runBenchmarks: Function to run a set of predefined benchmarks for different...

In data.table.threads: Analyze Multi-Threading Performance for 'data.table' Functions

Function to run a set of predefined benchmarks for different data.table functions with varying thread counts

Description

Function to run a set of predefined benchmarks for different data.table functions with varying thread counts

Usage

runBenchmarks(rowCount, colCount, threadCount, times = 10, verbose = TRUE)

Arguments

rowCount	The number of rows in the data.table.
colCount	The number of columns in the data.table.
threadCount	The total number of threads to use.
times	The number of times the benchmarks are to be run.
verbose	Option (logical) to enable or disable detailed message printing.

Details

Benchmarks various data.table functions that are parallelizable (setorder, GForce_sum, subsetting, frollmean, fcoalesce, between, fifelse, nafill, and CJ) with varying thread counts.

Value

A data.table containing benchmarked timings for each data.table function with different thread counts.

data.table.threads documentation built on April 3, 2025, 10:08 p.m.