Resources

Center for Research Computing

The Center for Research Computing (CRC) at NYU Abu Dhabi is a facility dedicated to providing computational resources and support for research across various disciplines. The center plays a critical role in advancing research through high-performance computing, data analysis, and computational modeling.

Key Aspects of CRC

High-Performance Computing:
The CRC offers access to powerful computing resources that can handle complex calculations and large-scale simulations. This capability is essential for research in fields like physics, chemistry, biology, engineering, and data science.
Data Management and Analysis:
Researchers can use the center’s resources for managing and analyzing large datasets. This includes tasks such as data storage, retrieval, and processing, which are crucial for projects involving big data.
Computational Modeling and Simulation:
The CRC supports the development and execution of computational models and simulations. This is useful in areas such as climate modeling, materials science, and bioinformatics.
Collaborative Research:
The CRC fosters collaboration among researchers by providing the tools and infrastructure necessary for interdisciplinary projects. It also facilitates partnerships with other research institutions and industry partners.
Training and Support:
The CRC offers training sessions and technical support to help researchers effectively use the computational resources. This includes guidance on best practices for optimizing performance and troubleshooting issues.

Applications of CRC Resources

Scientific Research:
Researchers in fields like astrophysics, molecular biology, and environmental science use CRC resources for simulations, experiments, and analyses that require substantial computational power.
Engineering:
Engineers utilize the CRC’s HPC capabilities for tasks such as designing complex systems, analyzing structural integrity, and optimizing processes.
Data Science:
The center supports data-intensive projects, including machine learning and statistical analysis, which are increasingly important in various domains.
Humanities and Social Sciences:
Computational tools and resources can also be applied to digital humanities projects, social network analysis, and economic modeling.

Acknowledgement

We ask our users to acknowledge the use of the HPC resources by including the following in any publication resulting from work carried out on the HPC:

This research was carried out on the High Performance Computing resources at New York University Abu Dhabi.