Search our client documentation below, optionally filtered by one or more systems.
Search Documentation
Search Documentation
Darshan is a lightweight "scalable HPC I/O characterization tool
Apache Spark is an open source cluster-computing framework originally developed in the AMPLab at University of California, Berkeley but was later donated to the Apache Software Foundation where it remains today. In contrast to Hadoop's disk-based analytics paradigm, Spark has multi-stage in-memory analytics. Spark can run programs up-to 100x faster than Hadoop’s MapReduce in memory or 10x faster on disk. Spark support applications written in python, java, scala and R.
Wednesday, October 5th
3:00 - 5:00 pm |
Allocations Committee Meeting (members only) |
6:00 - 7:30 pm |
SUG Executive Meeting (members only) |
Wednesday, October 5th
3:00 - 5:00 pm |
Allocations Committee Meeting (members only) |
6:00 - 7:30 pm |
SUG Executive Meeting (members only) |
The following are technical specifications for Owens.
- Number of Nodes
-
824 nodes
- Number of CPU Sockets
-
1,648 (2 sockets/node)
- Number of CPU Cores
-
23,392 (28 cores/node)
- Cores Per Node
-
28 cores/node (48 cores/node for Huge Mem Nodes)
- Local Disk Space Per Node
-
~1,500GB in /tmp
Wednesday, April 5th
R is a language and environment for statistical computing and graphics. It is an integrated suite of software facilities for data manipulation, calculation, and graphical display. It includes
- an effective data handling and storage facility,
- a suite of operators for calculations on arrays, in particular matrices,
- a large, coherent, integrated collection of intermediate tools for data analysis,
- graphical facilities for data analysis and display either on-screen or on hardcopy, and
- a well-developed, simple and effective programming language which includes conditionals, loops, user-defined recursive functions and input, and output facilities
More information can be found here.
Compilers
C, C++ and Fortran are supported on the Owens cluster. Intel, PGI and GNU compiler suites are available. The Intel development tool chain is loaded by default. Compiler commands and recommended options for serial programs are listed in the table below. See also our compilation guide.