High-Performance Compute Cluster (HPCC) (CDM-014)
Summary 🟡 ?
- Owner Unit: Jarvis College of Computing and Digital Media
- Sub-unit: School of Computing
- Content Type: infrastructure
- Campus/Location: Loop
- Last Verified: June 14, 2026
Description & capabilities
University HPC cluster with GPU-accelerated nodes (NVIDIA H100 and A100 CDM AI Server), cloud/container support, and systems evaluation capabilities. Hosted on university research network and datacenter infrastructure (UNI-013).
Access status
- Level: yellow (
Negotiated Access) - Rationale: HPCC is a School of Computing research cluster; account provisioning and eligibility are arranged through SoC/IT research computing staff — public site documents capabilities but not self-service signup.
- Access URL: hpcc.cs.depaul.edu
- Contact name: School of Computing (HPCC inquiries)
- Contact email: cdm@depaul.edu
- Verification date: 2026-06-30
- Source URLs:
- hpcc.cs.depaul.edu
Verification
- Status: needs_review (
?) - Confidence: 44/100
- Rationale: HPCC public homepage still advertises 'Coming Fall 2025' (fetched May 2026), suggesting stale marketing copy and unclear whether cluster is fully operational for users.
- Last verified: 2026-06-14
- Evidence:
- hpcc.cs.depaul.edu reachable (May 2026)
- Homepage text: 'Coming Fall 2025' — no account-request or operations documentation
- Grant/map references describe H100/A100 capacity but not live user onboarding
- AGIF appendix names DePaul High-Performance Compute Cloud — GRA-916; sources/inbox/2026-06-14-agif-reports-2018-2025/uploads/AGIF_Annual_Report2024_FINAL.pdf
Equipment
Find this resource from the Equipment catalog or site search (e.g. “3D printers”, “laser cutter”, “NMR”).
| Category | Specific equipment |
|---|---|
| GPU compute | NVIDIA H100 NVL GPUs; CDM AI Server — 4× NVIDIA A100 GPUs (320 GB GPU memory); Ubuntu 20.04 with Lambda Stack (TensorFlow, PyTorch, CUDA, cuDNN); 64 CPU cores; 1 TB RAM; 7.7 TB NVMe |
| HPC and cloud infrastructure | Hosted containers and VMs; Kubernetes / DevOps platforms (Docker, Argo CD, Flux); Systems Evaluation Lab (performance measurement) |
| Creative workstations | GPU-capable research workstations (image analysis, model fitting, local ML pipeline testing) |
Equipment access (via linked resources)
| Resource | Notes |
|---|---|
| UNI-013 | Primary/secondary datacenters and campus research network (Internet2 / Starlight) |
| CDM-021 | CDM Xeon server pool and department compute infrastructure |
Source: HPCC official site; Facilities-DiaBalance CDM AI Server; grant GPU configs (May 2026). Last verified: May 28, 2026.
Contacts (resource-level)
Last verified: May 28, 2026.
People & contacts
Named contacts from the people registry when publicly documented.
- Raffaella Settimi-Woods (Administrator) — rsettimi@cdm.depaul.edu · Profile
- Bamshad Mobasher (Affiliated faculty) — Profile
Source URL
Official links and email are listed under Contacts above.
Documented Relationships
Supports AI Institute, Physics and other cross-college compute demand (e.g. closed-loop analysis pipelines paired with CSH-007 beamline instrumentation work). AGIF-funded DePaul High-Performance Compute Cloud initiative (GRA-916, GRL-018) documented in ORS AGIF appendix.
Linked Relationship IDs
- UNI-005 - AI Institute (Translational profile)
- CSH-005 - Physics & Astrophysics Laboratories
- CSH-007 - Physics Laser Timing & FPGA Laboratories
- UNI-013 - DePaul Research Network & Datacenters
- CDM-021 - CDM Department Server Infrastructure
Notes
Infrastructure entry. Internal AGIF award GRA-916 (DePaul High-Performance Compute Cloud, $300,000, FY 2023-2024) names this infrastructure in project title — see sources/inbox/2026-06-14-agif-reports-2018-2025/.