Thanks, Eustache.
There's the link in the second reply to an article I wrote for DZone.
Best regards,
-chanwit
--
Chanwit Kaewkasi
linkedin.com/in/chanwit
On Thu, Mar 20, 2014 at 9:39 PM, Eustache DIEMERT wrote:
> Hey, do you have a blog post or url I can share ?
>
> This is a quite cool exp
Hey, do you have a blog post or url I can share ?
This is a quite cool experiment !
E/
2014-03-20 15:01 GMT+01:00 Chanwit Kaewkasi :
> Hi Chester,
>
> It is on our todo-list but it doesn't work at the moment. The
> Parallela cores can not be utilized by the JVM. So, Spark will just
> use its A
Hi Chester,
It is on our todo-list but it doesn't work at the moment. The
Parallela cores can not be utilized by the JVM. So, Spark will just
use its ARM cores. We'll be looking at Parallela again when the JVM
supports it.
Best regards,
-chanwit
--
Chanwit Kaewkasi
linkedin.com/in/chanwit
On
I am curious to see if you have tried on Parallela supercomputer (16 or 64
cores) cluster, run spark on that should be fun.
Chester
Sent from my iPad
On Mar 19, 2014, at 9:18 AM, Chanwit Kaewkasi wrote:
> Hi Koert,
>
> There's some NAND flash built-in each node. We mount the NAND flash as
>
Hi Koert,
There's some NAND flash built-in each node. We mount the NAND flash as
a local directory for Spark to spill data out.
A DZone article, also written by me, will tell more about the cluster.
We really appreciate the design of Spark's RDD done by the Spark team.
It turned out to be perfect
Chanwit, that is awesome!
Improvements in shuffle operations should help improve life even more for
you. Great to see a data point on ARM.
Sent while mobile. Pls excuse typos etc.
On Mar 18, 2014 7:36 PM, "Chanwit Kaewkasi" wrote:
> Hi all,
>
> We are a small team doing a research on low-power
i dont know anything about arm clusters but it looks great. what are
the specs? the nodes have no local disk at all?
On Tue, Mar 18, 2014 at 10:36 PM, Chanwit Kaewkasi wrote:
> Hi all,
>
> We are a small team doing a research on low-power (and low-cost) ARM
> clusters. We built a 20-node ARM
Very cool!
-Original Message-
From: Chanwit Kaewkasi [mailto:chan...@gmail.com]
Sent: Wednesday, March 19, 2014 10:36 AM
To: user@spark.apache.org
Subject: Spark enables us to process Big Data on an ARM cluster !!
Hi all,
We are a small team doing a research on low-power (and low-cost
Hi all,
We are a small team doing a research on low-power (and low-cost) ARM
clusters. We built a 20-node ARM cluster that be able to start Hadoop.
But as all of you've known, Hadoop is performing on-disk operations,
so it's not suitable for a constraint machine powered by ARM.
We then switched t
