Strategy
- Start Small: Begin with test jobs to determine actual resource needs
- Match Resources to Requirements: Request only the cores and memory your job will use
- Consider Wait Times: Smaller requests often have shorter queue times
- Use Shared Queues: For jobs that don’t need a full node
- Verify Compatibility: Ensure software works with the target CPU/GPU architecture
Tip: Effective queue selection balances your job needs with system efficiency. Memory only needs to be specified for shared queues; otherwise, all available memory is requested by default.
Legacy Queues (login1/login2)
28-Core Intel Haswell Nodes
AVX2 support and 128 GB memory per node.
| Queue | Duration | Max Nodes | Shared | Best For |
|---|---|---|---|---|
| debug-28core | 1 hr | 8 | No | Testing/debugging |
| short-28core | 1-4 hr | 12 | No | Small/medium jobs |
| medium-28core | 4-12 hr | 24 | No | Medium parallel jobs |
| long-28core | 8-48 hr | 8 | No | Long simulations |
| extended-28core | 8 hr - 7 days | 2 | No | Very long simulations |
| large-28core | 4-8 hr | 80 | No | Large parallel jobs |
GPU Options
| Queue | GPU | Memory | Duration | Best For |
|---|---|---|---|---|
| gpu | 4× K80 | 24 GB | 1-8 hr | Basic GPU workloads |
| gpu-long | 4× K80 | 24 GB | 8-48 hr | Long GPU jobs |
| p100 | 2× P100 | 16 GB | 1-24 hr | Scientific computing |
| v100 | 2× V100 | 32 GB | 1-24 hr | ML/AI |
Modern Queues (milan1/milan2)
40-Core Intel Skylake Nodes
AVX512 support and 192 GB memory per node.
| Queue | Duration | Max Nodes | Shared | Best For |
|---|---|---|---|---|
| debug-40core | 1 hr | 8 | No | Testing/debugging |
| short-40core | 1-4 hr | 8 | No | Standard jobs |
| short-40core-shared | 1-4 hr | 4 | Yes | Smaller jobs |
| medium-40core | 4-12 hr | 16 | No | Medium jobs |
| long-40core | 8-48 hr | 6 | No | Long jobs |
| long-40core-shared | 8-24 hr | 3 | Yes | Shared long jobs |
| extended-40core | 8 hr - 7 days | 2 | No | Very long jobs |
| extended-40core-shared | 8 hr - 3.5 days | 1 | Yes | Shared extended jobs |
| large-40core | 4-8 hr | 50 | No | Large parallel jobs |
96-Core AMD EPYC Milan Nodes
AVX2 support and 256 GB memory per node.
| Queue | Duration | Max Nodes | Shared | Best For |
|---|---|---|---|---|
| short-96core | 1-4 hr | 8 | No | Parallel jobs |
| short-96core-shared | 1-4 hr | 4 | Yes | Moderate shared jobs |
| medium-96core | 4-12 hr | 16 | No | Parameter sweeps |
| long-96core | 8-48 hr | 6 | No | Long parallel jobs |
| long-96core-shared | 8-24 hr | 3 | Yes | Shared long jobs |
| extended-96core | 8 hr - 7 days | 2 | No | Very long jobs |
| extended-96core-shared | 8 hr - 3.5 days | 1 | Yes | Shared extended jobs |
| large-96core | 4-8 hr | 38 | No | Large parallel jobs |
High-Bandwidth Memory (HBM) Nodes
AMX/AVX512 support and 384 GB memory per node (256 GB DDR5 + 128 GB HBM).
| Queue | Duration | Max Nodes | Special Features | Best For |
|---|---|---|---|---|
| hbm-short-96core | 1-4 hr | 8 | High-bandwidth memory | Memory-intensive jobs |
| hbm-medium-96core | 4-12 hr | 16 | Enhanced memory performance | Large datasets |
| hbm-long-96core | 8-48 hr | 6 | 2-4x memory speed | Memory-bound simulations |
| hbm-extended-96core | 8 hr - 7 days | 2 | Maximum duration | Long memory jobs |
| hbm-large-96core | 4-8 hr | 38 | Large-scale HBM computing | Massive memory-bound jobs |
| hbm-1tb-long-96core | 8-48 hr | 1 | 1 TB memory + 128 GB HBM cache | Extremely large datasets |
HBM Note: Use HBM nodes for workloads limited by memory bandwidth.
NVIDIA A100 GPU Nodes
4× A100 80 GB GPUs with 64-core Intel Ice Lake nodes (256 GB memory).
| Queue | Duration | Max Nodes | Shared | Best For |
|---|---|---|---|---|
| a100 | 1-8 hr | 2 | Yes | GPU workloads, AI/ML |
| a100-long | 8-48 hr | 1 | Yes | Long GPU jobs |
| a100-large | 1-8 hr | 4 | Yes | Large GPU jobs |
GPU Note: Use GPU queues only for compatible applications. Verify CUDA/software requirements before submission.