Accelerate Research . Optimize Compute. Scale HPC with Confidence.
Statscog Labs designs and delivers High Performance Computing (HPC) platforms using IBM Spectrum LSF and Altair solutions—enabling faster simulations, smarter scheduling, and cost-efficient compute operations across on-prem, cloud, and hybrid environments.
HPC success depends on more than powerful servers—it requires the right scheduler, efficient workload orchestration, strong governance, and a platform that scales as demand grows. Statscog Labs helps organizations build and operate HPC environments that deliver:
- High cluster utilization and fair-share scheduling
- Faster turnaround for compute-intensive jobs
- Secure multi-tenant operations for teams and departments
- Scalable architecture for burst, hybrid, and growth scenarios
We support HPC platforms powered by IBM Spectrum LSF and Altair (PBS Professional / Altair Access and related HPC stack components), tailored to your workload profile and operational needs.
Core Offerings
HPC Architecture & Platform Design
Build an HPC foundation that fits your workload and growth plan.
What we deliver
- HPC readiness assessment and target architecture
- Cluster design: compute, head nodes, login nodes, storage, network
- Capacity planning and sizing for CPU/GPU workloads
- High availability and resilience planning (scheduler, management services)
- Secure tenant design (projects, queues, user groups, quotas)
Outcomes
- Predictable performance and scalable growth
- Reduced bottlenecks and improved job throughput
- A platform ready for enterprise adoption and governance
Workload Scheduling & Cluster Orchestration
IBM Spectrum LSF (Workload Management)
Enterprise-grade scheduling for high cluster utilization.
What we deliver
- LSF installation, configuration, and cluster setup
- Queue design, fair-share policies, resource limits, and preemption rules
- GPU scheduling strategy and resource isolation patterns
- Job prioritization aligned to business/project needs
- Operational monitoring, reporting, and scheduler tuning
Best for
- Large multi-team HPC environments requiring governance and policy control
- High job volume with mixed priorities and strict scheduling requirements
- Organizations looking for strong control over utilization and fairness
HPC Storage & Data Performance Enablement
Keep compute fed with high-throughput data access.
What we deliver
- HPC storage architecture guidance (high-throughput file systems, tiering)
- I/O optimization and bottleneck analysis
- Data lifecycle strategy for hot/warm/cold storage tiers
- Backup and recovery approach aligned to HPC usage patterns
Outcomes
- Reduced queue delays caused by storage bottlenecks
- Faster job completion times for data-intensive workloads
- Better data availability and operational stability
HPC Security, Governance & Multi-Tenancy
Operate HPC like an enterprise platform, not a lab setup.
What we deliver
- RBAC model for users, projects, and admins
- Quotas, limits, fair-share, and department-based chargeback/showback patterns
- Secure access design for login nodes and job execution
- Audit-ready operational practices and documentation
Outcomes
- Controlled access and reduced operational risk
- Clear governance for shared HPC environments
Transparent utilization reporting and accountability
HPC Operations, Monitoring & Optimization
Sustain performance and reliability after go-live.
What we deliver
- Health monitoring and proactive alerting strategy
- Scheduler tuning to reduce wait time and improve throughput
- Utilization reporting and optimization recommendations
- Upgrades, patching strategy, and operational runbooks
- Optional managed support for steady-state operations
Outcomes
- Higher utilization and better ROI on compute investments
- Reduced downtime and faster incident response
- Continuous improvement based on measurable metrics
Altair HPC Solutions
Flexible scheduling and workload management for simulation-driven workloads.
What we deliver
- Altair scheduler deployment and configuration (PBS Professional or equivalent)
- Queue policies, reservations, project-based scheduling, and usage reporting
- Integration with simulation tools and engineering workflows
- User experience enablement for job submission and monitoring
- Scheduling optimization and ongoing tuning
Best for
- Engineering and simulation environments needing workflow-friendly scheduling
- Organizations requiring project-based controls and reporting
- Teams running large CAE/EDA-type workloads and toolchains
HPC Use Cases We Enable
- Engineering simulation and CAE workloads
- EDA and compute-intensive design workflows
- Data-heavy analytics and modeling
- Scientific research and academic compute environments
- AI/ML training and GPU-based workloads (where applicable)
- Financial risk modeling and batch compute workloads
How We Engage
Engagement Models
- Assessment & Roadmap: workload study, bottleneck review, target architecture
- Pilot / PoC: implement a small cluster + scheduler baseline to validate performance
- Implementation: full HPC platform deployment with governance and documentation
- Optimization: scheduler policy tuning, storage improvements, utilization uplift
- Managed Support (Optional): monitoring, upgrades, and operational stability support
Delivery Approach
- Discover → Design → Build → Integrate → Validate → Operate
(With governance, documentation, and operational readiness built in.)
Why Statscog Labs
- Proven expertise across IBM Spectrum LSF and Altair HPC scheduling ecosystems
- Outcome-focused approach: utilization, throughput, user experience, and stability
- Strong operational delivery: runbooks, monitoring, and governance from day one
- Flexible models: build from scratch or optimize existing HPC platforms