Other packages > Find by keyword >

starvz  

R-Based Visualization Techniques for Task-Based Applications
View on CRAN: Click here


Download and install starvz package within the R console
Install from CRAN:
install.packages("starvz")

Install from Github:
library("remotes")
install_github("cran/starvz")

Install by package version:
library("remotes")
install_version("starvz", "0.8.4")



Attach the package and use:
library("starvz")
Maintained by
Lucas Leandro Nesi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-01
Latest Update: 2025-06-18
Description:
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.
How to cite:
Lucas Leandro Nesi (2020). starvz: R-Based Visualization Techniques for Task-Based Applications. R package version 0.8.4, https://cran.r-project.org/web/packages/starvz. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:09), 0.4.0 (2020-09-01 18:20), 0.5.0 (2021-03-25 14:50), 0.6.0 (2021-10-16 16:10), 0.7.0 (2021-11-05 16:50), 0.7.1 (2022-02-13 14:00), 0.8.0 (2024-02-24 00:50), 0.8.2 (2024-09-08 21:00), 0.8.3 (2025-06-19 00:00)
Other packages that cited starvz R package
View starvz citation profile
Other R packages that starvz depends, imports, suggests or enhances
Complete documentation for starvz
Functions, R codes and Examples using the starvz R package
Some associated functions: cholesky_colors . data_name_coordinates . data_name_handle . data_name_tag . handles_presence_states . lu_colors . multiple_snaps . panel_abe_solution . panel_activenodes . panel_atree . panel_atree_structure . panel_compare_tree . panel_dist2d . panel_gflops . panel_gflops_computed_difference . panel_gpubandwidth . panel_handles . panel_hete_imbalance . panel_imbalance . panel_kiteration . panel_lackready . panel_memory_heatmap . panel_memory_snap . panel_memory_state . panel_model_gflops . panel_mpibandwidth . panel_mpiconcurrent . panel_mpiconcurrentout . panel_mpistate . panel_node_events . panel_node_summary . panel_nodememuse . panel_pmtool_kiteration . panel_pmtool_st . panel_power_imbalance . panel_ready . panel_resource_usage_task . panel_st . panel_st_agg_dynamic . panel_st_agg_node . panel_st_agg_static . panel_st_raw . panel_st_runtime . panel_submitted . panel_title . panel_usedmemory . panel_utilheatmap . panel_utiltreedepth . panel_utiltreenode . plot.starvz_data . pre_handle_gantt . print.starvz_data . qrmumps_colors . resource_utilization_tree_node . starvz_assemble . starvz_check_data . starvz_phase1 . starvz_plot . starvz_plot_list . starvz_read . starvz_read_config . starvz_sample_lu . starvz_set_log . summary.starvz_data . 
Some associated R codes: RcppExports.R . phase1.R . phase1_outlier.R . phase1_parse_csv.R . phase2.R . phase2_aggregation.R . phase2_applications.R . phase2_atree.R . phase2_config.R . phase2_events.R . phase2_gaps.R . phase2_imbalance.R . phase2_kchart.R . phase2_lackready.R . phase2_memory.R . phase2_metrics.R . phase2_mpi.R . phase2_node_summary.R . phase2_pmtool.R . phase2_states_chart.R . phase2_themes.R . phase2_time_integration.R . phase2_util.R . phase2_var_chart.R . phase2_var_panels.R . read_functions.R . starvz_data.R . write_functions.R .  Full starvz package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  
blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency  
splm  
Econometric Models for Spatial Panel Data
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency  
plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA