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Supercomputing

List of Research Computing Resources.

Parallel computing has the goal of enhancing performance through the process of performing parts of a task concurrently. Achieving the performance gains projected for applications through parallelism offered by today's parallel systems (with multicore processors, GPU units, etc.)  mandates new paradigms for system software (operating systems, languages, compilers, and programming tools) and redesign of applications software through the development and implementation of parallel algorithms. High performance computing is a growing area of research and many groups in the Department share interest in Computational Physics research, algorithm development, and education at both undergraduate and graduate level.
 
The Department researchers utilize remote supercomputing facilities (such as Xsede) and operate locally six research computing cluster:
 
DPA Wiki pages on how to use clusters below (access outside of UD campus is password protected).

asterix:

  • operating system: Linux
  • number of nodes:  41
  • number of processing cores:  222
  • total memory:  500GB

 

chimera: (access through Szalewicz and Nikolic groups)

  • operating system: Linux
  • number of nodes: 67
  • number of processing cores: 3168
  • total memory: 4800 GB

 

dante: (access through Matthaeus group)

  • operating system: Linux
  • number of nodes:  8
  • number of processing cores:  60
  • total memory:  204GB

 

goose: (access through Shay group)

  • operating system: Linux
  • number of nodes:  38
  • number of processing cores:  312
  • total memory:  900GB

 

kolos: (access through Szalewicz group) 

  • operating system: Linux
  • number of nodes: 31
  • number of processing cores: 276
  • total memory: 1.1 TB

 

kolos2: (access through Szalewicz group) 

  • operating system: Linux
  • number of nodes: 22
  • number of processing cores: 704
  • total memory: 4.2 TB

 

stcsun: (access through Chui group)

  • operating system: Linux
  • number of nodes: 1
  • number of processing cores: 32
  • total memory: 64 GB

 

ulam: (access through Nikolic group)

  • operating system: Linux
  • number of nodes:  17
  • number of processing cores:  48
  • total memory:  124GB