.]) e5606.

2. Suggestion Miner at SemEval-2019 Task 9: Suggestion Detection in Online Forum using Word Graph

3. Usman Ahmed , Jerry Chun-Wei Lin , Gautam Srivastava, and Muhammad Aleem. 2020 . A load balance multi-scheduling model for OpenCL kernel tasks in an integrated cluster. Soft Computing ( 2020). Usman Ahmed, Jerry Chun-Wei Lin, Gautam Srivastava, and Muhammad Aleem. 2020. A load balance multi-scheduling model for OpenCL kernel tasks in an integrated cluster. Soft Computing (2020).

4. StarPU: a unified platform for task scheduling on heterogeneous multicore architectures

5. Data-aware scheduling of legacy kernels on heterogeneous platforms with distributed memory

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