parallel-processing
Here are 235 public repositories matching this topic...
Taking into consideration the purpose of max-parallel-commands
it should be possible to override the value via a flag. In my case, depending on whether it's my laptop or CI server I might want to limit or raise the number of parallel executions to match my environment better. Having it in the file is not as flexible as I would expect...
Add 'Best Practices For Package Developers using Futures' vignette with instructions on, for instance,
-
How to test code, e.g. run tests with
plan(sequential)
andplan(multisession)
and don't assume thatplan(multicore)
is available. -
Make sure to shut down PSOCK clusters at the end of examples and package tests, i.e. call
plan(sequential)
at the end (e.g. #327) -
Avoid setti
-
Updated
Jan 4, 2020
I am entering the subject as a non mathematician and non data scientist. I'm a potential user of your code who is looking to solve actual down to earth practical problems. While your code apparently beautifully includes a multitude of problems and algorithms, they are really wasted on me as I simply don't get the math, the lingo or the examples.
I therefore suggest you provide a few practical e
Add documentation
There should be at least a rough overview.
-
Updated
Aug 24, 2019 - Python
- -
slength
- -
maxSize
- -
size
- -
snull
- -
(!?)
- -
(!)
- -
index
- -
index'
- -
head'
- -
shead'
- -
last'
- -
indexM
- -
headM
- -
sheadM
- -
lastM
- -
unconsM
- -
unsnocM
- -
slice
- -
slice'
- -
sliceM
- -
sslice
- -
sliceAt
- - `slic
-
Updated
Aug 28, 2019 - Python
-
Updated
May 13, 2020 - R
-
Updated
Apr 9, 2020 - Python
-
Updated
Apr 18, 2020 - Java
-
Updated
Mar 31, 2020 - Python
The Makefiles should define CXXFLAGS
etc with ?=
instead of =
so that it doesn't matter if you set the variable on the left or right and side of the make
invocation, i.e.:
VAR=val make
make VAR=val
What steps will reproduce the problem?
1. man pscp (or prsync or pslurp)
2. look in the NAME section
What is the expected output? What do you see instead?
expected (e.g.): pscp - parallel secure copy
see instead: parallel process kill program
What version of the product are you using?
2.3.1
On what operating system?
cygwin
Please provide any additional information below.
commit 846796e941c
-
Updated
May 25, 2020 - Java
Some problems/algorithms seem to have an inconsistent python exposition in terms of types.
For instance, in ../src/problems/dtlz.cpp
we have:
dtlz::dtlz(unsigned prob_id, vector_double::size_type dim, vector_double::size_type fdim, unsigned alpha)
But in the ../pygmo/expose_problems_0.cpp
it is exposed as:
dtlz_p.def(bp::init<unsigned, unsigned, unsigned, unsigned>
I
-
Updated
Mar 28, 2020 - R
-
Updated
May 18, 2020 - Java
-
Updated
Apr 13, 2019 - R
Add a QUICKSTART.md
What do you propose?
The idea is to create a quick start document at the root of the repo, to illustrate how to quickly get started with JPPF, like an end-to-end HelloWorld. This would include how to setup and start a grid, full code example and expected output.
We shouldalso add a link to it in the main readme.md
What are the expected benefits and drawbacks?
The expectation is
-
Updated
Sep 20, 2017 - C++
-
Updated
Feb 25, 2018 - Elixir
-
Updated
Dec 20, 2017 - Elixir
-
Updated
Feb 1, 2020 - Python
-
Updated
May 20, 2020 - Julia
-
Updated
Apr 5, 2019 - Rust
-
Updated
Mar 23, 2020 - C++
-
Updated
Oct 31, 2017 - C#
Improve this page
Add a description, image, and links to the parallel-processing topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the parallel-processing topic, visit your repo's landing page and select "manage topics."
Hi @jmcarpenter2,
Dear Swifter Folks,
Recently, i found the speed when using swifter is 5-10x slower than using vanilla pandas apply for case that the process is not vectorized (my case is doing text preprocessing).
The experiment is like this: