NDLI: Development of a hybrid parallel MCV-based high-order global shallow-water model

Content Provider	Springer Nature Link
Author	Zhang, Peng Yang, Chao Chen, Chungang Li, Xingliang Shen, Xueshun Xiao, Feng
Copyright Year	2017
Abstract	Utilization of high-order spatial discretizations is an important trend in developing global atmospheric models. As a competitive choice, the multi-moment constrained volume (MCV) method can achieve high accuracy while maintaining similar parallel scalability to classical finite volume methods. In this work, we introduce the development of a hybrid parallel MCV-based global shallow-water model on the cubed-sphere grid. Based on a sequential code, we perform parallelization on both the process and the thread levels. To enable process-level parallelism, we first decompose the six patches of the cubed-sphere in a same 2-D partition and then employ a conflict-free pipe-flow communication scheme for overlapping the halo exchange with computations. To further exploit the heterogeneous computing capacity of an Intel Xeon Phi accelerated supercomputer, we propose a guided panel-based inner–outer partition to distribute workload among the CPUs and the coprocessors. In addition to the above, thread-level parallelism along with various optimizations is done on both the multi-core CPU and the many-core accelerator. Numerical experiments are carried out to validate the correctness of the optimized parallel code and examine its parallel performance. Test results show that both the CPU-only and the hybrid codes scale well to hundreds of processes in terms of both the strong and weak scaling. In particular, the hybrid code can achieve a speedup of $$2.56\times $$ as compared to the CPU-only version. In the largest run on a $$9216\,\times \,9216\,\times \,6$$ mesh (1.5 billion unknowns), the hybrid code sustains an aggregative performance of 26.5 Tflops with 486 processes (33,534 cores).
Starting Page	2823
Ending Page	2842
Page Count	20
File Format	PDF
ISSN	09208542
Journal	The Journal of Supercomputing
Volume Number	73
Issue Number	6
e-ISSN	15730484
Language	English
Publisher	Springer US
Publisher Date	2017-01-19
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Global shallow-water model Multi-moment constrained volume method Cubed-sphere Intel Xeon Phi Parallel scalability Programming Languages, Compilers, Interpreters Processor Architectures Computer Science
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Information Systems Hardware and Architecture Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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