hpc

I've run into a minor HPC problem after running some tests on a 80core (160HT) nehalem architecture with 2Tb DRAM: A server with more than 2 sockets starts to stall a lot (delay) as each thread starts to request information about objects on the "wrong" socket, i.e. requests goes from a thread that is working on some objects on the one socket to pull information that is actually in the DRAM on the other socket. The cores appear 100% utilized, even though I know that they are waiting for the remote socket to return the request. As most of the code runs asynchronously it is a lot easier to

I submitted several jobs via SLURM to our school's HPC cluster. Because the shell scripts all have the same name, so the job names appear exactly the same. It looks like [myUserName@rclogin06 ~]$ sacct -u myUserName JobID JobName Partition Account AllocCPUS State ExitCode ------------ ---------- ---------- ---------- ---------- ---------- -------- 12577766 run.sh general ourQueue_+ 4 RUNNING 0:0 12659777 run.sh general ourQueue_+ 8 RUNNING 0:0 12675983 run.sh general ourQueue_+ 16 RUNNING 0:0 How can I know from which directory a job is submitted so that I can differentiate the jobs? You can

I'm not a 3D or HPC guy, but I've been tasked with doing some research into those fields for a possible HPC application. Reading benchmarks, comparisons and specs between nVidia Quadro and Geforce cards, it seems that for similar generation cards: Quadro is 2x-3x the price of Geforce hardware wise, the differences are not that great in benchmarks (3ds Max, Maya and some others) Quadro cards are much better performing than Geforce ones Does anyone know what are the exact and precise technical differences that can cause such better performance? My speculation (and what can be generally read on

In my lab, we have several servers used for the simulation programs, but they worked independently. Now I want to combine them to become a cluster using MPICH to make them communicate. But there exists a problem, which is that these servers have different OSs. Some of them are Redhat, and some of them are Ubuntu. And on the homepage of MPICH, I saw that download sites of these two different operating systems are different, so will it be possible to set up a cluster with different operating system? And how to do it? The reason why I don't want to reinstall these servers is that there are too

Usually when I use mpirun, I can "overload" it, using more processors than there acctually are on my computer. For example, on my four-core mac, I can run mpirun -np 29 python -c "print 'hey'" no problem. I'm on another machine now, which is throwing the following error: $ mpirun -np 25 python -c "print 'hey'" -------------------------------------------------------------------------- There are not enough slots available in the system to satisfy the 25 slots that were requested by the application: python Either request fewer slots for your application, or make more slots available for use. ----