Crush is a medium scale virtualized research cloud. It is designed to be allocated for compute intensive work and to be used in tandem with the AVHE where the data and work scheduling infrastructure are maintained.  It provides both HPC and HTC environments.  

A primary use case for Crush is the provisioning of a “cluster within a cluster” providing access to dedicated, customized compute nodes for high-performance and high-throughput computing. 

Nodes within Crush provide a diverse set of configurations including high density processing power, high speed disk I/O, and high speed networking. 

Currently Crush consists of 20,000 cores and 100 Terabytes of memory 

Crush is a dynamic resource, simultaneously supporting a wide variety of workloads, balancing allocation based on use and priority.  A snapshot of recent workload includes support for Syracuse researchers in:  

  • Physics – Arts and Sciences  
  • Chemistry – Arts and Sciences  
  • Engineering – Arts and Sciences  
  • Biology – Arts and Sciences
  • Math – Arts and Sciences 
  • Architecture
  • TransMedia – Visual Performing Arts 

Nationally, Crush contributes computational time to the Open Science Grid.

Crush CPU graph

This image represents all the individual hosts within Crush plotted on a single graph. This helps visualize its overall use as well as the pattern of load on the cluster.