HPC-Gridware provides a centralized workload management platform that automates job scheduling and resource allocation across heterogeneous HPC clusters. It integrates with existing batch schedulers via plug‑in adapters and offers a web‑based portal, real‑time dashboards, and API/CLI tools for submitting, monitoring, and optimizing scientific and engineering workloads.
Funding
Funding not disclosed
Founders
Product
Problem
High-performance computing (HPC) environments often struggle with inefficient workload distribution, manual job scheduling, and limited visibility into resource utilization, leading to underused clusters and delayed scientific results.
Solution
HPC‑Gridware offers a centralized workload management platform that automates job scheduling across heterogeneous compute resources. The system integrates with existing batch schedulers and provides a web‑based interface for submitting, monitoring, and controlling jobs in real time. It optimizes resource allocation using configurable policies, supports priority queues, and balances workloads to maximize throughput. Detailed analytics and dashboards give administrators insight into cluster performance, job history, and utilization trends, enabling data‑driven capacity planning.
Target Audience
Primary customers are research institutions, universities, and enterprises that operate HPC clusters and need efficient, automated workload orchestration for scientific and engineering workloads.
Features
- Unified web portal for job submission, monitoring, and management across multiple HPC clusters
- Seamless integration with common batch schedulers (e.g., Slurm, PBS, LSF) via plug‑in adapters
- Policy‑driven scheduling engine that supports priority, fair‑share, and back‑fill strategies
- Real‑time resource tracking and utilization dashboards with exportable reports
- Automated error detection and notification system for failed or stalled jobs
- API and CLI tools for scripting and integration with external workflow systems