Center for Research Computing

Empowering Research with High-Performance Computing and Data Solutions

The Center for Research Computing (CRC) at NYU Abu Dhabi is a state-of-the-art facility dedicated to advancing computational research and innovation. Designed to support the university’s diverse research community, the CRC provides a robust infrastructure and cutting-edge resources for high-performance computing. It empowers researchers to tackle complex scientific, engineering, and data-intensive challenges, fostering groundbreaking discoveries and interdisciplinary collaborations.

Features of the CRC

High-Performance Computing (HPC) Infrastructure

The CRC is anchored by a powerful HPC cluster, which provides exceptional computational capacity for running large-scale simulations, data analysis, and machine learning workflows. This infrastructure enables researchers to tackle problems that require extensive processing power and memory. 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.

Advanced Data Storage Solutions

The facility includes extensive data storage capabilities, ensuring secure, scalable, and efficient management of research data. Researchers can store and retrieve large datasets with ease, supporting seamless workflows for data-intensive projects.

Collaborative Research Environment

The center fosters collaboration by providing access to shared resources and promoting interdisciplinary connections among researchers. This environment encourages the exchange of ideas and the development of innovative solutions across diverse fields.

Comprehensive User Support

The CRC offers training sessions, workshops, and one-on-one consultations to ensure that researchers can effectively utilize its resources. This hands-on support caters to users at all levels of expertise, from beginners to advanced computational scientists.

Applications of the CRC

Scientific Modeling and Simulations

The CRC supports computational modeling in physics, chemistry, and biology, allowing researchers to simulate complex natural phenomena, such as molecular interactions, astrophysical events, and environmental systems.

Engineering Design and Optimization

Engineers leverage the CRC’s capabilities to design and optimize advanced systems, structures, and processes. Applications include aerodynamics simulations, structural analysis, and materials research.

Big Data Analysis and Visualization

In fields such as social sciences and humanities, the CRC facilitates data mining, text analysis, and the visualization of large datasets. This helps researchers uncover patterns and insights from vast amounts of information.

Artificial Intelligence and Machine Learning

The CRC plays a pivotal role in AI research, supporting machine learning projects and big data analytics. Applications include healthcare diagnostics, predictive modeling, and the development of intelligent systems.

Environmental and Climate Research

Researchers use the CRC to study climate models, analyze environmental data, and develop solutions to address global challenges such as sustainability and renewable energy.

Interdisciplinary Applications

The CRC’s versatile resources enable interdisciplinary research, fostering collaboration between fields like computational neuroscience, bioinformatics, and digital humanities.

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.