search for: parallelly

Hi all, Henrik Bengtsson has done some fantastic work with {future} and, more importantly, greatly improved constructing and deconstructing a parallelized environment within R. It was with great joy that I saw Henrik slowly split off some functionality of {future} into {parallelly} package. Reading over the package?s README, he states: > The functions and features added to this package are written to be backward compatible with the parallel package, such that they may be incorporated there later. > The parallelly package comes with an open invitation for the R Core Te...

FWIW, there are indeed a few low hanging bug fixes in 'parallelly' that should be easy to incorporate into 'parallel' without adding extra maintenance. For example, in parallel::makePSOCKcluster(), it is not possible to disable SSH option '-l USER' so that it can be set in ~/.ssh/config. The remote user name will be the user name of your loc...

...to each of these plots. Basically I obtain data points while running a program in a loop, so I need to add points each of these plots as and when I get the data points specific to that particular plot. -- View this message in context: http://r.789695.n4.nabble.com/How-to-add-points-to-two-plots-parallelly-tp4190518p4190518.html Sent from the R help mailing list archive at Nabble.com. [[alternative HTML version deleted]]

...someone will incorporate them. You'll make the argument stronger for doing that if you can explain why it's better to do that than to keep them in parallely. Duncan Murdoch On 07/11/2020 1:39 p.m., Henrik Bengtsson wrote: > FWIW, there are indeed a few low hanging bug fixes in 'parallelly' > that should be easy to incorporate into 'parallel' without adding > extra maintenance. For example, in parallel::makePSOCKcluster(), it > is not possible to disable SSH option '-l USER' so that it can be set > in ~/.ssh/config. The remote user name will be the u...

...oseph wrote: > Hi all, > > Henrik Bengtsson has done some fantastic work with {future} and, more importantly, greatly improved constructing and deconstructing a parallelized environment within R. It was with great joy that I saw Henrik slowly split off some functionality of {future} into {parallelly} package. Reading over the package?s README, he states: > >> The functions and features added to this package are written to be backward compatible with the parallel package, such that they may be incorporated there later. >> The parallelly package comes with an open invitation for...

Hi all, I am using R-3.0.1 under Linux platform to embed R into my C++ code. I am facing an error while executing more than 1 R-expressions parallelly. I am executing round(X) and abs(X) parallelly on a set of 50 input rows which resulted in segmentation fault after getting the following errors. Error: unprotect_ptr: pointer not found Error: argument to 'findVar' is not an environment I am using the following code snippet for initiali...

G'day Philipp, On Fri, 16 Feb 2024 17:33:13 +0100 Philipp Schneider <philipp-schneider at gmx.net> wrote: > Thanks for all the input. It's happening again. This time for the > packages "DBI", "parallelly", "segmented", "survival", "V8". So, > RStudio shows updates for those and updating them via RStudio leads > to this output: Perhaps, as Duncan suggested, you should use update.packages() instead of install.packages(). Also, what happens if you try to do...

Hey everyone, Thanks for all the input. It's happening again. This time for the packages "DBI", "parallelly", "segmented", "survival", "V8". So, RStudio shows updates for those and updating them via RStudio leads to this output: ``` > install.packages(c("DBI", "parallelly", "segmented", "survival", "V8")) trying URL &...

Hi R-developers In the package Parallel, the function parLapply(cl, x, f) seems to allow transmission of only one parameter (x) to the function f. Hence in order to compute f(x, y) parallelly, I had to define f(x, y) as f(x) and tried to access y within the function, whereas y was defined outside of f(x). Script: library(parallel) f <- function(x) { z <- 2 * x + .GlobalEnv$y # Try to access y in the global scope. return(z) } np <- detectCores(logical = FALSE) # Two co...

...cant seconds (like 5 seconds), although it cost 0.8 seconds on average. What is the reason of this? Or how can I debug this, I mean where can I add some LOGLINE to measure these time? If I want to shorten this query time what should I do or try? BTW, I think splitting more databases and query them parallelly is not a good idea, unless xapian ensure each query is less than a expected time(Actually this 13M database is 'small', :P). -- One of my most productive days was throwing away 1000 lines of code. -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://...

I also have this questions for this. I wonder if R initiates a system environment or options to instruct the packages on the number of cores to use? It doesn't have to be mandatory for now, but at least package maintainers can have shared consensus and start to adopt this humble settings rather than abusing parallel::detectCores() to max out the number of threads by default. > On Aug 7,

...not utilize fully the Duo Core capability when you only run one instance of R. I did some number crunching today and it seems that if I only open 1 R console, it uses 50% of my CPU (either 50-50 or 100-0 on 2 cores). Then, I open the second instance and divide the work into two parts, and run them parallelly, they seems to utilize 100% of my CPU. So, my question would be that: is the computing result the same if I do them this way? Will there any mistake compared to running only one instance at a time? Thank you all. -- Regards, Anh Tran [[alternative HTML version deleted]]

...ads, block_closure, shared_closure) ... void block_closure(i32 tid, i8* shared_vars) { block } ``` Reductions are handled by a parallel_map followed by a regular reduction loop (exactly as in Hal's proposal). Serial blocks reduce to a block conditional on the index inside the function being parallelly mapped. We lower critical and ordered regions into calls to `sync_region`. Tasks are lowered (recursively) this way: ``` TASK block more_code_may_contain_more_tasks TASK_WAIT ``` desugars to ``` @llvm.parallel_map(2, task_closure, task_priv) void task_closure(i32 index, i8* private) { if...

Hello, I am trying to see if the hypervisor can be used to detect deadlocks in the guest VMs. My goal is to detect if a guest OS is deadlocked, and if it is, then create a clone of the deadlocked OS without the locking condition, and letting the clone run. While the clone runs I am hoping to generate some hints that could tell me what caused the deadlock. I simulated a deadlock/hang

On Tue, 14 Aug 2012 10:22:35 +0300 Pekka Jääskeläinen <pekka.jaaskelainen at tut.fi> wrote: > On 08/13/2012 10:54 PM, Hal Finkel wrote: > > I had thought about uses for shared-memory OpenCL implementations, > > but I don't know enough about the use cases to make a specific > > proposal. Is your metadata documented anywhere? > > It is now a quick "brute

...hinlto-index=lto/a.o.thinlto.bc -fpropeller a.o -o lto/a.mir $(clang) -O2 -c -fthinlto-index=lto/b.o.thinlto.bc -fpropeller b.o -o lto/b.mir propeller_link propeller/a.o propeller/b.o: lto/a.mir lto/b.mir # Propeller collects input Machine IR files, # spawn threads to generate object files parallelly. $(clang) -fpropeller-backend -fpropeller-prefix-replace='lto;propeller' lto/a.mir lto/b.mir final_link exe: propeller/a.o propeller/b.o # GNU ld/gold/lld links object files. $(clang) $^ -o exe A .mir may be much large than an object file. So lto/a.mir may be actually an object fi...

...quot;/stress" samba share. The pressure tools is writen by my customer, it is used in Windows Operating System to create many processes to write random files into the mapped(Samba share) directory. As I seen(while not very sure),it doesn't use own locking, all the processes are running parallelly, Use "dstat" command to monitor the networking status on nodes: In node1, "eth1 send" and "eth2 recv" are both high, it is reasonable as I expect: # dstat -N eth0,eth3,eth4 2 ----total-cpu-usage---- -dsk/total- --net/eth0----net/eth1----net/eth2-> usr sys idl wa...

...ads, block_closure, shared_closure) ... void block_closure(i32 tid, i8* shared_vars) { block } ``` Reductions are handled by a parallel_map followed by a regular reduction loop (exactly as in Hal's proposal). Serial blocks reduce to a block conditional on the index inside the function being parallelly mapped. We lower critical and ordered regions into calls to `sync_region`. Tasks are lowered (recursively) this way: ``` TASK block more_code_may_contain_more_tasks TASK_WAIT ``` desugars to ``` @llvm.parallel_map(2, task_closure, task_priv) void task_closure(i32 index, i8* private) { if...

Guys, I''m designing an application currently that will ultimately be implemented in either Rails or php5 (most likely Rails). While I''ve coded many PHP (pre-5) applications in the past, OO support was so weak that my OO designs were never truly divorced from the limitations of the language, thus I never had to consider this problem. The question is: how does Rails (and how do