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Small improvements in function descriptions
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nunofachada committed Jan 18, 2016
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Showing 5 changed files with 16 additions and 16 deletions.
12 changes: 6 additions & 6 deletions README.md
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Expand Up @@ -82,20 +82,20 @@ _PerfAndPubTools_ is bundled with the following functions, from lowest to
highest-level of functionality:

* [get_gtime] - Given a file containing the default output of the [GNU time]
command, this function extracts the user, system and elapsed time in seconds, as
well as the percentage of CPU usage.
command, this function extracts the user, system and elapsed times in seconds,
as well as the percentage of CPU usage.

* [gather_times] - Load execution times from all files in a given folder. This
* [gather_times] - Loads execution times from files in a given folder. This
function uses [get_gtime] by default, but can be configured to use another
function to load individual benchmark files with a different format.

* [perfstats] - Determine mean times and respective standard deviations of a
* [perfstats] - Determines mean times and respective standard deviations of a
computational experiment using folders of files containing benchmarking results,
optionally plotting a scalability graph if different setups correspond to
different computational work sizes.

* [speedup] - Determine speedups using folders of files containing benchmarking
results, and optionally display speedups in a bar plot.
* [speedup] - Determines speedups using folders of files containing benchmarking
results, and optionally displays speedups in a bar plot.

* [times_table] - Returns a matrix with useful contents for using in tables for
publication, namely times (in seconds), absolute standard deviations (seconds),
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12 changes: 6 additions & 6 deletions README.mdpp
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Expand Up @@ -42,20 +42,20 @@ _PerfAndPubTools_ is bundled with the following functions, from lowest to
highest-level of functionality:

* [get_gtime] - Given a file containing the default output of the [GNU time]
command, this function extracts the user, system and elapsed time in seconds, as
well as the percentage of CPU usage.
command, this function extracts the user, system and elapsed times in seconds,
as well as the percentage of CPU usage.

* [gather_times] - Load execution times from all files in a given folder. This
* [gather_times] - Loads execution times from files in a given folder. This
function uses [get_gtime] by default, but can be configured to use another
function to load individual benchmark files with a different format.

* [perfstats] - Determine mean times and respective standard deviations of a
* [perfstats] - Determines mean times and respective standard deviations of a
computational experiment using folders of files containing benchmarking results,
optionally plotting a scalability graph if different setups correspond to
different computational work sizes.

* [speedup] - Determine speedups using folders of files containing benchmarking
results, and optionally display speedups in a bar plot.
* [speedup] - Determines speedups using folders of files containing benchmarking
results, and optionally displays speedups in a bar plot.

* [times_table] - Returns a matrix with useful contents for using in tables for
publication, namely times (in seconds), absolute standard deviations (seconds),
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2 changes: 1 addition & 1 deletion gather_times.m
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@@ -1,5 +1,5 @@
function timings = gather_times(name, folder, files)
% GATHER_TIMES Load execution times from all files in a given folder.
% GATHER_TIMES Loads execution times from files in a given folder.
%
% timings = GATHER_TIMES(name, folder, files)
%
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2 changes: 1 addition & 1 deletion perfstats.m
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@@ -1,6 +1,6 @@
function [times, std_times, times_raw, fid, impl_legend, set_legend] ...
= perfstats(do_plot, varargin)
% PERFSTATS Determine mean times and respective standard deviations of a
% PERFSTATS Determines mean times and respective standard deviations of a
% computational experiment using folders of files containing benchmarking
% results, optionally plotting a scalability graph if different setups
% correspond to different computational work sizes.
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4 changes: 2 additions & 2 deletions speedup.m
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@@ -1,7 +1,7 @@
function [speedups, times, std_times, times_raw, fids, impl_legends, ...
set_legends] = speedup(do_plot, compare, varargin)
% SPEEDUP Determine speedups using folders of files containing benchmarking
% results, and optionally display speedups in a bar plot.
% SPEEDUP Determines speedups using folders of files containing
% benchmarking results, and optionally displays speedups in a bar plot.
%
% [speedups, times, std_times, times_raw, fids, impl_legends, set_legends]
% = SPEEDUP(do_plot, compare, varargin)
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