TY - JOUR
T1 - An experimental study to analyze and optimize hartree-fock application's I/O with passion
AU - Kandaswamy, Meenakshi A.
AU - Kandemir, Mahmut T.
AU - Choudhary, Alok N.
AU - Bernholdt, David E.
PY - 1998
Y1 - 1998
N2 - Many scientific applications tend to perform high-volume data storage, data retrieval, and data processing, all of which demand high performance from the I/O subsystem. The focus and contribution of this work is to study the I/O behavior of the Hartree-Fock (HF) method using PASSION. HF's I/O phases can contribute up to 62.34% of the total execution time. The authors reduce the execution time and I/O time up to 54% and 6%, respectively, of that of the original case through PASSION and its optimizations. Additionally, the authors categorize the factors that affect the I/O performance of HF into key application-related parameters and key system-related parameters. Based on extensive empirical results and within the experimental space presented in this paper, the authors order the parameters according to the their impact on HF's I/O performance as follows: efficient interface, prefetching, buffering, number of I/O nodes, striping factor, and striping unit. The authors conclude that application-related factors have a more significant effect on HF's I/O performance than the system-related factors within the experimental space presented in this paper.
AB - Many scientific applications tend to perform high-volume data storage, data retrieval, and data processing, all of which demand high performance from the I/O subsystem. The focus and contribution of this work is to study the I/O behavior of the Hartree-Fock (HF) method using PASSION. HF's I/O phases can contribute up to 62.34% of the total execution time. The authors reduce the execution time and I/O time up to 54% and 6%, respectively, of that of the original case through PASSION and its optimizations. Additionally, the authors categorize the factors that affect the I/O performance of HF into key application-related parameters and key system-related parameters. Based on extensive empirical results and within the experimental space presented in this paper, the authors order the parameters according to the their impact on HF's I/O performance as follows: efficient interface, prefetching, buffering, number of I/O nodes, striping factor, and striping unit. The authors conclude that application-related factors have a more significant effect on HF's I/O performance than the system-related factors within the experimental space presented in this paper.
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U2 - 10.1177/109434209801200403
DO - 10.1177/109434209801200403
M3 - Article
AN - SCOPUS:0032301090
SN - 1094-3420
VL - 12
SP - 411
EP - 439
JO - International Journal of High Performance Computing Applications
JF - International Journal of High Performance Computing Applications
IS - 4
ER -