I want to deploy some R web apps with a clean separate of concerns: R
code // applications.
My choice for the R part is to use one of these two tools:
- deployR[1]
- OpenCPU[2]
and JavaScript for web apps.
OS is Fedora 22 and web server Nginx.
I have been reading documentation about these two R
arnaud gaboury writes:
> - Intel MKL: this is part of Intel Parallel Studio and is a paid
> software. Now, there is the MKL package distributed by
> Revolutionanalytics, but I am not certain how this can be distributed
> for free. Is there any kind of difference? In case of use of this
> package,
On Mon, Aug 24, 2015 at 11:29 AM, Bjørn-Helge Mevik
wrote:
> arnaud gaboury writes:
>
>> - Intel MKL: this is part of Intel Parallel Studio and is a paid
>> software. Now, there is the MKL package distributed by
>> Revolutionanalytics, but I am not certain how this can be distributed
>> for free.
On 24 August 2015 at 11:43, arnaud gaboury wrote:
| On Mon, Aug 24, 2015 at 11:29 AM, Bjørn-Helge Mevik
| wrote:
| > arnaud gaboury writes:
| >
| >> - Intel MKL: this is part of Intel Parallel Studio and is a paid
| >> software. Now, there is the MKL package distributed by
| >> Revolutionanalyti
On Mon, Aug 24, 2015 at 1:42 PM, Dirk Eddelbuettel wrote:
>
> On 24 August 2015 at 11:43, arnaud gaboury wrote:
> | On Mon, Aug 24, 2015 at 11:29 AM, Bjørn-Helge Mevik
> | wrote:
> | > arnaud gaboury writes:
> | >
> | >> - Intel MKL: this is part of Intel Parallel Studio and is a paid
> | >> sof
On 24 August 2015 at 13:46, arnaud gaboury wrote:
| On Mon, Aug 24, 2015 at 1:42 PM, Dirk Eddelbuettel wrote:
| >
| > You may be able to switch at will _after_ R has been built and installed.
|
| something like:
| # update-alternatives --config
| ?
| Reference to this blog[0]
| >
|
[0]http
I did some poking around with GDB and confirmed that the advice of
setting R_CStackLimit after init, which is echoed in the "threading
issues" section of the R-exts help document, isn't entirely useful
because init apparently loads the main package which trips over the
broken stack checking.
Stack
Another comment resulting from my testing of pqR on Windows...
With the Rtools implementation of OpenMP, threads started with an
OpenMP "parallel" construct have the state of the FPU reset so that
"long double" arithmetic is actually done only to "double" precision.
The problem can be seen with t
One thing I forgot in my previous message about problems with
psignal.c on Rtools for Windows...
One also needs to change src/gnuwin32/fixed/h/psignal.h
At a minimum, one needs the following changes:
@@ -122,8 +129,8 @@ typedef struct
/* Prototype stuff
Hi Martin,
Don't know the reason for this limitation. Here is a possible workaound:
## Work around the "only 100 arguments are allowed" error
## in base::sprintf(). Only works with 'fmt' of length 1.
sprintf2 <- function(fmt, ...)
{
MAX_NVAL <- 99L
args <- list(...)
if (length(args)
Ryan,
if you read the piece you quoted from more carefully, you'll notice it says
"Rf_initialize_R" - which is quite critical in this matter.
Cheers,
Simon
On Aug 24, 2015, at 9:18 AM, Ryan C Metzger wrote:
> I did some poking around with GDB and confirmed that the advice of
> setting R_CSta
On Aug 24, 2015, at 4:28 AM, arnaud gaboury wrote:
> I want to deploy some R web apps with a clean separate of concerns: R
> code // applications.
>
> My choice for the R part is to use one of these two tools:
> - deployR[1]
> - OpenCPU[2]
>
> and JavaScript for web apps.
>
> OS is Fedora 22 a
arnaud gaboury writes:
> On Mon, Aug 24, 2015 at 11:29 AM, Bjørn-Helge Mevik
>
>> We regularly build the standard R against MKL, simply using
>
> Do you use proprietary Intel MKL or open source package like OpenBLAS ?
As I wrote: MKL.
--
Regards,
Bjørn-Helge Mevik
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