P8
| P8 | |
|---|---|
| Installed | June 2016 |
| Operating System | Linux RHEL 7.2 le / Ubuntu 16.04 le |
| Number of Nodes | 2x Power8 with 2x NVIDIA K80, 2x Power 8 with 4x NVIDIA P100 |
| Interconnect | Infiniband EDR |
| Ram/Node | 512 GB |
| Cores/Node | 2 x 8core (16 physical, 128 SMT) |
| Login/Devel Node | p8t0[1-2] / p8t0[3-4] |
| Vendor Compilers | xlc/xlf, nvcc |
Specifications
The P8 Test System consists of of 4 IBM Power 822LC Servers each with 2x8core 3.25GHz Power8 CPUs and 512GB Ram. Similar to Power 7, the Power 8 utilizes Simultaneous MultiThreading (SMT), but extends the design to 8 threads per core allowing the 16 physical cores to support up to 128 threads. 2 nodes have two NVIDIA Tesla K80 GPUs with CUDA Capability 3.7 (Kepler), consisting of 2xGK210 GPUs each with 12 GB of RAM connected using PCI-E, and 2 others have 4x NVIDIA Tesla P100 GPUs each wit h 16GB of RAM with CUDA Capability 6.0 (Pascal) connected using NVlink.
Compile/Devel/Test
First login via ssh with your scinet account at login.scinet.utoronto.ca, and from there you can proceed to p8t0[1-2] for the K80 GPUs and p8t0[3-4] for the Pascal GPUs.
Software for
GNU Compilers
To load the newer advance toolchain version use:
For p8t0[1-2]
module load gcc/5.3.1
For p8t0[3-4]
module load gcc/6.2.1
IBM Compilers
To load the native IBM xlc/xlc++ compilers
For p8t0[1-2]
module load xlc/13.1.4 module load xlf/13.1.4
For p8t0[3-4]
module load xlc/13.1.5 module load xlf/13.1.5
Driver Version
The current NVIDIA driver version is 361.93
CUDA
The current installed CUDA Tookit is 8.0
module load cuda/8.0
The CUDA driver is installed locally, however the CUDA Toolkit is installed in:
/usr/local/cuda-8.0
OpenMPI
Currently OpenMPI has been setup on the four nodes connected over QDR Infiniband.
For p8t0[1-2]
$ module load openmpi/1.10.3-gcc-5.3.1 $ module load openmpi/1.10.3-XL-13_15.1.4
For p8t0[3-4]
$ module load openmpi/1.10.3-gcc-6.2.1 $ module load openmpi/1.10.3-XL-13_15.1.5
PE
IBM's Parallel Environment (PE), is available for use with XL compilers using the following
$ module pe/xl.perf
mpiexec -n 4 ./a.out
documentation is here