var aText = new Array( “serverless website”, “pipelines”, “containers”, “jobs more efficiently” ); Run your Cloud computing is ideal for running flexible, scalable applications on demand, in periodic bursts, or for fixed periods of time. UVA SOMRC works alongside researchers to design and run research applications and datasets into Amazon Web Services, the leader among public cloud vendors. This means that server, storage, and database needs do not have to be estimated or purchased beforehand – they can be scaled larger and smaller with your needs, or programmed to scale dynamically with your application.
In addition to providing free, in-person workshop training, School of Medicine Research Computing staff teach for-credit courses. Below is a selection of courses that SOMRC has taught, co-taught or provided guest lectures:
BIMS 8382: Introduction to Biomedical Data Science Spring 2017, Spring 2018
This course introduces methods, tools, and software for reproducibly managing, manipulating, analyzing, and visualizing large-scale biomedical data. Specifically, the course introduces the R statistical computing environment and packages for manipulating and visualizing high-dimensional data, covers strategies for reproducible research, and culminates with analysis of data from a real RNA-seq experiment using R and Bioconductor packages.
School of Medicine Research Computing provides training opportunities covering a variety of data analysis, basic programming and computational topics. All of the classes listed below are taught by SOMRC experts and are freely available to UVa faculty, staff and students.
Beginning in Spring 2018, SOMRC will be offering workshop registration through CADRE Academy, a new portal that presents workshops sequentially in tracks of particular topics. Users can register for upcoming sessions, follow their progress, and find out about related classes on the site.
UVA Research Computing can help you find the right system for your computational workloads. From supercomputers to HIPAA secure systems to cloud-based deployments with advanced infrastructure, various systems are available to researchers.
Rivanna HPC A traditional high performance cluster with job scheduler, large file system, modules, and MPI processing. Please see the ARCS page for how to begin working in Rivanna.
Get Started on Rivanna
Ivy Secure Platform A multi-platform, HIPAA-compliant system for secure data that includes dedicated virtual machines (Linux and Windows), Domino Data Lab, and Hadoop/Spark.
“Cloud computing” has come to mean a lot of things in recent years: web-based email services, or SaaS (software-as-a-service), or cloud-based storage like UVA’s use of Box. But behind all of these practical, useful tools is another cloud, made up of impossibly large, global-scale hardware farms that the above examples live and run on. These farms make up “cloud infrastructure,” and are now sold to consumers by Google, Rackspace, Microsoft, and Amazon.
Amazon Web Services Tiered object storage Amazon S3 and Glacier offer cloud-based, affordable, unlimited capacity for storage from anywhere. Advanced features include scalability, lifecycle management, encryption, and sharing. S3 is ideal for static files that need to be retrieved from any location (PDFs, images, video, etc.). Glacier is archival storage, perfect for grant compliance that reqires data retention. How SOMRC can help: Lower pricing - UVA has an Internet2 discount available for educational use.