Toward Exascale Computing Systems: An Energy Efficient Massive Parallel Computational Model

Muhammad Usman; Fathy Alburaei; Aiiad Ahmad;  Abdullah

doi:10.14569/ijacsa.2018.090217

Toward Exascale Computing Systems: An Energy Efficient Massive Parallel Computational Model

International Journal of Advanced Computer Science and Applications ◽

10.14569/ijacsa.2018.090217 ◽

2018 ◽

Vol 9 (2) ◽

Author(s):

Muhammad Usman ◽

Fathy Alburaei ◽

Aiiad Ahmad ◽

Abdullah

Keyword(s):

Computational Model ◽

Energy Efficient ◽

Computing Systems ◽

Exascale Computing

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A Novel Energy Efficient Scheduling for High Performance Computing Systems

2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT) ◽

10.1109/icccnt.2018.8494120 ◽

2018 ◽

Cited By ~ 4

Author(s):

Tarun Biswas ◽

Pratyay Kuila ◽

Anjan Kumar Ray

Keyword(s):

High Performance Computing ◽

Energy Efficient ◽

High Performance ◽

Computing Systems ◽

Performance Computing ◽

Energy Efficient Scheduling

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Failure-aware energy-efficient VM consolidation in cloud computing systems

Future Generation Computer Systems ◽

10.1016/j.future.2018.11.052 ◽

2019 ◽

Vol 94 ◽

pp. 620-633 ◽

Cited By ~ 15

Author(s):

Yogesh Sharma ◽

Weisheng Si ◽

Daniel Sun ◽

Bahman Javadi

Keyword(s):

Cloud Computing ◽

Energy Efficient ◽

Computing Systems ◽

Vm Consolidation

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An Energy-Efficient Computational Model for Uncertainty Management in Dynamically Changing Networked Wearables

Proceedings of the 2016 International Symposium on Low Power Electronics and Design - ISLPED '16 ◽

10.1145/2934583.2934617 ◽

2016 ◽

Cited By ~ 10

Author(s):

Ramyar Saeedi ◽

Ramin Fallahzadeh ◽

Parastoo Alinia ◽

Hassan Ghasemzadeh

Keyword(s):

Computational Model ◽

Energy Efficient ◽

Uncertainty Management

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Adaptive Weight-Based Energy-Efficient Scheduling Algorithm for heterogeneous computing systems

Proceedings of the 3rd International Conference on Computer Science and Service System ◽

10.2991/csss-14.2014.53 ◽

2014 ◽

Author(s):

Xu Cheng ◽

Shu Pan ◽

Li Tao ◽

Liu Yan

Keyword(s):

Energy Efficient ◽

Heterogeneous Computing ◽

Scheduling Algorithm ◽

Computing Systems ◽

Adaptive Weight ◽

Heterogeneous Computing Systems ◽

Energy Efficient Scheduling

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Fair Energy-Efficient Scheduling in Wireless Powered Full-Duplex Mobile-Edge Computing Systems

GLOBECOM 2017 - 2017 IEEE Global Communications Conference ◽

10.1109/glocom.2017.8254208 ◽

2017 ◽

Cited By ~ 16

Author(s):

Sun Mao ◽

Supeng Leng ◽

Kun Yang ◽

Xiaohong Huang ◽

Quanxin Zhao

Keyword(s):

Energy Efficient ◽

Edge Computing ◽

Full Duplex ◽

Mobile Edge Computing ◽

Computing Systems ◽

Energy Efficient Scheduling

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Dynamic Control of Computation Consistency in the Parallel Dataflow Computing System

INFORMACIONNYE TEHNOLOGII ◽

10.17587/it.27.625-633 ◽

2021 ◽

Vol 27 (12) ◽

pp. 625-633

Author(s):

N. N. Levchenko ◽

◽

D. N. Zmejev ◽

Keyword(s):

Computational Model ◽

High Performance ◽

Dynamic Control ◽

Computing System ◽

Computational Process ◽

Computing Systems ◽

Systems Software ◽

Dataflow Computing

When developing high-performance multiprocessor computing systems, much attention is paid to ensuring uninterrupted operation, both in terms of hardware and software. In traditional computing systems, software is the main focus in addressing these issues. The article discusses the solution to the issue of ensuring uninterrupted operation for the parallel dataflow computing system (PDCS), which implements the dataflow computational model with a dynamically formed context. Due to the features of the PDCS, it is proposed to implement this type of control in hardware, which will increase its efficiency, since the computational process will be controlled in dynamics, and not only in statics.

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