19%
04.12.2012
was particularly effective in HPC because clusters were composed of singe- or dual-processor (one- or two-core) nodes and a high-speed interconnect. The Message-Passing Interface (MPI) mapped efficiently onto ... HPC, parallel processing, GPU, multicore, OpenMP, MPI, many core, OpenACC, CUDA, MICs, GP-GPU
18%
17.07.2013
Hadoop version 2 expands Hadoop beyond MapReduce and opens the door to MPI applications operating on large parallel data stores.
... non-MapReduce algorithms has long been a goal of the Hadoop developers. Indeed, YARN now offers new processing frameworks, including MPI, as part of the Hadoop infrastructure.
Please note that existing ...
Hadoop version 2 expands Hadoop beyond MapReduce and opens the door to MPI applications operating on large parallel data stores.
18%
01.08.2012
Layton
##
proc ModulesHelp { } {
global version modroot
puts stderr ""
puts stderr "The mpi/mpich2/1.5b1 module enables the MPICH2 MPI library"
puts stderr "and tools for version 1.5b1
17%
01.08.2012
-open64-5.0 Written by Jeff Layton
##
proc ModulesHelp { } {
global version modroot
puts stderr “”
puts stderr “The mpi/mpich2/1.5b1-open64-5.0 module enables the MPICH2 MPI”
puts stderr
14%
30.01.2013
-5.0 Written by Jeff Layton
##
proc ModulesHelp { } {
global version modroot
puts stderr ""
puts stderr "The mpi/opempi/1.6-open64-5.0 module enables the Open MPI"
puts stderr "library and tools
13%
08.08.2018
; MPI, compute, and other libraries; and various tools to write applications. For example, someone might code with OpenACC to target GPUs and Fortran for PGI compilers, along with Open MPI, whereas
12%
21.04.2016
to Greg about his background and some of his projects in general and about his latest initiative, Singularity, in particular. (Also see the article on Singularity.)
Jeff Layton: Hi Greg, tell me bit
11%
17.05.2017
improve application performance and the ability to run larger problems. The great thing about HDF5 is that, behind the scenes, it is performing MPI-IO. A great deal of time has been spent designing
10%
14.10.2019
of classic HPC tools, such as MPI for Python (mpi4py
), a Python binding to the Message Passing Interface (MPI). Tools such as Dask focus on keeping code Pythonic, and other tools support the best performance
10%
10.09.2013
domains. Assuming that your application is scalable or that you might want to tackle larger data sets, what are the options to move beyond OpenMP? In a single word, MPI (okay, it is an acronym). MPI
