We updated the default versions of the totalview and allinea modules:
Totalview:
Oakley and Ruby: 8.14.1-8 to 2017.0.12
Owens: 2016.04.08 to 2017.0.12
Allinea tools:
Oakley and Ruby: 6.0.1 to 7.0
Owens: 6.0.6 to 7.0
LAMMPS stable version 31Mar17 has been installed on Owens. This is a GPU enabled installation. Usage is via the module lammps/31Mar17. For information on installation details, such as, available packages, see the output of the module help command, e.g.: module help lammps/31Mar17
MAGMA is a collection of next generation linear algebra (LA) GPU accelerated libraries designed and implemented by the team that developed LAPACK and ScaLAPACK. MAGMA is for heterogeneous GPU-based architectures, it supports interfaces to current LA packages and standards, e.g., LAPACK and BLAS, to allow computational scientists to effortlessly port any LA-relying software components.
This page lists all proposed OSC policies for public comments. Your comments help inform our policies and are encouraged. We will provide the response to comments on this webpage after the public comment period closes. Please submit your comments via our online form by the deadline.
"Torch is a deep learning framework with wide support for machine learning algorithms. It's open-source, simple to use, and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C / CUDA implementation. Torch offers popular neural network and optimization libraries that are easy to use, yet provide maximum flexibility to build complex neural network topologies. It also runs up to 70% faster on the latest NVIDIA Pascal™ GPUs, so you can now train networks in hours, instead of days."
"TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture lets you deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device without rewriting code."
Quote from TensorFlow Github documentation.
OSC OnDemand provides access to applications on compute nodes through the batch system, without the hassle or performance problems associated with X11 forwarding. To access one, please select an application under "Interactive HPC" from the "Desktop Apps" menu. For more information on each product, please go to its page provided below.
NAMD 2.12 has been installed on Owens; usage is via the module namd/2.12. For information on available executables and installation details see the software page for NAMD or the output of the module help command, e.g.: module help namd/2.12. On February 22, 2016, NAMD 2.12 will become available on all clusters, and 2.12 will become the default version.
A hadoop cluster can be launched within the HPC environment, but managed by the PBS/slurm job scheduler using Myhadoop framework developed by San Diego Supercomputer Center. (Please see https://www.grid.tuc.gr/fileadmin/users_data/grid/documents/hadoop/Krish...)
OSC has several different file systems where you can create files and directories. The characteristics of those systems and the policies associated with them determine their suitability for any particular purpose. This section describes the characteristics and policies that you should take into consideration in selecting a file system to use.
The various file systems are described in subsequent sections.
