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pro vyhledávání: '"Mingtao Chen"'
Publikováno v:
Scientific Programming, Vol 2020 (2020)
The booming development of data science and big data technology stacks has inspired continuous iterative updates of data science research or working methods. At present, the granularity of the labor division between data science and big data is more
Publikováno v:
2021 5th International Conference on High Performance Compilation, Computing and Communications.
Data-intensive applications are becoming increasingly popular. However, only a few of them with high volume can afford dedicated hardware acceleration (such as Neural Network Processor, or NPU) or platform-specific software implementation (such as Te
Publikováno v:
ICCCS
Exploiting inter-iteration data-level parallelism (DLP) is the important focus of many loop accelerators. Target at this, we propose a loop parallelization acceleration framework LoopPara, which follows a hardware/software coordinated pipeline: 1) an
Publikováno v:
Advances in Engineering Software. 115:429-438
In this work, the response surface methodology along with the finite element method was employed to optimize the loading path for hydroforming parallel double branched tube parts. A combination of experimental design, numerical simulations and regres