CRState: In-Kernel Checkpoint/Restart of OpenCL Program Execution on GPU

Chen, Genlang; Zhang, Jiajian; Lin, Qiuru; Jiang, Hai; Pang, Chaoyi

doi:10.1109/icpads47876.2019.00054

2019 IEEE 25th International Conference on Parallel and Distributed Systems (ICPADS) 2019

DOI: 10.1109/icpads47876.2019.00054

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CRState: In-Kernel Checkpoint/Restart of OpenCL Program Execution on GPU

Genlang Chen

Jiajian Zhang

Qiuru Lin

et al.

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2021

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Performance and energy task migration model for heterogeneous clusters

Stafford

Bosque

2021

J Supercomput

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This article presents a set of linear regression models to predict the impact of task migration on different objectives, like performance and energy consumption. It allows to establish if at a given moment the migration of a task is profitable in terms of performance or energy consumption. Also, it can be used to determine the best node to migrate a task depending on the objective. The model uses a small set of parameters that are easily measurable. It has been validated against a small heterogeneous cluster using the Slurm resource manager. The model captures the tendencies observed in the results of the experiments, with average relative errors below 3.5% in execution time and 2.5% in energy consumption.

show abstract

Performance and energy task migration model for heterogeneous clusters

Stafford

Bosque

2021

J Supercomput

View full text Add to dashboard Cite

show abstract

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CRState: In-Kernel Checkpoint/Restart of OpenCL Program Execution on GPU

Cited by 1 publication

References 12 publications

Performance and energy task migration model for heterogeneous clusters

Performance and energy task migration model for heterogeneous clusters

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