oehm <mboe...@googlemail.com>
Sent: Saturday, June 17, 2017 12:45:51 AM
To: dev@systemml.apache.org
Subject: Re: Unexpected Executor Crash
this might indeed be an robustness issues of rmm which is a replication
based matrix multiply operator. I'll have a look. For the meantime, you can
incr
> > > Hi Anthony,
> > >
> > > Could you retry your scenario without the '-exec spark' option? By
> > > default, SystemML will run in hybrid_spark mode which is more
> efficient.
> > >
> > > Thanks,
> > > Glenn
> > >
&g
ubject: Unexpected Executor Crash
Hi SystemML Developers,
I'm running the following simple DML script under SystemML 0.14:
M = read('/scratch/M5.csv')
N = read('/scratch/M5.csv')
MN = M %*% N
if (1 == 1) {
print(as.scalar(MN[1,1]))
}
The matrix M is square and about 5GB on disk (stored in HD
Hi SystemML Developers,
I'm running the following simple DML script under SystemML 0.14:
M = read('/scratch/M5.csv')
N = read('/scratch/M5.csv')
MN = M %*% N
if (1 == 1) {
print(as.scalar(MN[1,1]))
}
The matrix M is square and about 5GB on disk (stored in HDFS). I am
submitting the script
