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From: Dirk Eddelbuettel
Sent: Wednesday, 18 August 2021 11:40 AM
To: Dillon Hammill
Cc: Dirk Eddelbuettel ; rcpp-devel@lists.r-forge.r-project.org
Subject: Re: [Rcpp-devel] Apply Defined Rcpp Functions In Parallel
On 18 August 2021 at 01:26, Dillon Hammill wrote:
| Thanks for your help D
From: Dirk Eddelbuettel
Sent: Wednesday, 18 August 2021 5:37 AM
To: Dillon Hammill
Cc: Dirk Eddelbuettel ; rcpp-devel@lists.r-forge.r-project.org
Subject: Re: [Rcpp-devel] Apply Defined Rcpp Functions In Parallel
On 17 August 2021 at 19:19, Dillon Hammill wrote
On 18 August 2021 at 01:26, Dillon Hammill wrote:
| Thanks for your help Dirk, I think I have everything I need to get things
working now. I just needed a push in the right direction to discover wrap and
as from Rcpp - they are awesome!
They are indeed. (And, if I may, feature prominently in t
-devel@lists.r-forge.r-project.org
Subject: Re: [Rcpp-devel] Apply Defined Rcpp Functions In Parallel
Thanks Dirk.
Please correct me if I am wrong, but does this mean that my Rcpp functions
should be written using standard STL objects too - and I just include wrappers
to handle conversion of the inp
ubject: Re: [Rcpp-devel] Apply Defined Rcpp Functions In Parallel
Dillon,
The point of RMatrix and RVector in RcppParallel is to shield objects inside
the RcppParallel blocks using Intel TBB from any interaction with the outer R
process which may, or may not, run a gc() to rearrange its memory.
On 17 August 2021 at 19:19, Dillon Hammill wrote:
| What is the easiest way to perform this conversion (say for vector to RVector
or vector of vectors to matrix)?
I always find that the existing RcppParallel that JJ and Kevin set up years
ago excels there. Study them, they do it right, they wor
Hi everyone,
Apologies if this is the wrong place to ask for help with Rcpp/RcppParallel.
I have recently began using Rcpp and RcppParallel to speed up an algorithm that
I have written in R ( I still have a lot to learn!). I have had no issues
converting my R code into Rcpp code, but I am strug
Dillon,
The point of RMatrix and RVector in RcppParallel is to shield objects inside
the RcppParallel blocks using Intel TBB from any interaction with the outer R
process which may, or may not, run a gc() to rearrange its memory.
Where they work, you should not use Rcpp's own NumericMatrix and a
