@techreport{oai:ipsj.ixsq.nii.ac.jp:00231109,
 author = {Yutsen, Tseng and Keichi, Takahashi and Yoichi, Shimomura and Hiroyuki, Takizawa and Yutsen, Tseng and Keichi, Takahashi and Yoichi, Shimomura and Hiroyuki, Takizawa},
 issue = {31},
 month = {Nov},
 note = {Heterogeneous computing systems composed of multiple types of processors each designed for a particular task are widely deployed. One challenge in heterogeneous computing is how to efficiently exchange data between applications that run on different processors. Conventionally, file-based workflows, in which applications exchange data through a file system, have been used. However, due to the storage I/O bottleneck in recent years, memory-based workflows, in which applications exchange data directly between their memory spaces, have shown excellent performance on homogeneous systems. Nevertheless, memory-based workflows have not been implemented or evaluated on heterogeneous vector systems, and thus it is unknown whether their advantages hold. This work implements an in-situ visualization workflow using both file-based and memory-based approaches and explores their performance characteristics under different task assignments, output size, and output frequency on a heterogeneous vector system., Heterogeneous computing systems composed of multiple types of processors each designed for a particular task are widely deployed. One challenge in heterogeneous computing is how to efficiently exchange data between applications that run on different processors. Conventionally, file-based workflows, in which applications exchange data through a file system, have been used. However, due to the storage I/O bottleneck in recent years, memory-based workflows, in which applications exchange data directly between their memory spaces, have shown excellent performance on homogeneous systems. Nevertheless, memory-based workflows have not been implemented or evaluated on heterogeneous vector systems, and thus it is unknown whether their advantages hold. This work implements an in-situ visualization workflow using both file-based and memory-based approaches and explores their performance characteristics under different task assignments, output size, and output frequency on a heterogeneous vector system.},
 title = {Performance Evaluation of File-based and Memory-based Workflows on a Heterogeneous Vector System},
 year = {2023}
}