hpx: C++ runtime for parallel and distributed applications

Contents

  1. Overview of package
  2. Overview of package
    1. General usage
  3. Availability of package by cluster

Overview of package

General information about package
Package: hpx
Description: C++ runtime for parallel and distributed applications
For more information: http://stellar.cct.lsu.edu/tag/hpx
Categories:
License: Unknown

General usage information

HPX (High Performance ParalleX) is a general purpose C++ runtime system for parallel and distributed applications of any scale. It strives to provide a unified programming model which transparently utilizes the available resources to achieve unprecedented levels of scalability. This library strictly adheres to the C++11 Standard and leverages the Boost C++ Libraries which makes HPX easy to use, highly optimized, and very portable

This module will add the hpccxx and related commands, as well as a bunch of example codes, to your PATH.

The following environmental variables have been defined:

  • \$HPX_ROOT has been set to the root of the hpx installation
  • \$HPX_LIBDIR points to the directory containing the libraries
  • \$HPX_INCDIR points to the directory containing the header files

You will probably wish to use these by adding the following flags to your compilation command (e.g. to CFLAGS in your Makefile):

  • -I\$HPX_INCDIR
and the following flags to your link command (e.g. LDFLAGS in your Makefile):
  • -L\$HPX_LIBDIR -Wl,-rpath,\$HPX_LIBDIR

All compiled libraries are multithread

Available versions of the package hpx, by cluster

This section lists the available versions of the package hpxon the different clusters.

Available versions of hpx on the Deepthought2 cluster (RHEL8)

Available versions of hpx on the Deepthought2 cluster (RHEL8)
Version Module tags CPU(s) optimized for GPU ready?
1.4.1 hpx/1.4.1 ivybridge Y

Available versions of hpx on the Juggernaut cluster

Available versions of hpx on the Juggernaut cluster
Version Module tags CPU(s) optimized for GPU ready?
1.4.1 hpx/1.4.1 skylake_avx512, x86_64, zen Y