Dear All:
I have been on a discovery cum learning process for the last 2 months, trying
to install and use the above Hadoop packages using Cygwin on the Windows XP
platform, after reading a text book (Hadoop in action - Chuck Lam), where he
has suggested using Cygwin to work with a Unix like en
Hello Chandler,
Yarn contains separate layers for resource management, scheduling and
map-reduce. Only scheduling and resource management layer is separated to
new daemons , changed and extended in the YARN . The map reduce
functionality and processing data(execution) in parallel framework remain
http://hadoop.apache.org/docs/r2.2.0/hadoop-yarn/hadoop-yarn-site/WritingYarnApplications.html
this one,
2014/1/19 Marco Shaw
> Can you clarify?
>
> What tutorial and specific sections are you referring to?
>
> Marco
>
> > On Jan 19, 2014, at 9:26 AM, chandler song
> wrote:
> >
> > hi all
> >
Can you clarify?
What tutorial and specific sections are you referring to?
Marco
> On Jan 19, 2014, at 9:26 AM, chandler song wrote:
>
> hi all
>
> I have some question about yarn when I read the tutorial on the website.
>
> 1) the contain is physical or logic? for example, there are thr
hi all
I have some question about yarn when I read the tutorial on the website.
1) the contain is physical or logic? for example, there are three
PCs(A,B,C) on Cluster. if I allocate one container. it will run on one PC
all the time. or the container will work on different PC at different tim
I've installed a hadoop single node cluster on a VirtualBox machine running
ubuntu 12.04LTS (64-bit) with 512MB RAM and 8GB HD. I haven't seen any
errors in my testing yet. Is 1GB RAM required? Will I run into issues when
I expand the cluster?
On Sat, Jan 18, 2014 at 11:24 PM, Alexander Pivovarov
Thank you Viacheslav!
It works and it's more simple thank I thought.
Regards,
Massimo
2014/1/15 Slava Rodionov
> Hi Massimo,
>
> I don't see why should anyone actually need any interface between Hadoop
> and CUDA in case that you're using C++?
> Why don't you just make sure that all of your d
