TY - GEN
T1 - Evaluating I/O Acceleration Mechanisms of SX-Aurora TSUBASA
AU - Sasaki, Yuta
AU - Ishizuka, Ayumu
AU - Agung, Mulya
AU - Takizawa, Hiroyuki
N1 - Funding Information:
This work is partially supported by MEXT Next Generation High-Performance Computing Infrastructures and Applications R&D Program “R&D of A Quantum-Annealing-Assisted Next Generation HPC Infrastructure and its Applications,” and Grant-in-Aid for Scientific Research(A) #20H00593.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/6
Y1 - 2021/6
N2 - In a heterogeneous computing system, different kinds of processors might need to be involved in the execution of a file I/O operation. Since NEC SX-Aurora TSUBASA is one such system, two I/O acceleration mechanisms are offered to reduce the data transfer overheads among the processors for a file I/O operation. This paper first investigates the effects of the two mechanisms on the I/O performance of SX-Aurora TSUBASA. Considering the results, proper use of the two mechanisms is discussed via a real-world application of flood damage estimation. These results clearly demonstrate the demand for auto-tuning, i.e., adaptively selecting either of the two mechanisms with considering application behaviors and system configuration.
AB - In a heterogeneous computing system, different kinds of processors might need to be involved in the execution of a file I/O operation. Since NEC SX-Aurora TSUBASA is one such system, two I/O acceleration mechanisms are offered to reduce the data transfer overheads among the processors for a file I/O operation. This paper first investigates the effects of the two mechanisms on the I/O performance of SX-Aurora TSUBASA. Considering the results, proper use of the two mechanisms is discussed via a real-world application of flood damage estimation. These results clearly demonstrate the demand for auto-tuning, i.e., adaptively selecting either of the two mechanisms with considering application behaviors and system configuration.
KW - I/O acceleration
KW - Performance evaluation
KW - SX Aurora TSUBASA
KW - Vector supercomputer
UR - http://www.scopus.com/inward/record.url?scp=85114396584&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85114396584&partnerID=8YFLogxK
U2 - 10.1109/IPDPSW52791.2021.00113
DO - 10.1109/IPDPSW52791.2021.00113
M3 - Conference contribution
AN - SCOPUS:85114396584
T3 - 2021 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2021 - In conjunction with IEEE IPDPS 2021
SP - 752
EP - 759
BT - 2021 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2021 - In conjunction with IEEE IPDPS 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2021
Y2 - 17 May 2021
ER -