resource_utilization_tree_node

Use starvz_data to create a line plot of the memory usage in MB of
active nodes along the application execution time

Performance analysis workflow that combines the power of the R
language (and the tidyverse realm) and many auxiliary tools to
provide a consistent, flexible, extensible, fast, and versatile
framework for the performance analysis of task-based applications
that run on top of the StarPU runtime (with its MPI (Message
Passing Interface) layer for multi-node support).  Its goal is to
provide a fruitful prototypical environment to conduct performance
analysis hypothesis-checking for task-based applications that run
on heterogeneous (multi-GPU, multi-core) multi-node HPC
(High-performance computing) platforms.

Vinicius Garcia Pinto

starvz

R-Based Visualization Techniques for Task-Based Applications

Lucas Mello Schnorr

Lucas Leandro Nesi

Marcelo Cogo Miletto

Guilherme Alles

Arnaud Legrand

Luka Stanisic

Rémy Drouilhet

resource_utilization_tree_node function

<dl><dt>Application</dt>
<dd>starvz application data</dd>
<dt>Atree</dt>
<dd>starvz elimination tree data</dd>
<dt>step</dt>
<dd>size in milliseconds for the time aggregation step</dd>
<dt>group_pruned</dt>
<dd>aggregate computations of the same parent pruned nodes</dd>
<dt>performance_metric</dt>
<dd>Performance metric to save in Value1 [Time, GFlops]</dd></dl>

Arguments

Create the node memory usage plot — resource_utilization_tree_node

<dl>

<dt>Application</dt>
<dd>starvz application data</dd>


<dt>Atree</dt>
<dd>starvz elimination tree data</dd>


<dt>step</dt>
<dd>size in milliseconds for the time aggregation step</dd>


<dt>group_pruned</dt>
<dd>aggregate computations of the same parent pruned nodes</dd>


<dt>performance_metric</dt>
<dd>Performance metric to save in Value1 [Time, GFlops]</dd>

</dl>

resource_utilization_tree_node: Create the node memory usage plot

Description

Usage

Arguments