TY - GEN
T1 - A study on open source software for large-scale data visualization on SPARC64fx based HPC systems
AU - Nonaka, Jorji
AU - Matsuda, Motohiko
AU - Shimizu, Takashi
AU - Sakamoto, Naohisa
AU - Fujita, Masahiro
AU - Onishi, Keiji
AU - Inacio, Eduardo C.
AU - Ito, Shun
AU - Shoji, Fumiyoshi
AU - Ono, Kenji
N1 - Funding Information:
Some of the results were obtained by using the K computer at RIKEN AICS (Advanced Institute for Computational Science) in Kobe, Japan. This work has been partially supported by the JSPS under KAKENHI (Grant-in-Aid for Scientific Research) Number JP17K00169, and by the "Joint Usage/Research Center for Interdisciplinary Largescale Information Infrastructures" in Japan (Project ID: jh170043, jh170051). We are grateful for the anonymous reviewers and the shepherds for their careful reading and many insightful comments and suggestions for improving this paper.
PY - 2018/1/28
Y1 - 2018/1/28
N2 - In this paper, we present a study on the available open-source software (OSS) for large-scale data visualization on the SPARC64fx based HPC systems, such as the K computer and also the Fujitsu PRIMEHPC FX family of supercomputers (FX10 and FX100), which are commonly available throughout Japan. It is widely known that these HPC systems have been generating a vast amount of simulation results in a wide range of science and engineering fields. However, there was no much information regarding the large-scale data visualization software and approaches in such HPC infrastructure. In this work, we focused on the visualization approaches where the HPC hardware resources are directly used for the visualization processing, which can be helpful to minimize the large data transfer issue for the visualization and analysis purposes. This study includes both OpenGL (Open Graphics Library) and nonOpenGL based visualization approaches, and also the availability of the GLSL (OpenGL Shading Language) handling functionalities. Although it is a short survey focusing only on the post-processing issue, we expect that this study can be useful and helpful for the current and future potential users of the SPARC64fx CPU based HPC systems, which are still in active use throughout Japan.
AB - In this paper, we present a study on the available open-source software (OSS) for large-scale data visualization on the SPARC64fx based HPC systems, such as the K computer and also the Fujitsu PRIMEHPC FX family of supercomputers (FX10 and FX100), which are commonly available throughout Japan. It is widely known that these HPC systems have been generating a vast amount of simulation results in a wide range of science and engineering fields. However, there was no much information regarding the large-scale data visualization software and approaches in such HPC infrastructure. In this work, we focused on the visualization approaches where the HPC hardware resources are directly used for the visualization processing, which can be helpful to minimize the large data transfer issue for the visualization and analysis purposes. This study includes both OpenGL (Open Graphics Library) and nonOpenGL based visualization approaches, and also the availability of the GLSL (OpenGL Shading Language) handling functionalities. Although it is a short survey focusing only on the post-processing issue, we expect that this study can be useful and helpful for the current and future potential users of the SPARC64fx CPU based HPC systems, which are still in active use throughout Japan.
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U2 - 10.1145/3149457.3155323
DO - 10.1145/3149457.3155323
M3 - Conference contribution
AN - SCOPUS:85044361078
VL - Part F134655
T3 - ACM International Conference Proceeding Series
SP - 278
EP - 288
BT - Proceedings of International Conference on High Performance Computing in Asia-Pacific Region, HPC Asia 2018
PB - Association for Computing Machinery
T2 - 2018 International Conference on High Performance Computing in Asia-Pacific Region, HPC Asia 2018
Y2 - 28 January 2018 through 31 January 2018
ER -