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MathWorks and Institute for Basic Science Jointly Establish Supercomputer-Based MATLAB Computing Environment
Expanding support for large-scale simulation and data analysis using IBS HPC infrastructure
MathWorks announced on the 7th that it had signed a Hosting Agreement (HPA) with IBS. The signing ceremony took place at the IBS headquarters on April 21, where officials from both organizations attended and the direction of cooperation was shared.
This collaboration aims to enable existing MathWorks users to utilize IBS's shared supercomputing resources, driven by the need to expand the research environment. While government-funded research institutes and research-focused universities are seeing increasing demand for large-scale data processing and complex simulations, individual research units have faced limitations in securing the necessary resources to handle these demands.
Under the agreement, researchers can now utilize MATLAB Parallel Servers on IBS's high-performance computing systems, 'Olaf' and 'Aleph'. This enables the execution of computationally intensive tasks based on parallel computing, allowing various research processes—such as large-scale data analysis, modeling, and algorithm development—to be handled efficiently. This environment is expected to be utilized across basic sciences, including mathematics, physics, chemistry, and life sciences.
This infrastructure expansion enables researchers to perform computational tasks on a larger scale than before, and is expected to contribute to increasing research speed and the efficiency of result generation. In particular, amidst the growing trend of complex simulations and data-driven research, the utilization of shared HPC resources is considered a key factor in securing research competitiveness.
IBS believes that this collaboration has laid the foundation for MATLAB-based research environments to operate smoothly even in large-scale computational environments, and expects it to help strengthen the computation-centric research system. MathWorks also predicted that the scope of research would expand as researchers would be able to utilize computing resources of the necessary scale through the shared HPC environment.
This collaboration between the two institutions serves as a response to the demand for high-performance computing required in domestic basic science research and is expected to influence the expansion of large-scale simulations and data-driven research in the future.
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