12%
15.12.2016
implemented the HPF extensions, but others did not. While the compilers were being written, a Message Passing Interface (MPI) standard for passing data between processors, even if they weren’t on the same node
14%
21.04.2016
for certain usage modules or system architectures, especially with parallel MPI job execution.
Singularity for the Win!
Kurtzer, who works at Lawrence Berkeley National Laboratory (LBNL), is a long-time open
18%
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
12%
25.02.2016
is causing the core to become idle. The reasons for CPU utilization to drop could be from waiting on I/O (reads or writes) or because of network traffic from one node to another (possibly MPI communication
12%
14.01.2016
. Be sure to keep a sys on it.
Info
3D XPoint: https://en.wikipedia.org/wiki/3D_XPoint
Layton, J., and Barton, E. "Fast Forward Storage & IO," http://storageconference.us/2014/Presentations
14%
24.09.2015
is not easy to accomplish; consequently, a solution has been sought that allows each TP to read/write data from anywhere in the file, hopefully without stepping on each others’ toes.
MPI-I/O
Over time, MPI
12%
12.08.2015
in the name of better performance. Meanwhile, applications and tools have evolved to take advantage of the extra hardware, with applications using OpenMP to utilize the hardware on a single node or MPI to take
14%
16.07.2015
Programmers use a number of compilers, libraries, MPI libraries/tools, and other tools to write applications. For example, someone might code with OpenACC, targeting GPUs and Fortran, whereas another person
13%
16.06.2015
.g., a message-passing interface [MPI] library or libraries, compilers, and any additional libraries needed by the application). Perhaps surprisingly, the other basic tools are almost always installed by default
13%
12.03.2015
definitely stress the processor(s) and memory, especially the bandwidth. I would recommend running single-core tests and tests that use all of the cores (i.e., MPI or OpenMP).
A number of benchmarks