PAPI provides the tool designer and application engineer with a consistent interface and methodology for use of the performance counter hardware found in most major microprocessors. PAPI enables software engineers to see, in near real time, the relation between software performance and processor events.
This software will be of interest only to HPC experts.
ParMETIS (Parallel Graph Partitioning and Fill-reducing Matrix Ordering) is an MPI-based parallel library that implements a variety of algorithms for partitioning unstructured graphs, meshes, and for computing fill-reducing orderings of sparse matrices. ParMETIS extends the functionality provided by METIS and includes routines that are especially suited for parallel AMR computations and large scale numerical simulations. The algorithms implemented in ParMETIS are based on the parallel multilevel k-way graph-partitioning, adaptive repartitioning, and parallel multi-constrained partitioning schemes developed in Karypis lab.
METIS (Serial Graph Partitioning and Fill-reducing Matrix Ordering) is a set of serial programs for partitioning graphs, partitioning finite element meshes, and producing fill reducing orderings for sparse matrices. The algorithms implemented in METIS are based on the multilevel recursive-bisection, multilevel k-way, and multi-constraint partitioning schemes developed in Karypis lab.
OSC timely installs new software versions on OSC systems, and periodically do coordinated software refresh (update the default versions to be more up-to-date and remove some versions that are quite out of date) on OSC systems. While we encourage everyone to use up-to-date software, the old defaults will still be available till the next software refresh, in case some users prefer to use the old defaults. The software refresh is usually made during the scheduled downtime, while we will send out notifications to all users ahead of time for any questions/suggestions/concerns.
Fortran, C and C++ compilers produced by the GNU Project.
The GNU Compiler Collection (GCC) are available on all our clusters. These are the versions currently available:
NCAR Graphics is a Fortran and C based software package for scientific visualization. NCL (The NCAR Command Language), is a free interpreted language designed specifically for scientific data processing and visualization. It is a product of the Computational & Information Systems Laboratory at the National Center for Atmospheric Research (NCAR) and sponsored by the National Science Foundation.
Dedicated compute services at OSC (also refered to as Condo model) involves users purchasing one or more compute nodes for the shared cluster while OSC provides the infrastructure, as well as maintenance and services. Prof. Gaitonde's Condo on Pitzer cluster is owned by Prof. Datta Gaitonde from Mechanical and Aerospace Engineering Department of Ohio State University.
Detailed system specifications:
48 standard dense compute nodes
PnetCDF is a library providing high-performance parallel I/O while still maintaining file-format compatibility with Unidata's NetCDF, specifically the formats of CDF-1 and CDF-2. Although NetCDF supports parallel I/O starting from version 4, the files must be in HDF5 format. PnetCDF is currently the only choice for carrying out parallel I/O on files that are in classic formats (CDF-1 and 2). In addition, PnetCDF supports the CDF-5 file format, an extension of CDF-2, that supports more data types and allows users to define large dimensions, attributes, and variables (>2B elements).
Q-Chem is a general purpose ab initio electronic structure program. Its latest version emphasizes Self-Consistent Field, especially Density Functional Theory, post Hartree-Fock, and innovative algorithms for fast performance and reduced scaling calculations. Geometry optimizations, vibrational frequencies, thermodynamic properties, and solution modeling are available.
Boost is a set of C++ libraries that provide helpful data structures and numerous support functions in a wide range of aspects of programming, such as, image processing, gpu programming, concurrent programming, along with many algorithms. Boost is portable and performs well on a wide variety of platforms.
