Ivy Ivy is a secure computing environment for researchers consisting of virtual machines (Linux and Windows) and Jupyter Notebooks. Researchers can use Ivy to process and store sensitive data with the confidence that the environment is secure and meets HIPAA requirements.
Overview Ivy consists of two separate computing environments. Access to one environment does not automatically grant access to the others:
Virtual Machines JupyterLab Notebooks - Coming Soon! Data Transfer In/Out of Ivy HIPAA Compliance Coming Soon - Secure HPC Requesting Access University of Virginia tenure stream and academic general faculty, research faculty, research scientists, and postdoctoral associates may request an account on Ivy.
Globus Data Transfer Is a simplified way to access and move your research data, across all systems, using any existing identity. Transfer data to and from systems such as:
Laptops HPC clusters (Rivanna) Secure computing (Ivy) Lab / departmental storage Tape archives Cloud storage Off-campus resources (XSEDE, National Labs) Access them all using just a web browser. This can help you share research data with colleagues, co-investigators, or to move data back and forth between a lab workstation and Rivanna or your personal computer.
Data stored at a different institution? At a supercomputing facility? All you need is your campus login.
Microservice architecture is an approach to designing and running applications. Such applications are typically run within containers, made popular in the last few years by Docker. Containers are portable, efficient, and disposable, and contain code and any dependencies in a single package. Containerized microservices typically run a single process, rather than an entire stack within the same computing environment. This allows portions of your application to be easily replaced or scaled as needed. Research Computing runs microservices in an orchestration environment named DCOS (Distributed Cloud Operating System), based on Apache Mesos and Apache Marathon. DCOS makes the deployment and management of many containers easy and scalable.
Rivanna is the University of Virginia’s High-Performance Computing (HPC) system. As a centralized resource it has hundreds of pre-installed software packages available for computational research across many disciplines. Currently the Rivanna supercomputer has over 8,000 cores and 8PB of various storage. All UVA faculty, staff, and postdoctoral associates are eligible to use Rivanna, or students when part of faculty research. The sections below contain important information for new and existing Rivanna users. Please read each carefully. New users are invited to attend one of our free orientation sessions (“Introduction to the HPC System”) held throughout the year during office hours or by appointment.