starvz_check_data

The following conditions are check in order and return FALSE if any fail
- If data is not NULL
- If data is a StarVZ Class
- If data has all tables (given by the names of the list tables)
- If each respective table has all columns (given the associated vector)
- Execute extra_func on data (that should return true or false)

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

starvz_check_data function

<dl><dt>data</dt>
<dd>starvz_data with trace data</dd>
<dt>tables</dt>
<dd>A named list (names are tables of data) of vectors (elements
are columns), if tables is null continue</dd>
<dt>extra_func</dt>
<dd>Extra function to be applied on data to do a last check</dd></dl>

Arguments

Check if all required data is available — starvz_check_data

<dl>

<dt>data</dt>
<dd>starvz_data with trace data</dd>


<dt>tables</dt>
<dd>A named list (names are tables of data) of vectors (elements
are columns), if tables is null continue</dd>


<dt>extra_func</dt>
<dd>Extra function to be applied on data to do a last check</dd>

</dl>

starvz_check_data: Check if all required data is available

Description

Usage

Value

Arguments

Examples