parallel::mclapply() adds or removes bindings to the global environment. Which ones?...

Looping multiple listed data frames into a single function...

foreach very slow with large number of values...

Is mclapply() with mc.cores = 1 the same as lapply()?...

mclapply with lme4 and long vectors...

Parallel processing of big rasters in R (windows)...

assembling a matrix from diagonal slices with mclapply or %dopar%, like Matrix::bandSparse...

R converting code to run in shared memory...

Versions of lapply() and mclapply() that avoid redundant processing...

mclapply and spark_read_parquet...

List all the indices that has a error message in a nested list R...

Unwanted bold-face while putting multiple ggplot charts in the same file...

weird segfault in R when using mclapply in Linux...

R - get worker name when running in parallel...

Knitr: redirect chunk code output to terminal...

how to track progress in mclapply in R in parallel package...

mclapply vs parLapply speeds...

Passing mclapply() a parameter from for (i in range)...

Julia pmap performance...

improper use case of mclapply?...

Does mclapply wait if there are dependents on output?...

Speed-up data.table group by using multiple cores and parallel programming...

Replace apply function with lapply...

function tm::tm_map encounter an error...

R, the environment of mclapply and removing variables...

Parallelization: package "parallel" instead of "mclapply"...

Application of mclapply() to a function writing to a global variable...

How do I convert "for" in "mclapply"?...

mclapply cores spending lots of time in uninterruptable sleep...

Efficient way to add-up all numbers except the ones that accompany an I using mclapply...