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シミュレーションとデータ
シミュレーションやデータ
This project aims to develop and spread methods for integrating simulation and data analysis. To this end, we will use collaborative research, aiming to solve specific problems in geoscience and life science, and to expand data assimilation methods in various fields.
Carlo Nardone Senior Solution Architect My professional goal is to pursue the transfer of advanced IT technologies such as HPC, deep learning, GPU computing, and parallel and distributed computing from research and niche users to enterprises and society at large, leveraging almost 30 years of expertise in technical computing, numerical simulation and data analysis, and hardware and software architecture for applied research institutions and IT industries.
Carlo Nardone シニア ソリューション アーキテクト プロフェッショナルとしての私の目標は、テクニカル コンピューティング、数値シミュレーションとデータ分析、応用研究機関と IT 産業向けのハードウェアとソフトウェアのアーキテクチャにおける約 30 年の専門知識を活用し、HPC、ディープラーニング、GPU コンピューティングなど、最先端の IT テクノロジを研究機関やニッチ ユーザーだけでなく、広く企業や社会に届けることです。
Sculptor HELYX 15:45 - 16:15 Tool development to support "Analyzing a phenomena" Professor Kenji Ono Director, Research Institute for Information Technology, Kyushu University Simulation and data science have different approaches toward deduction and induction to science, but this complementary use of both approaches will open up a new paradigm by synergies.
The need to read and write these data and to perform extensive data switching between the simulation and data assimilation parts has a significant impact on the overall computation time.
With our desire to lead the entire life science field towards computer simulation and data analysis, we have created software packages for a wide variety of research fields, such as genetics, biomolecules, organs, and also the whole body.
The database is not only useful as an electronic atlas to three-dimensionally confirm the position and shape of human organ, but also useful in reusing the available data as the input data for human-body simulation and data mapping.
In our lab, under the vision that "general public will be participating a process of science", we are conducting researches, such as computer simulation and data mining, and infrastructures for e-Science.
2020 To meet the increasing computational demand on both large-scale numerical simulation and data science, ITC-NU installed Supercomputer "Flow", a complex supercomputer system, consisting of four compute subsystems and two storage systems with the total peak performance of 15.9 Pflops.
V100 is engineered for the convergence of AI and HPC. It offers a platform for HPC systems to excel at both computational science for scientific simulation and data science for finding insights in data.
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