For a detailed overview and guides to accessing CRC resources, see "Resource Documentation" under User Support. Apply for an account at https://crc.pitt.edu/apply.
Pitt CRC Hardware Resources
Pitt Center for Research Computing provides different types of hardware for different advanced computing needss
- MPI: distributed computing across nodes using the Message Passing Interface. MPI nodes are for tightly-coupled codes that are parallelized using the Message Passing Interface (MPI) and benefit from the low-latency Omni-Path (OP) or Infiniband (IB) interconnect fabrics.
- SMP: shared memory processing on a single node. SMP nodes are appropriate for programs that are parallelized using the shared memory framework. They are also appropriate for those who want to move up to supercomputers while keeping the programming style of their laptops, such as running MATLAB. These nodes have up to 512GB of shared memory.
- GPU: accelerated computing using Graphic Processing Units, GPU nodes are targeted for applications specifically written to take advantage of the inherent parallelism in general purpose graphics processing unit architectures.
- VIZ: graphic user interface (GUI) interface, especially for visualization projects.
- HTC: HTC nodes are designed for High Throughput Computing workflows such as gene sequence analysis and data-intensive analytics.
Investing in Hardware
Pitt CRC encourages researchers to allocate grant dollars or startup funds to enable CRC to purchase hardware that becomes part of computing resources for the broader Pitt community, rather than buying and managing their own hardware or maintaining inefficient old hardware that becomes a maintenance burden. Faculty who do so are called investors. Find information on the benefits of investing at https://crc.pitt.edu/hardware_investing_policy.
Find the full documentation for MPI, SMP and GPU at https://crc.pitt.edu/h2p.
MPI (Omni-path Network)
dual 14-core Broadwell CPU (Intel Xeon E5-2690 2.60 GHz)
- 96 nodes
- 64 GB RAM
- 256 GB SSD
- Omni-path
dual 14-core Skylake CPU (Intel Xeon Gold 6132 2.60 GHz)
- 36 nodes
- 192 GB RAM
- 256 GB SSD & 500 GB SSD
- Omni-path
MPI (Infiniband Network)
dual 10-core Haswell CPU (Intel Xeon E5-2660 v3 2.6 GHz)
- 32 nodes
- 128 GB RAM
- 256 GB SSD
- FDR Infiniband
SMP
dual 16-core Rome CPU (AMD EPYC 7302 3.0 GHz); 10GigE (will be deployed in mid-Jan 2020)
- 58 nodes
- 256 GB RAM
- 256 GB SSD & 1TB SSD
dual 12-core Skylake CPU (Intel Xeon Gold 6126 2.60 GHz); 10GigE
- 132 nodes
- 192 GB RAM
- 256 GB SSD & 500 GB SSD
dual 6-core Broadwell CPU (Intel Xeon E5-2643 v4 3.40 GHz); 10GigE
- 24 nodes
- 256 GB RAM
- 256 GB SSD & 1 TB SSD
- 2 Nodes
- 256 GB RAM
- 256 GB SSD & 3 TB SSD
- 2 Nodes
- 512 GB RAM
- 256 GB SSD & 3 TB SSD
- 1 Node
- 256 GBRAM
- 256 GB SSD & 6 TB NVMe
dual 16-core Naples CPU (AMD 2.40 GHz); 10GigE
- 1 nodes
- 1024 GB RAM
- 256 GB SSD & 1TB NVMe
GPU
- 7 nodes with 4 NVIDIA Titan X GPUs/node. Each GPU has 12GB of memory. The host node has 128GB RAM.
- 8 nodes with 4 NVIDIA GTX1080 GPUs/node. Each GPU has 8GB of memory. The host node has 128GB RAM.
- 10 nodes with 4 NVIDIA GTX1080 Ti GPUs/node. Each GPU has 11GB of memory. The host node has 96GB RAM.
- 1 node with 2 NVIDIA K40 GPUs/node. Each GPU has 12GB of memory. The host node has 128GB RAM.
- 1 nodes with 4 NVIDIA V100 32GB GPUs/node. Each GPU has 32GB of memory. The host node has 192GB RAM.
VIZ (GUI Interface)
dual 14-core Broadwell CPU (Intel Xeon E5-2680 v4 2.4 GHz)
- 1 node
- 256 GB RAM
- 1.6 TB SSD (/scratch)
- 2 NVIDIA GTX1080 Graphic Cards
Find the full documentations for VIZ at: crc.pitt.edu/viz.
HTC
The HTC cluster is designed to run high throughput computing jobs to support bioinformatics and health science research. Find the full documentation for HTC at: https://crc.pitt.edu/htc.
dual 8-core Haswel-EP CPU (Intel Xeon E5-2630 v3 2.4GHz)
- 20 nodes
- 256 GB RAM
- 256 GB SSD
- FDR Infiniband
dual 12-core Skylake CPU (Intel Xeon Gold 6126 2.60 GHz)
- 4 nodes
- 384 GB RAM
- 256 GB SSD & 500 GB SSD
- FDR Infiniband