CLC number: TP302
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2022-11-29
Cited: 0
Clicked: 2221
Citations: Bibtex RefMan EndNote GB/T7714
Xiaobin HE, Xin CHEN, Heng GUO, Xin LIU, Dexun CHEN, Yuling YANG, Jie GAO, Yunlong FENG, Longde CHEN, Xiaona DIAO, Zuoning CHEN. Scalability and efficiency challenges for the exascale supercomputing system: practice of a parallel supporting environment on the Sunway exascale prototype system[J]. Frontiers of Information Technology & Electronic Engineering, 2023, 24(1): 41-58.
@article{title="Scalability and efficiency challenges for the exascale supercomputing system: practice of a parallel supporting environment on the Sunway exascale prototype system",
author="Xiaobin HE, Xin CHEN, Heng GUO, Xin LIU, Dexun CHEN, Yuling YANG, Jie GAO, Yunlong FENG, Longde CHEN, Xiaona DIAO, Zuoning CHEN",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="24",
number="1",
pages="41-58",
year="2023",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2200412"
}
%0 Journal Article
%T Scalability and efficiency challenges for the exascale supercomputing system: practice of a parallel supporting environment on the Sunway exascale prototype system
%A Xiaobin HE
%A Xin CHEN
%A Heng GUO
%A Xin LIU
%A Dexun CHEN
%A Yuling YANG
%A Jie GAO
%A Yunlong FENG
%A Longde CHEN
%A Xiaona DIAO
%A Zuoning CHEN
%J Frontiers of Information Technology & Electronic Engineering
%V 24
%N 1
%P 41-58
%@ 2095-9184
%D 2023
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2200412
TY - JOUR
T1 - Scalability and efficiency challenges for the exascale supercomputing system: practice of a parallel supporting environment on the Sunway exascale prototype system
A1 - Xiaobin HE
A1 - Xin CHEN
A1 - Heng GUO
A1 - Xin LIU
A1 - Dexun CHEN
A1 - Yuling YANG
A1 - Jie GAO
A1 - Yunlong FENG
A1 - Longde CHEN
A1 - Xiaona DIAO
A1 - Zuoning CHEN
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 24
IS - 1
SP - 41
EP - 58
%@ 2095-9184
Y1 - 2023
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2200412
Abstract: With the continuous improvement of supercomputer performance and the integration of artificial intelligence with traditional scientific computing, the scale of applications is gradually increasing, from millions to tens of millions of computing cores, which raises great challenges to achieve high scalability and efficiency of parallel applications on super-large-scale systems. Taking the sunway exascale prototype system as an example, in this paper we first analyze the challenges of high scalability and high efficiency for parallel applications in the exascale era. To overcome these challenges, the optimization technologies used in the parallel supporting environment software on the sunway exascale prototype system are highlighted, including the parallel operating system, input/output (I/O) optimization technology, ultra-large-scale parallel debugging technology, 10-million-core parallel algorithm, and mixed-precision method. Parallel operating systems and I/O optimization technology mainly support large-scale system scaling, while the ultra-large-scale parallel debugging technology, 10-million-core parallel algorithm, and mixed-precision method mainly enhance the efficiency of large-scale applications. Finally, the contributions to various applications running on the sunway exascale prototype system are introduced, verifying the effectiveness of the parallel supporting environment design.
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