20 articles Research Computing

Research Toolkits: Overview of process to create VMs or other services

Research Toolkits (https://rtoolkits.web.duke.edu) is a source for virtual machines, data storage space, and other research-related computational resources for Duke researchers. By default, regular rank faculty have access to the website and have an allocation of CPU-core, RAM, and storage resources to use at their discretion. Current allocations of CPU, RAM, and storage are available here [https://oit.duke.edu/help/articles]. The…

Research Toolkits: Allocations for use in the services

Research Toolkits (https://rtoolkits.web.duke.edu) allocates a base of CPU-cores, RAM, and storage to regular rank faculty. As of fall semester (academic year 2016-17), regular rank faculty have allocations of 4 CPU-cores, 40 GB of random access memory (RAM), and 100 GB of data storage. These allocations can be consumed using services provided through the Research Toolkits…

Cluster: GPUs for “common” use can be removed from availability on the Duke Compute Cluster

Because GPU-enabled nodes on the Duke Compute Cluster are also allocated for special projects, they may be removed from the gpu-common partition. This may mean that jobs running on the shared GPU machines would be interrupted. GPUs are useful in other computing environments such for research using highly sensitive data or for research with software…

Cluster: Available software and getting new applications installed

The Duke Compute Cluster already has software packages installed that most researchers need, but additional software can be added to meet research needs. To check to see whether the software package you require is already available, do this: module avail Here are the requirements and the process for adding software: Send request for a new…