Director and Staff
- TBD - Position currently available
The Computational Modeling and Analysis (CMA) Core provides access to state of the art high-performance computing (HPC), cloud computing (CP), Networking, and advanced analytical software, while providing services to aid investigators in neuroscience and biomedical research to develop more effective data analytics pipelines. Major equipment (cloud and high-performance computing), training, and technical assistance are available on a fee-for-service basis. Smaller equipment is free-of-charge. All users are welcome with priority given to Neuroscience investigators.
The core is designed to unlock accessible, scalable, and modern computing solutions with significant benefits to faculty, postdocs and students:
Upgraded and equipped with OpenOnDemand platform with advanced data analytics, deep learning, and scientific computing stacks (see specifications in the proposal document).
A highly versatile computing unit with nVidia A6000 GPUs,18 CPU cores, and scalable memory to enable investigators to prepare their data pipelines for state-of-the art compute accelerators.
A state-of-the-art storage unit with over 60TB of capacity, high-speed connectivity, and 384 GB of memory enabling our researchers to store large amounts of scientific data.
12x GPU enabled computing desktops, Deep Learning Stacks, Design Workstations powered by Dell OneAPI platform.
A Lab/Core Technician (tbd) on staff provides basic training and technical support in order to assist researchers with all of our equipment and software. For information about the core, please contact the core director Alireza Tavakkoli, Ph.D. at email@example.com or Michael Rudd, Ph.D. at firstname.lastname@example.org.