+1
On Wed, Jul 12, 2017 at 7:56 PM, wrote:
> +1
>
> --
>
> Mike Dusenberry
> GitHub: github.com/dusenberrymw
> LinkedIn: linkedin.com/in/mikedusenberry
>
> Sent from my iPhone.
>
>
> > On Jul 12, 2017, at 7:51 PM, Niketan Pansare wrote:
> >
> >
> > +1
> >
> > Thanks
> >
> > Niketan
> >
> >> On
+1
--
Mike Dusenberry
GitHub: github.com/dusenberrymw
LinkedIn: linkedin.com/in/mikedusenberry
Sent from my iPhone.
> On Jul 12, 2017, at 7:51 PM, Niketan Pansare wrote:
>
>
> +1
>
> Thanks
>
> Niketan
>
>> On Jul 12, 2017, at 7:11 PM, Matthias Boehm
> wrote:
>>
>> Hi all,
>>
>> I'd l
+1
Thanks
Niketan
> On Jul 12, 2017, at 7:11 PM, Matthias Boehm
wrote:
>
> Hi all,
>
> I'd like to use the opportunity of our SystemML 1.0 release to cleanup
our
> SystemML-config file. Specifically, I'd like to rename the following two
> tags in order to correctly reflect their meaning (i.e.,
Hi all,
I'd like to use the opportunity of our SystemML 1.0 release to cleanup our
SystemML-config file. Specifically, I'd like to rename the following two
tags in order to correctly reflect their meaning (i.e., multi-threaded
operations and multi-threaded read/write in CP).
cp.parallel.matrixmul
here is the list of open tasks (disregarding open bugs), that I think would
be good to have in SystemML 1.0:
SYSTEMML-1284 Code generation
-> all remaining subtasks
SYSTEMML-1299 Language features 1.0
-> 1301, 1304/1307, 1306, 1316, 1426, 1444
SYSTEMML-1308 Runtime reatures 1.0
-> 1313, 1637
SY
Well, we explicitly cleanup all intermediates that are no longer used. You
can use -explain to output the runtime plan, which includes rmvar (remove
variable), cpvar (copy variable) and mvvar (move variable) instructions
that internally cleanup intermediates. This cleanup removes data from
memory,
HI,
As communicated earlier, we will plan to start SystemML 1.0 build sometime
toward end of this week.
Please let me know if you need additional time (approx how much) if any of
your MUST get in features for SystemML 1.0 are in intermediate state.
-ArvindArvind Surve | Spark Technology Center
Hi,
Suppose I've this following code:
a = matrix(seq(1,10), 10,1)
for(i in 1:100){
b = a + 10
write (b, "path" + ".csv", format="csv")
}
So what I'm doing is for 100 items, I'm adding a constant to a matrix than
outputting it. And this operation occurs in spark using multiple core o
