commit b3bc215443956376db2508057e72be0b2d8c5af0
parent d5ca7544b2367bd68371b9acd56b634896ceca18
Author: Ivan Gankevich <igankevich@ya.ru>
Date: Mon, 7 Aug 2017 14:18:04 +0300
Add platform configuration and model input parameters.
Diffstat:
1 file changed, 24 insertions(+), 4 deletions(-)
diff --git a/arma-thesis.org b/arma-thesis.org
@@ -3436,6 +3436,9 @@ kernel is routed to one of the thread from the device thread pool.
Non-homogeneous kernels may be handled by predicting their execution time, but
such kernels are not present in ARMA model implementation.
+**** Parallel AR, MA and LH implementations.
+
+
**** Performance of OpenMP and OpenCL implementations.
:PROPERTIES:
:header-args:R: :results output org
@@ -3456,6 +3459,17 @@ transcendental functions and heavy use of FFT, not to mention that high
convergence rate and non-existence of periodicity allows to use far fewer
coefficients compared to LH model.
+#+name: tab-gpulab
+#+caption: GPU test platform configuration.
+#+attr_latex: :booktabs t
+| CPU | AMD FX-8370 |
+| RAM | 16Gb |
+| GPU | GeForce GTX 1060 |
+| GPU memory | 6GB |
+| HDD | WDC WD40EZRZ-00WN9B0, 5400rpm |
+| No. of CPU cores | 4 |
+| No. of threads per core | 2 |
+
ARMA implementation uses several libraries of mathematical functions, numerical
algorithms and visualisation primitives (listed in table\nbsp{}[[tab-arma-libs]]),
and was implemented using several parallel programming technologies (OpenMP,
@@ -3467,10 +3481,16 @@ surface. For each technology the programme was recompiled and run multiple times
and performance of each top-level subroutine was measured using system clock.
Results of benchmarks of the technologies are summarised in
table\nbsp{}[[tab-arma-performance]]. All benchmarks were run on a machine equipped
-with a GPU, characteristics of which are summarised in table\nbsp{}. In all
-benchmarks wavy surface generation takes the most of the running time, whereas
-velocity potential calculation together with other subroutines only a small
-fraction of it.
+with a GPU, characteristics of which are summarised in table\nbsp{}[[tab-gpulab]].
+All benchmarks were run with the same input parameters for all the models:
+realisation length 10000s and output grid size \(40\times40\)m. The only
+parameter that was different is the order (the number of coefficients): order of
+AR and MA model was \(7,7,7\) and order of LH model was \(40,40\). This is due
+to higher number of coefficient for LH model to eliminate periodicity.
+
+In all benchmarks wavy surface generation takes the most of the running time,
+whereas velocity potential calculation together with other subroutines only a
+small fraction of it.
#+name: tab-arma-libs
#+caption: A list of mathematical libraries used in ARMA model implementation.
