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
Access through the Niagara login nodes niagara.scinet.utoronto.ca using your CC/SciNet account and from there you can ssh to p8t01 or p8t02 for the K80 GPUs and to p8t03 or p8t04 for the Pascal GPUs.
Softwares
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/7.3.1
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_b2 module load xlf/13.1.5_b2
Driver Version
The current NVIDIA driver version is 361.93 for p8t0[1-2], 396.44 for p8t0[3-4]
CUDA
The current installed CUDA Tookit is 8.0 for p8t0[1-2], 9.2 for p8t[3-4].
module load cuda/8.0 OR module load cuda/9.2
The CUDA driver is installed locally, however the CUDA Toolkit is installed in:
/usr/local/cuda-8.0 OR /usr/local/cuda-9.2
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