Displaying 5 results from an estimated 5 matches for "nbrofworkers".
2018 Feb 19
2
[parallel] fixes load balancing of parLapplyLB
Hi, I'm trying to understand the rationale for your proposed amount of
splitting and more precisely why that one is THE one.
If I put labels on your example numbers in one of your previous post:
nbrOfElements <- 97
nbrOfWorkers <- 5
With these, there are two extremes in how you can split up the
processing in chunks such that all workers are utilized:
(A) Each worker, called multiple times, processes one element each time:
> nbrOfElements <- 97
> nbrOfWorkers <- 5
> nbrOfChunks <- nbrOfElements
>...
2018 Feb 26
2
[parallel] fixes load balancing of parLapplyLB
...com> wrote:
>> Hi, I'm trying to understand the rationale for your proposed amount of
>> splitting and more precisely why that one is THE one.
>>
>> If I put labels on your example numbers in one of your previous post:
>>
>> nbrOfElements <- 97
>> nbrOfWorkers <- 5
>>
>> With these, there are two extremes in how you can split up the
>> processing in chunks such that all workers are utilized:
>>
>> (A) Each worker, called multiple times, processes one element each
>> time:
>>
>>> nbrOfElements <- 97...
2018 Feb 20
0
[parallel] fixes load balancing of parLapplyLB
...<henrik.bengtsson at gmail.com> wrote:
>Hi, I'm trying to understand the rationale for your proposed amount of
>splitting and more precisely why that one is THE one.
>
>If I put labels on your example numbers in one of your previous post:
>
> nbrOfElements <- 97
> nbrOfWorkers <- 5
>
>With these, there are two extremes in how you can split up the
>processing in chunks such that all workers are utilized:
>
>(A) Each worker, called multiple times, processes one element each
>time:
>
>> nbrOfElements <- 97
>> nbrOfWorkers <- 5
>&...
2018 Mar 01
0
[parallel] fixes load balancing of parLapplyLB
...Hi, I'm trying to understand the rationale for your proposed amount of
>>> splitting and more precisely why that one is THE one.
>>>
>>> If I put labels on your example numbers in one of your previous post:
>>>
>>> nbrOfElements <- 97
>>> nbrOfWorkers <- 5
>>>
>>> With these, there are two extremes in how you can split up the
>>> processing in chunks such that all workers are utilized:
>>>
>>> (A) Each worker, called multiple times, processes one element each
>>> time:
>>>
>>...
2018 Feb 12
2
[parallel] fixes load balancing of parLapplyLB
Dear R-Devel List,
**TL;DR:** The function **parLapplyLB** of the parallel package has [reportedly][1] (see also attached RRD output) not
been doing its job, i.e. not actually balancing the load. My colleague Dirk Sarpe and I found the cause of the problem
and we also have a patch to fix it (attached). A similar fix has also been provided [here][2].
[1]: