This paper presents a graphical configuration tool for the massively parallel FETI solver implemented in the open source library ESPRESO. The main aim of this tool is to simplify and speed up the configuration process, which is currently performed by special text files. These files describe the full specification including input data, solver settings, output format, and much more. Since the configuration file contains hundreds of parameters, the graphical configuration tool makes the setting significantly simpler. In order to keep the configuration consistent, the graphical tool is built automatically from parameters loaded from the library. Apart from the configuration, the presented tool offers parallel processing of input files and 3D visualization of a given model. When the configuration is done, the tool is able to start the local computation or transfer the problem to a remote server. The latter is the first step in our efforts to provide solvers as a service functionality.

1.
L.
Říha
,
T.
Brzobohatý
,
A.
Markopoulos
,
O.
Meca
, and
T.
Kozubek
, “
Massively Parallel Hybrid Total FETI (HTFETI) Solver
,” in
Proceedings of the Platform for Advanced Scientific Computing Conference
(
2016
), pp.
7:1
7:11
.
2.
L.
Říha
,
T.
Brzobohatý
,
A.
Markopoulos
,
T.
Kozubek
,
O.
Meca
,
O.
Schenk
, and
W.
Vanroose
, “
Effcient Implementation of Total FETI Solver for Graphic Processing Units Using Schur Complement
,” in
High Performance Computing in Science and Engineering
(
2016
), pp.
85
100
.
3.
M.
Merta
,
L.
Riha
,
O.
Meca
,
A.
Markopoulos
,
T.
Brzobohaty
,
T.
Kozubek
, and
V.
Vondrak
, “
Intel Xeon Phi Acceleration of Hybrid Total FETI Solver
,” in
Advances in Engineering Software
, Vol.
112
(
2017
), pp.
124
135
.
4.
O.
Vysocký
,
M.
Beseda
,
L.
Říha
,
J.
Zapletal
,
V.
Nikl
,
L.
Michael
, and
V.
Kannan
, “
Evaluation of the hpc applications dynamic behavior in terms of energy consumption
,” in
Proceedings of the Fifth International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering
(
2017
).
5.
J.
Martinovič
,
Č.
Kuchǎr
,
V.
Svatoň
,
V.
Vondrák
,
L.
Vojáček
,
M.
Golasowski
,
A.
Ronovský
,
D.
Bezděk
,
T.
Bech
,
J.
Hartnack
,
J.
Carlson
, and
O. R.
Sorensen
, “
Hydrological Model Remote Execution and HPC as a Service
,” in
Supercomputing in Science and Engineering
(
2017
) p.
224
.
6.
V.
Svatoň
,
M.
Podhoranyi
,
R.
Vavřík
,
P.
Veteška
,
D.
Szturcová
,
D.
Vojtek
,
J.
Martinovič
, and
V.
Vondrák
, “
Floreon+: A Web-Based Platform for Flood Prediction, Hydrologic Modelling and Dynamic Data Analysis
,” in
Dynamics in GIscience
(
2018
), pp.
409
422
.
7.
Qt
, https://www.qt.io/ (18 June
2018
).
This content is only available via PDF.
You do not currently have access to this content.