Decommissioned: BlueGene/Q (BGQ)

November 7, 2016 in Decommissioned Systems

4rackbgqThe BGQ is a Southern Ontario Smart Computing Innovation Platform (SOSCIP) BlueGene/Q supercomputer located at the University of Toronto’s SciNet HPC facility. The SOSCIP multi-university/industry consortium is funded by the Ontario Government and the Federal Economic Development Agency for Southern Ontario [1]. A half-rack of BlueGene/Q (8,192 cores) was furthermore purchased by the Li Ka Shing Institute of Virology at the University of Alberta in late fall 2014 and integrated into the existing BGQ system.

The BGQ is an extremely dense and energy efficient 3rd generation Blue Gene IBM supercomputer built around a system-on-a-chip compute node that has a 16core 1.6GHz PowerPC based CPU (PowerPC A2) with 16GB of Ram. It consists of 4,096 nodes with a total of 65,536 core and upto 262144 hardware threads. The nodes run a lightweight Linux-like OS and are interconnected in a 5D torus. The compute nodes are accessed through a queuing system.

A quickstart guide to using the BGQ can be found on SciNet’s technical documentation wiki.

Decommissioned: SOSCIP GPU Cluster (SGC)

September 3, 2016 in Decommissioned Systems

The SOSCIP GPU Cluster (SGC)is a Southern Ontario Smart Computing Innovation Platform (SOSCIP) resource located at the University of Toronto’s SciNet HPC facility. The SOSCIP multi-university/industry consortium is funded by the Ontario Government and the Federal Economic Development Agency for Southern Ontario.

The SOSCIP GPU Cluster consists of of 14 IBM Power 822LC “Minsky” Servers each with 2x10core 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 20 physical cores to support up to 160 threads. Each node has 4x NVIDIA Tesla P100 GPUs each with 16GB of RAM with CUDA Capability 6.0 (Pascal) connected using NVlink.

Allocations of this system are done through Southern Ontario Smart Computing Innovation Platform (SOSCIP)

A quickstart guide to using this GPU cluster can be found on SciNet’s technical documentation wiki.

Decommissioned: Power 8 GPU Test System (P8)

June 9, 2016 in Decommissioned Systems

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.

A quickstart guide to running on SciNet’s P8 cluster is available on our technical documentation wiki.